<![CDATA[Edge Of Intelligence]]>Edge of Intelligence is a conversational podcast exploring how AI, automation, cybersecurity, and digital transformation are reshaping the way leaders make decisions.

Hosted by Carl Owen — fractional CIO, cybersecurity executive, and AI advisor — each episode features founders, executives, and innovators operating at the intersection of intelligence and execution.

This isn’t a hype-driven AI show. It’s a practical, strategic discussion about what actually works inside organizations under pressure. From governance and data readiness to operational scale and decision velocity, Edge of Intelligence examines how leaders turn insight into action.

If you care about building intelligent, resilient, and future-ready organizations — you’re in the right place.

]]>www.riverside.comRiverside.fm (https://riverside.com)Thu, 08 Oct 2026 02:06:15 GMTMon, 23 Feb 2026 16:03:11 GMT60Carl Owen<p><b>Edge of Intelligence</b> is a conversational podcast exploring how AI, automation, cybersecurity, and digital transformation are reshaping the way leaders make decisions.</p><p></p><p>Hosted by Carl Owen — fractional CIO, cybersecurity executive, and AI advisor — each episode features founders, executives, and innovators operating at the intersection of intelligence and execution.</p><p></p><p>This isn’t a hype-driven AI show. It’s a practical, strategic discussion about what actually works inside organizations under pressure. From governance and data readiness to operational scale and decision velocity, <i>Edge of Intelligence</i> examines how leaders turn insight into action.</p><p></p><p>If you care about building intelligent, resilient, and future-ready organizations — you’re in the right place.</p>episodicCarl Owencarlowen@proteligen.comno<![CDATA[From Data to Decision Advantage: Intelligence, Risk, and AI with Andres Andreu]]>In this episode of Edge of Intelligence, Carl Owen sits down with Andres Andreu, CEO of Constella Intelligence, for a deep, no-hype conversation on what intelligence actually means in today’s enterprise environments.

Drawing on decades of experience across national security, law enforcement, and enterprise cybersecurity, Andres explains why most organizations don’t suffer from a lack of data—but from a lack of decision confidence. Together, they explore how identity-centric intelligence, data-driven risk modeling, and disciplined governance separate signal from noise in a world overwhelmed by alerts, AI claims, and fragmented threat feeds.

This conversation goes far beyond tools and platforms. Topics include:

● Why raw data has no value without attribution and context

● How personal and corporate identities are inseparably linked—and why ignoring that creates blind spots

● The danger of automating decisions without human judgment in the loop

● Why many security teams are “fighting imaginary adversaries”

● How intelligence must evolve from episodic reports into continuous decision support

● The overlooked risks of AI data leakage and post-quantum threats

● Why protecting endpoints often misses the real crown jewels: data and identity

If you’re a CISO, CIO, CEO, or technology leader navigating AI adoption, enterprise risk, or cybersecurity strategy, this episode will challenge how you think about intelligence—and what it really takes to gain decision advantage under pressure.

🔗 Learn more about Edge of Intelligence and Carl’s advisory work at Proteligen.com

]]>b2cce108-40b2-424d-808d-b84a18b04e8cWed, 20 May 2026 16:27:02 GMT<p>In this episode of Edge of Intelligence, Carl Owen sits down with Andres Andreu, CEO of Constella Intelligence, for a deep, no-hype conversation on what intelligence actually means in today’s enterprise environments.<br /><br />Drawing on decades of experience across national security, law enforcement, and enterprise cybersecurity, Andres explains why most organizations don’t suffer from a lack of data—but from a lack of decision confidence. Together, they explore how identity-centric intelligence, data-driven risk modeling, and disciplined governance separate signal from noise in a world overwhelmed by alerts, AI claims, and fragmented threat feeds.<br /><br />This conversation goes far beyond tools and platforms. Topics include:<br /><br />● Why raw data has no value without attribution and context<br /><br />● How personal and corporate identities are inseparably linked—and why ignoring that creates blind spots<br /><br />● The danger of automating decisions without human judgment in the loop<br /><br />● Why many security teams are “fighting imaginary adversaries”<br /><br />● How intelligence must evolve from episodic reports into continuous decision support<br /><br />● The overlooked risks of AI data leakage and post-quantum threats<br /><br />● Why protecting endpoints often misses the real crown jewels: data and identity<br /><br />If you’re a CISO, CIO, CEO, or technology leader navigating AI adoption, enterprise risk, or cybersecurity strategy, this episode will challenge how you think about intelligence—and what it really takes to gain decision advantage under pressure.<br /><br />🔗 Learn more about Edge of Intelligence and Carl’s advisory work at <a rel="noopener noreferrer nofollow" href="http://Proteligen.com" target="_blank">Proteligen.com</a></p>no00:36:17From Data to Decision Advantage: Intelligence, Risk, and AI with Andres Andreufull<![CDATA[From CRM to Growth OS: How AI Is Reshaping Customer Journeys at Scale]]>What if your CRM, analytics, experimentation, and automation tools actually worked together—and AI helped you turn insight into action in days instead of months?

In this episode of Edge of Intelligence, host Carl Owen sits down with Sid Chaudhary, Founder & CEO of Intempt, to explore how AI is reshaping customer growth through a Growth OS—a unified platform that combines customer data, predictive analytics, experimentation, and AI-powered automation.

Sid shares lessons from his time at Adobe, the evolution from sales-led to product-led growth, and why modern SaaS, fintech, and e-commerce companies must rethink how they acquire, convert, and retain customers. The conversation dives deep into AI copilots for marketers and sellers, responsible AI adoption, privacy-first personalization, and why growth today is about compressing the time from insight to action.

🎯 In this episode, we cover:

● Why traditional CRMs and marketing stacks break down at scale

● What a “Growth OS” really is—and how it differs from CRM or marketing automation

● How AI copilots help marketers, sellers, and product teams work faster and smarter

● Product-led growth, signal-based selling, and warm outbound

● AI-driven personalization without violating privacy or compliance

● Responsible AI, consent management, and GDPR/CCPA realities

● Why AI should act as a junior teammate, not a replacement for humans

● The collapse of traditional websites and the rise of LLM-driven customer journeys

● Real customer results, including meaningful conversion-rate gains

If you’re a CIO, CMO, founder, or growth leader trying to make customer data actionable—and turn AI hype into real execution—this episode delivers a practical, grounded perspective.

🔗 Learn more about Intempt: https://intempt.com

🔗 Learn more about Carl Owen & Proteligent: https://proteligen.com

📌 Subscribe to Edge of Intelligence for conversations where AI, automation, and strategy meet real-world execution.

]]>99094f99-687b-4a50-bdc2-a38b994e9e5fWed, 20 May 2026 16:23:44 GMT<p>What if your CRM, analytics, experimentation, and automation tools actually worked together—and AI helped you turn insight into action in days instead of months?<br /><br />In this episode of Edge of Intelligence, host Carl Owen sits down with Sid Chaudhary, Founder &amp; CEO of Intempt, to explore how AI is reshaping customer growth through a Growth OS—a unified platform that combines customer data, predictive analytics, experimentation, and AI-powered automation.<br /><br />Sid shares lessons from his time at Adobe, the evolution from sales-led to product-led growth, and why modern SaaS, fintech, and e-commerce companies must rethink how they acquire, convert, and retain customers. The conversation dives deep into AI copilots for marketers and sellers, responsible AI adoption, privacy-first personalization, and why growth today is about compressing the time from insight to action.<br /><br />🎯 In this episode, we cover:<br /><br />● Why traditional CRMs and marketing stacks break down at scale<br /><br />● What a “Growth OS” really is—and how it differs from CRM or marketing automation<br /><br />● How AI copilots help marketers, sellers, and product teams work faster and smarter<br /><br />● Product-led growth, signal-based selling, and warm outbound<br /><br />● AI-driven personalization without violating privacy or compliance<br /><br />● Responsible AI, consent management, and GDPR/CCPA realities<br /><br />● Why AI should act as a junior teammate, not a replacement for humans<br /><br />● The collapse of traditional websites and the rise of LLM-driven customer journeys<br /><br />● Real customer results, including meaningful conversion-rate gains<br /><br />If you’re a CIO, CMO, founder, or growth leader trying to make customer data actionable—and turn AI hype into real execution—this episode delivers a practical, grounded perspective.<br /><br />🔗 Learn more about Intempt: <a rel="noopener noreferrer nofollow" href="https://intempt.com" target="_blank">https://intempt.com</a><br /><br />🔗 Learn more about Carl Owen &amp; Proteligent: <a rel="noopener noreferrer nofollow" href="https://proteligen.com" target="_blank">https://proteligen.com</a><br /><br />📌 Subscribe to Edge of Intelligence for conversations where AI, automation, and strategy meet real-world execution.</p>no01:10:16From CRM to Growth OS: How AI Is Reshaping Customer Journeys at Scalefull<![CDATA[From Chatbots to Digital Coworkers: Designing AI Agents That Actually Scale]]>What comes after chatbots?

In this episode of Edge of Intelligence, host Carl Owen sits down with Werner Stucky, Founder & CEO of Stubber, to unpack the rise of AI agents—autonomous digital employees that don’t just answer questions, but complete real work end-to-end.

Werner shares how Stubber is helping organizations move beyond hype by designing AI agents that integrate directly into business systems, handle repetitive operational tasks, and dramatically increase work velocity. From purchase order approvals to sales qualification and multilingual customer engagement, this conversation goes deep into what it actually takes to deploy AI agents safely, reliably, and at scale.

🎯 In this episode, we cover:

➢ Why chatbots failed—and how AI agents fix the problem

➢ What defines a true AI agent vs. simple LLM augmentation

➢ How autonomous digital employees integrate with APIs, ERPs, and core systems

➢ The difference between augmentative agents and fully independent agents

➢ Why “deflection rate” is the wrong metric—and what to measure instead

➢ How to think about governance, auditability, and safety for AI agents

➢ Why most AI projects fail—and how to avoid the common traps

➢ The future of AI employees and how agent-to-agent communication will evolve

If you’re a CIO, CTO, founder, or transformation leader trying to move from AI experimentation to real operational impact, this episode offers a practical blueprint grounded in real-world deployments—not demos.

🔗 Learn more about Stubber: https://stubber.com

🔗 Learn more about Carl Owen & Proteligen: https://proteligen.com

📌 Subscribe to Edge of Intelligence for conversations where strategy, systems, and smart technology converge.

]]>55b77dbe-e88e-4a2e-9780-39a62f63e835Wed, 20 May 2026 16:19:08 GMT<p>What comes after chatbots?<br /><br />In this episode of Edge of Intelligence, host Carl Owen sits down with Werner Stucky, Founder &amp; CEO of Stubber, to unpack the rise of AI agents—autonomous digital employees that don’t just answer questions, but complete real work end-to-end.<br /><br />Werner shares how Stubber is helping organizations move beyond hype by designing AI agents that integrate directly into business systems, handle repetitive operational tasks, and dramatically increase work velocity. From purchase order approvals to sales qualification and multilingual customer engagement, this conversation goes deep into what it actually takes to deploy AI agents safely, reliably, and at scale.<br /><br />🎯 In this episode, we cover:<br /><br />➢ Why chatbots failed—and how AI agents fix the problem<br /><br />➢ What defines a true AI agent vs. simple LLM augmentation<br /><br />➢ How autonomous digital employees integrate with APIs, ERPs, and core systems<br /><br />➢ The difference between augmentative agents and fully independent agents<br /><br />➢ Why “deflection rate” is the wrong metric—and what to measure instead<br /><br />➢ How to think about governance, auditability, and safety for AI agents<br /><br />➢ Why most AI projects fail—and how to avoid the common traps<br /><br />➢ The future of AI employees and how agent-to-agent communication will evolve<br /><br />If you’re a CIO, CTO, founder, or transformation leader trying to move from AI experimentation to real operational impact, this episode offers a practical blueprint grounded in real-world deployments—not demos.<br /><br />🔗 Learn more about Stubber: <a rel="noopener noreferrer nofollow" href="https://stubber.com" target="_blank">https://stubber.com</a><br /><br />🔗 Learn more about Carl Owen &amp; Proteligen: <a rel="noopener noreferrer nofollow" href="https://proteligen.com" target="_blank">https://proteligen.com</a><br /><br />📌 Subscribe to Edge of Intelligence for conversations where strategy, systems, and smart technology converge.</p>no01:06:39From Chatbots to Digital Coworkers: Designing AI Agents That Actually Scalefull<![CDATA[Regional to Relentless: Paul Nolde on Building a Venture Hub for Critical-Infrastructure Startups]]>In this episode of Edge of Intelligence, host Carl Owen, fractional CIO and AI advisor at Proteligen, sits down with Paul Nolde, Executive Director of 757 CoLab, to explore how regional startup ecosystems are being built and scaled, outside of traditional tech hubs like Silicon Valley.

Paul shares his journey from banking and investment management into ecosystem leadership, and how 757 CoLab has grown into one of the most dynamic venture hubs on the East Coast. Serving founders across Virginia’s Hampton Roads region, 757 CoLab combines incubation, acceleration, and angel investment into a full-stack support system for high-growth startups.

This conversation dives deep into:

● How regional innovation hubs compete with major tech markets
● The role of accelerators, startup studios, and angel networks—and how they work together
● Why defense, energy security, maritime, and critical infrastructure innovation are emerging as key verticals
● How AI is transforming founder selection, mentorship matching, and accelerator operations
● Balancing human judgment with data-driven decision-making in early-stage investing
● Measuring ecosystem success beyond jobs created and capital raised
● The importance of culture, collaboration, and long-term thinking in ecosystem building

Whether you’re a founder, investor, policymaker, or community builder, this episode offers a practical look at what it really takes to create sustainable innovation ecosystems—and how AI and data strategy are accelerating that evolution.

🔗 Learn more about 757 CoLab: https://www.757colab.org
🔗 Learn more about 757 CoLab: https://startinhamptonroads.com
🔗 Learn more about 757 CoLab: https://mortensendesigns.my.canva.site/2025-757collab-impactreport
🔗 Connect with Paul Nolde on LinkedIn: https://www.linkedin.com/in/paul-nolde-8143546/
🔗 Learn more about Proteligen’s AI and data advisory services

Ask better questions. Build smarter systems. Stay on the Edge of Intelligence.

]]>9a2e5b98-9fa7-4b59-986c-997748fdebbbWed, 20 May 2026 16:15:48 GMT<p>In this episode of Edge of Intelligence, host Carl Owen, fractional CIO and AI advisor at Proteligen, sits down with Paul Nolde, Executive Director of 757 CoLab, to explore how regional startup ecosystems are being built and scaled, outside of traditional tech hubs like Silicon Valley.<br /><br />Paul shares his journey from banking and investment management into ecosystem leadership, and how 757 CoLab has grown into one of the most dynamic venture hubs on the East Coast. Serving founders across Virginia’s Hampton Roads region, 757 CoLab combines incubation, acceleration, and angel investment into a full-stack support system for high-growth startups.<br /><br />This conversation dives deep into:<br /><br />● How regional innovation hubs compete with major tech markets<br />● The role of accelerators, startup studios, and angel networks—and how they work together<br />● Why defense, energy security, maritime, and critical infrastructure innovation are emerging as key verticals<br />● How AI is transforming founder selection, mentorship matching, and accelerator operations<br />● Balancing human judgment with data-driven decision-making in early-stage investing<br />● Measuring ecosystem success beyond jobs created and capital raised<br />● The importance of culture, collaboration, and long-term thinking in ecosystem building<br /><br />Whether you’re a founder, investor, policymaker, or community builder, this episode offers a practical look at what it really takes to create sustainable innovation ecosystems—and how AI and data strategy are accelerating that evolution.<br /><br />🔗 Learn more about 757 CoLab: <a rel="noopener noreferrer nofollow" href="https://www.757colab.org" target="_blank">https://www.757colab.org</a><br />🔗 Learn more about 757 CoLab: <a rel="noopener noreferrer nofollow" href="https://startinhamptonroads.com" target="_blank">https://startinhamptonroads.com</a><br />🔗 Learn more about 757 CoLab: <a rel="noopener noreferrer nofollow" href="https://mortensendesigns.my.canva.site/2025-757collab-impactreport" target="_blank">https://mortensendesigns.my.canva.site/2025-757collab-impactreport</a><br />🔗 Connect with Paul Nolde on LinkedIn: <a rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/paul-nolde-8143546/" target="_blank">https://www.linkedin.com/in/paul-nolde-8143546/</a><br />🔗 Learn more about Proteligen’s AI and data advisory services<br /><br />Ask better questions. Build smarter systems. Stay on the Edge of Intelligence.</p>no00:49:55Regional to Relentless: Paul Nolde on Building a Venture Hub for Critical-Infrastructure Startupsfull<![CDATA[Beyond Dashboards: Amit Mundra on Decision Intelligence That Acts]]>In this episode of Edge of Intelligence, host Carl Owen, fractional CIO, CISO, and AI advisor at Proteligen, sits down with Amit Mundra, Founder & CEO of GroFlex, an AI-driven decision intelligence platform designed to move organizations beyond static dashboards and reactive analytics.

Amit shares the 25-year journey that led him to build GroFlex—starting with early inspiration from Minority Report to today’s reality of AI-powered, cross-functional decision intelligence. Together, Carl and Amit explore why traditional BI tools fall short, how organizations can uncover hidden patterns across siloed data, and what it takes to turn insights into trusted, actionable decisions.

This conversation dives deep into:

● Why enterprises don’t need more dashboards—they need clarity and next steps
● How decision intelligence differs from traditional BI and analytics
● Building trust, transparency, and explainability into AI systems
● Connecting internal and external data to anticipate risks and opportunities
● Predictive, prescriptive, and “what-if” modeling in real business workflows
● The role of consultative AI adoption for mid-market and enterprise organizations
● Why digital twins, cross-functional KPIs, and decision layers are the future

If you’re a business leader, CIO, CISO, or founder looking to operationalize AI, align data across departments, and create a real competitive advantage, this episode offers a clear roadmap for what’s next.

🔗 Learn more about GroFlex: https://www.groflex.ai
🔗 Connect with Amit Mundra on LinkedIn: https://www.linkedin.com/in/mundraamit/
🔗 Learn more about Proteligen and AI advisory services

Ask better questions. Build smarter systems. Stay on the Edge of Intelligence.

]]>a23a185b-3235-46bf-bce7-aa020b6d6710Wed, 20 May 2026 16:13:17 GMT<p>In this episode of Edge of Intelligence, host Carl Owen, fractional CIO, CISO, and AI advisor at Proteligen, sits down with Amit Mundra, Founder &amp; CEO of GroFlex, an AI-driven decision intelligence platform designed to move organizations beyond static dashboards and reactive analytics.<br /><br />Amit shares the 25-year journey that led him to build GroFlex—starting with early inspiration from Minority Report to today’s reality of AI-powered, cross-functional decision intelligence. Together, Carl and Amit explore why traditional BI tools fall short, how organizations can uncover hidden patterns across siloed data, and what it takes to turn insights into trusted, actionable decisions.<br /><br />This conversation dives deep into:<br /><br />● Why enterprises don’t need more dashboards—they need clarity and next steps<br />● How decision intelligence differs from traditional BI and analytics<br />● Building trust, transparency, and explainability into AI systems<br />● Connecting internal and external data to anticipate risks and opportunities<br />● Predictive, prescriptive, and “what-if” modeling in real business workflows<br />● The role of consultative AI adoption for mid-market and enterprise organizations<br />● Why digital twins, cross-functional KPIs, and decision layers are the future<br /><br />If you’re a business leader, CIO, CISO, or founder looking to operationalize AI, align data across departments, and create a real competitive advantage, this episode offers a clear roadmap for what’s next.<br /><br />🔗 Learn more about GroFlex: <a rel="noopener noreferrer nofollow" href="https://www.groflex.ai" target="_blank">https://www.groflex.ai</a><br />🔗 Connect with Amit Mundra on LinkedIn: <a rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/mundraamit/" target="_blank">https://www.linkedin.com/in/mundraamit/</a><br />🔗 Learn more about Proteligen and AI advisory services<br /><br />Ask better questions. Build smarter systems. Stay on the Edge of Intelligence.</p>no00:38:16Beyond Dashboards: Amit Mundra on Decision Intelligence That Actsfull<![CDATA[Mission, Mindset, and Meaning: Leadership Lessons from a Navy SEAL Commander]]>What can CIOs, CISOs, and business leaders learn about transformation from a retired US Navy SEAL commander?

In this episode of Edge of Intelligence, I sit down with Jimmy May — retired SEAL Commander and founder of Beyond the Brotherhood and Mayday Executive Services — to talk about leadership when the stakes are life and death, and what that teaches us about leading through digital and AI-driven change.

Jimmy shares powerful stories from combat and training, including:
➤ How losing multiple teammates to suicide led him to start Beyond the Brotherhood
➤ Why “risk equals opportunity” and how elite teams learn to thrive in uncertainty
➤ The mission–team–self framework and why it applies just as much to boardrooms as battlefields
➤ How community, purpose, and goals build real resilience in organizations
➤ The ethical tension of AI, robotics, and autonomous decision-making in future warfare
➤ Why mentorship, identity, and mission matter more than ever in times of disruption

Whether you're leading a digital transformation, implementing AI, or guiding people through layoffs, mergers, or reinvention, this conversation is a reminder that technology is only as strong as the people, culture, and mission behind it.

🎧 In this episode, we cover:
➤ The story behind Beyond the Brotherhood and preventing veteran suicide
➤ Translating SEAL decision-making to business and technology
➤ Running toward risk without being reckless
➤ Building organizational resilience (community, purpose, goals, timing)
➤ Mission statements, commander's intent, and empowering teams
➤ Identity, transition, and helping high performers find their next mission
➤ Keeping humanity, empathy, and purpose at the center of AI and automation

🔗 Learn more / get involved:
Beyond the Brotherhood – support, mentor, or hire: https://beyondthebrotherhood.org

If this episode resonates, please like, subscribe, and share it with someone leading through change.

]]>3e2d1ae3-0a59-41e7-9f15-c94bebd98383Wed, 20 May 2026 16:09:43 GMT<p>What can CIOs, CISOs, and business leaders learn about transformation from a retired US Navy SEAL commander?<br /><br />In this episode of Edge of Intelligence, I sit down with Jimmy May — retired SEAL Commander and founder of Beyond the Brotherhood and Mayday Executive Services — to talk about leadership when the stakes are life and death, and what that teaches us about leading through digital and AI-driven change.<br /><br />Jimmy shares powerful stories from combat and training, including:<br />➤ How losing multiple teammates to suicide led him to start Beyond the Brotherhood<br />➤ Why “risk equals opportunity” and how elite teams learn to thrive in uncertainty<br />➤ The mission–team–self framework and why it applies just as much to boardrooms as battlefields<br />➤ How community, purpose, and goals build real resilience in organizations<br />➤ The ethical tension of AI, robotics, and autonomous decision-making in future warfare<br />➤ Why mentorship, identity, and mission matter more than ever in times of disruption<br /><br />Whether you're leading a digital transformation, implementing AI, or guiding people through layoffs, mergers, or reinvention, this conversation is a reminder that technology is only as strong as the people, culture, and mission behind it.<br /><br />🎧 In this episode, we cover:<br />➤ The story behind Beyond the Brotherhood and preventing veteran suicide<br />➤ Translating SEAL decision-making to business and technology<br />➤ Running toward risk without being reckless<br />➤ Building organizational resilience (community, purpose, goals, timing)<br />➤ Mission statements, commander's intent, and empowering teams<br />➤ Identity, transition, and helping high performers find their next mission<br />➤ Keeping humanity, empathy, and purpose at the center of AI and automation<br /><br />🔗 Learn more / get involved:<br />Beyond the Brotherhood – support, mentor, or hire: <a rel="noopener noreferrer nofollow" href="https://beyondthebrotherhood.org" target="_blank">https://beyondthebrotherhood.org</a><br /><br />If this episode resonates, please like, subscribe, and share it with someone leading through change.</p>no00:58:06Mission, Mindset, and Meaning: Leadership Lessons from a Navy SEAL Commanderfull<![CDATA[Only 3 KPIs: Jon Morris’ Playbook for Profitable Service Firms]]>In this episode of Edge of Intelligence, Carl Owen sits down with Jon Morris, founder and CEO of Fiscal Advocate, to unpack how service-based businesses can turn financial data into a real strategic advantage.

Jon isn’t just a finance guy—he previously built one of the largest independent digital agencies, scaling Rise Interactive from a $10K business plan competition prize to nearly $40M in revenue before exiting. Now, through Fiscal Advocate and the EngineBI platform, he helps service firms move beyond spreadsheets and “gut feel” into decision systems that fund growth, innovation, and AI.

🔍 In this conversation, we dive into:

☞ Why gross margin is the most important number service firms don’t know—and why 50–60% is the magic range
☞ The simple 50 / 30 / 20 model (delivery, growth, profit) and how most firms quietly bleed cash by ignoring it
☞ Three KPIs every service business should obsess over:
1. Cash relative to monthly overhead
2. Profit margin (and why 20% is the benchmark)
3. Year-over-year revenue growth
☞ How Jon used a homegrown Google Sheets model to run Rise—and turned it into EngineBI, a platform for budgeting, forecasting, and benchmarking
☞ A sneak peek at LUCA, Fiscal Advocate’s upcoming AI CFO co-pilot, built to answer real-time questions about revenue, expenses, and staffing
☞ Why most “AI initiatives” are theater—and the test Jon uses to see who’s actually building something real
☞ The hard truth about leadership: A-player hiring, tough HR decisions, and why you must be willing to do the worst part of the job
☞ How to standardize services, scale teams, and still deliver high-quality client outcomes

If you’re a CIO, CTO, founder, MSP/MSSP leader, or service business executive, this episode will challenge how you think about financials, AI, and growth.

📌 Learn more about Jon & Fiscal Advocate

Website: fiscaladvocate.com
LinkedIn: https://www.linkedin.com/in/jonmorrisramsayinnovations/
Email: jon@fiscaladvocate.com

If this episode sparked ideas, subscribe, hit the 👍 button, and drop a comment:
👉 What’s the one metric you’re going to track more closely this quarter?

]]>32c03443-a5b4-4b61-b543-d0c9d914bfd0Wed, 20 May 2026 16:05:39 GMT<p>In this episode of Edge of Intelligence, Carl Owen sits down with Jon Morris, founder and CEO of Fiscal Advocate, to unpack how service-based businesses can turn financial data into a real strategic advantage.<br /><br />Jon isn’t just a finance guy—he previously built one of the largest independent digital agencies, scaling Rise Interactive from a $10K business plan competition prize to nearly $40M in revenue before exiting. Now, through Fiscal Advocate and the EngineBI platform, he helps service firms move beyond spreadsheets and “gut feel” into decision systems that fund growth, innovation, and AI.<br /><br />🔍 In this conversation, we dive into:<br /><br />☞ Why gross margin is the most important number service firms don’t know—and why 50–60% is the magic range<br />☞ The simple 50 / 30 / 20 model (delivery, growth, profit) and how most firms quietly bleed cash by ignoring it<br />☞ Three KPIs every service business should obsess over:<br /> 1. Cash relative to monthly overhead<br /> 2. Profit margin (and why 20% is the benchmark)<br /> 3. Year-over-year revenue growth<br />☞ How Jon used a homegrown Google Sheets model to run Rise—and turned it into EngineBI, a platform for budgeting, forecasting, and benchmarking<br />☞ A sneak peek at LUCA, Fiscal Advocate’s upcoming AI CFO co-pilot, built to answer real-time questions about revenue, expenses, and staffing<br />☞ Why most “AI initiatives” are theater—and the test Jon uses to see who’s actually building something real<br />☞ The hard truth about leadership: A-player hiring, tough HR decisions, and why you must be willing to do the worst part of the job<br />☞ How to standardize services, scale teams, and still deliver high-quality client outcomes<br /><br />If you’re a CIO, CTO, founder, MSP/MSSP leader, or service business executive, this episode will challenge how you think about financials, AI, and growth.<br /><br />📌 Learn more about Jon &amp; Fiscal Advocate<br /><br />Website: <a rel="noopener noreferrer nofollow" href="http://fiscaladvocate.com" target="_blank">fiscaladvocate.com</a><br />LinkedIn: <a rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/jonmorrisramsayinnovations/" target="_blank">https://www.linkedin.com/in/jonmorrisramsayinnovations/</a><br />Email: <a rel="noopener noreferrer nofollow" href="mailto:jon@fiscaladvocate.com" target="_blank">jon@fiscaladvocate.com</a><br /><br />If this episode sparked ideas, subscribe, hit the 👍 button, and drop a comment:<br />👉 What’s the one metric you’re going to track more closely this quarter?</p>no00:48:24Only 3 KPIs: Jon Morris’ Playbook for Profitable Service Firmsfull<![CDATA[Operationalizing Intelligence: Alexey Sapozhnikov on Building AI-Ready Enterprises]]>In this episode of Edge of Intelligence, host Carl Owen sits down with Alexey Sapozhnikov — founder and CEO of Andeavour — to explore one of the most consequential frontiers in modern business: the rise of organizational intelligence.

Alexey has spent decades at the intersection of AI, cybersecurity, and enterprise systems. Today, his company Andeavour is helping organizations transform scattered data, disconnected teams, and siloed decision-making into a unified, learning operating system powered by agentic AI.

In this conversation, we unpack:
🔹 What “organizational intelligence” actually means in practical terms
🔹 Why most companies have unrealistic expectations about AI
🔹 How Endeavor reduces false positives, improves alert triage, and drives ROI
🔹 The future of agentic AI, governance, and AI-powered workflows
🔹 How leaders should rethink decision-making, culture, and alignment
🔹 Why data quality, governance, and transparency determine AI success
🔹 The shift from AI as a “tool” to AI as a digital workforce
🔹 What industries will be disrupted next — from cyber to supply chain to financial services

Alexey also shares:
✔ How Andeavour plugs into existing platforms without “ripping and replacing”
✔ Why the first 30 days of value are the most important
✔ The biggest barriers to AI readiness inside organizations
✔ What high-performing companies do differently

Whether you're a CIO, CISO, founder, or business leader looking to operationalize AI, this episode is a masterclass in how to think about the next era of enterprise transformation.

Learn more about Andeavour: Andeavour.io
Connect with Alexey: LinkedIn: https://www.linkedin.com/in/alexey-sapozhnikov-%E2%98%81-88494a2/

Learn more about Proteligen & Edge of Intelligence: proteligent.com

If you enjoyed this episode, subscribe and stay on the Edge of Intelligence — where strategy, systems, and smart technology converge.

]]>b3497e15-e01f-45ab-844b-cde3327a0127Wed, 20 May 2026 16:02:28 GMT<p>In this episode of Edge of Intelligence, host Carl Owen sits down with Alexey Sapozhnikov — founder and CEO of Andeavour — to explore one of the most consequential frontiers in modern business: the rise of organizational intelligence.<br /><br />Alexey has spent decades at the intersection of AI, cybersecurity, and enterprise systems. Today, his company Andeavour is helping organizations transform scattered data, disconnected teams, and siloed decision-making into a unified, learning operating system powered by agentic AI.<br /><br />In this conversation, we unpack:<br />🔹 What “organizational intelligence” actually means in practical terms<br />🔹 Why most companies have unrealistic expectations about AI<br />🔹 How Endeavor reduces false positives, improves alert triage, and drives ROI<br />🔹 The future of agentic AI, governance, and AI-powered workflows<br />🔹 How leaders should rethink decision-making, culture, and alignment<br />🔹 Why data quality, governance, and transparency determine AI success<br />🔹 The shift from AI as a “tool” to AI as a digital workforce<br />🔹 What industries will be disrupted next — from cyber to supply chain to financial services<br /><br />Alexey also shares:<br />✔ How Andeavour plugs into existing platforms without “ripping and replacing”<br />✔ Why the first 30 days of value are the most important<br />✔ The biggest barriers to AI readiness inside organizations<br />✔ What high-performing companies do differently<br /><br />Whether you're a CIO, CISO, founder, or business leader looking to operationalize AI, this episode is a masterclass in how to think about the next era of enterprise transformation.<br /><br />Learn more about Andeavour: <a rel="noopener noreferrer nofollow" href="http://Andeavour.io" target="_blank">Andeavour.io</a><br />Connect with Alexey: LinkedIn: <a rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/alexey-sapozhnikov-%E2%98%81-88494a2/" target="_blank">https://www.linkedin.com/in/alexey-sapozhnikov-%E2%98%81-88494a2/</a><br /><br />Learn more about Proteligen &amp; Edge of Intelligence: <a rel="noopener noreferrer nofollow" href="http://proteligent.com" target="_blank">proteligent.com</a><br /><br />If you enjoyed this episode, subscribe and stay on the Edge of Intelligence — where strategy, systems, and smart technology converge.</p>no00:39:10Operationalizing Intelligence: Alexey Sapozhnikov on Building AI-Ready Enterprisesfull<![CDATA[Finance Meets Science: Gary Lu on Driving Biotech Growth with Discipline and Vision]]>Biotech only works when capital, science, and operations line up. In this Edge of Intelligence episode, host Carl Owen (Fractional CIO & AI Advisor, Proteligen) sits down with Gary Lu, finance executive at Biomerica, Inc. (NASDAQ: BMRA), to explore how financial discipline, data foundations, and smart commercialization can turn diagnostics into real-world impact.

Gary shares lessons from tech and fintech that translate directly to med-tech: capital allocation, cap table hygiene, go-to-market focus, and building data pipelines that make modeling useful (not wishful). We also unpack the future of diagnostic platforms (e.g., IBS and beyond), DTC/at-home testing, and where AI and tokenization might reshape healthcare data.

What you’ll learn
● How to blend financial rigor with scientific risk without stalling innovation
● Why data plumbing beats fancy models—and how to fix it fast
● Common startup pitfalls in diagnostics (pricing, feasibility, cap tables)
● Practical views on M&A integration, KPIs, and scaling DTC operations
● The case for at-home diagnostics and a platform approach beyond IBS
● Where tokenization and AI could intersect with healthcare data

Chapters
00:00 Intro
00:37 Guest intro
00:49 Gary’s path from fintech to med-tech & BioAmerica overview
03:19 Mission & positioning in diagnostics (beyond “test → prescription”)
05:25 Who BioAmerica works with (SAB, Rome Foundation, CDMO angle)
07:30 Startup pitfalls in biotech finance & commercialization
10:08 Balancing scientific risk and financial discipline
11:37 Modeling, capital allocation, and why data quality comes first
13:47 Where AI is (and isn’t) used today
14:52 Bridging QA/QC, operations, and finance
16:59 Guarding against model overconfidence/optimism
19:11 Standardizing forecasting & right-sizing tools
21:12 Operational bottlenecks and scale decisions
24:42 DTC shift: from distributors to card swipes
30:15 Finding manual work & automation opportunities
33:17 M&A integration philosophy that actually works
36:04 KPIs for legacy vs. new commercialization
37:55 Where a fractional CIO would help most
40:00 3–5 year outlook: platform diagnostics beyond IBS
43:45 Emerging tech: tokenization + healthcare data
45:44 Investor expectations are shifting (again)
47:34 Macro risks: labor, regulation, tariffs, and more
50:08 If capital were unlimited: rebuild data infra, scale verticals
52:12 One piece of advice for founders & finance leaders
54:48 Where to find Gary
56:01 Outro

Guest
Gary Lu
LinkedIn: https://www.linkedin.com/in/garylucpa/
Site: garylucpa.com

Connect
Host: Carl Owen — Fractional CIO/CISO & AI Advisor, Proteligen
LinkedIn: linkedin.com/in/owencarl
Advisory & inquiries: proteligen.com

If you’re building or investing in life sciences and want help aligning systems, data, and strategy, let’s talk.

]]>fa934121-2031-48d8-9a2e-6782f1c1adeaWed, 20 May 2026 15:58:47 GMT<p>Biotech only works when capital, science, and operations line up. In this Edge of Intelligence episode, host Carl Owen (Fractional CIO &amp; AI Advisor, Proteligen) sits down with Gary Lu, finance executive at Biomerica, Inc. (NASDAQ: BMRA), to explore how financial discipline, data foundations, and smart commercialization can turn diagnostics into real-world impact.<br /><br />Gary shares lessons from tech and fintech that translate directly to med-tech: capital allocation, cap table hygiene, go-to-market focus, and building data pipelines that make modeling useful (not wishful). We also unpack the future of diagnostic platforms (e.g., IBS and beyond), DTC/at-home testing, and where AI and tokenization might reshape healthcare data.<br /><br />What you’ll learn<br />● How to blend financial rigor with scientific risk without stalling innovation<br />● Why data plumbing beats fancy models—and how to fix it fast<br />● Common startup pitfalls in diagnostics (pricing, feasibility, cap tables)<br />● Practical views on M&amp;A integration, KPIs, and scaling DTC operations<br />● The case for at-home diagnostics and a platform approach beyond IBS<br />● Where tokenization and AI could intersect with healthcare data<br /><br />Chapters<br />00:00 Intro<br />00:37 Guest intro<br />00:49 Gary’s path from fintech to med-tech &amp; BioAmerica overview<br />03:19 Mission &amp; positioning in diagnostics (beyond “test → prescription”)<br />05:25 Who BioAmerica works with (SAB, Rome Foundation, CDMO angle)<br />07:30 Startup pitfalls in biotech finance &amp; commercialization<br />10:08 Balancing scientific risk and financial discipline<br />11:37 Modeling, capital allocation, and why data quality comes first<br />13:47 Where AI is (and isn’t) used today<br />14:52 Bridging QA/QC, operations, and finance<br />16:59 Guarding against model overconfidence/optimism<br />19:11 Standardizing forecasting &amp; right-sizing tools<br />21:12 Operational bottlenecks and scale decisions<br />24:42 DTC shift: from distributors to card swipes<br />30:15 Finding manual work &amp; automation opportunities<br />33:17 M&amp;A integration philosophy that actually works<br />36:04 KPIs for legacy vs. new commercialization<br />37:55 Where a fractional CIO would help most<br />40:00 3–5 year outlook: platform diagnostics beyond IBS<br />43:45 Emerging tech: tokenization + healthcare data<br />45:44 Investor expectations are shifting (again)<br />47:34 Macro risks: labor, regulation, tariffs, and more<br />50:08 If capital were unlimited: rebuild data infra, scale verticals<br />52:12 One piece of advice for founders &amp; finance leaders<br />54:48 Where to find Gary<br />56:01 Outro<br /><br />Guest<br />Gary Lu<br />LinkedIn: <a rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/garylucpa/" target="_blank">https://www.linkedin.com/in/garylucpa/</a><br />Site: <a rel="noopener noreferrer nofollow" href="http://garylucpa.com" target="_blank">garylucpa.com</a><br /><br />Connect<br />Host: Carl Owen — Fractional CIO/CISO &amp; AI Advisor, Proteligen<br />LinkedIn: <a rel="noopener noreferrer nofollow" href="http://linkedin.com/in/owencarl" target="_blank">linkedin.com/in/owencarl</a><br />Advisory &amp; inquiries: <a rel="noopener noreferrer nofollow" href="http://proteligen.com" target="_blank">proteligen.com</a><br /><br />If you’re building or investing in life sciences and want help aligning systems, data, and strategy, let’s talk.</p>no00:51:45Finance Meets Science: Gary Lu on Driving Biotech Growth with Discipline and Visionfull<![CDATA[Measuring What Matters: ROI-Driven Marketing at Scale with Jim Harenchar (RMG)]]>In this Edge of Intelligence episode, we delve beyond vanity metrics and discuss designing decision systems—how to transition from “pretty dashboards” to measurable business outcomes.

Guest: Jim Harenchar, CEO of RMG (Response Marketing Group)
Host: Carl Owen — Fractional CIO & AI Advisor, Proteligen

What we cover:
● RMG’s evolution from direct-mail modeling to multi-channel, ROI-driven marketing
● Building and operating a 150M+ household data foundation with 350–400 attributes; segmentation that actually improves response and ROAS
● Where AI adds real value today: analyzing data at scale, faster model iteration, and near-real-time reads
● Tooling & ops: Snowflake → Tableau, data latency tradeoffs, and standardizing reporting without losing client-specific nuance
● Drift, bias, and overfitting in marketing models—how RMG validates internally before shipping a model to clients
● The next frontier: insights-as-a-service, compliance headwinds, and balancing purpose with performance

Shout-out to RMG’s Edge page:
RMG published a dedicated page for Edge of Intelligence listeners, offering exclusive deals—including SmartPiXL website visitor intelligence and Bullseye 3D geo-framing (both listed at $25k for six months, regularly $30k) —plus a customer segmentation analysis offer ($ 5,500 one-time). Worth a look if you’re formalizing attribution and lifting ROAS.

Links:
● RMG “Edge” listener page: https://rmg-usa.com/edge/
● RMG site: https://rmg-usa.com
● Proteligen (host): https://proteligen.com

Chapters (suggested):
00:00 Intro
00:55 RMG origin & early modeling
04:18 Measuring ROAS across many channels
06:49 Data foundation & audience targeting
09:08 Where AI helps today
15:29 Data engineering & latency realities
18:01 Model validation, bias & drift
21:08 Scaling ops, tooling choices
27:11 Metrics that matter in tourism & beyond
29:34 What a Fractional CIO could tackle first
37:50 3–5 year outlook, compliance frontiers
40:22 Emerging tech that actually excites
42:08 Client expectations & near-real-time reads
46:31 Risks, constraints & talent
48:10 One piece of advice for insight-driven leaders
50:14 Where to learn more

If this helped:
Subscribe, share, and drop a comment on the one KPI that most changed how you invest your marketing dollars.

]]>9031d904-c3c4-4546-b438-cf10fb815277Wed, 20 May 2026 15:50:28 GMT<p>In this Edge of Intelligence episode, we delve beyond vanity metrics and discuss designing decision systems—how to transition from “pretty dashboards” to measurable business outcomes.<br /><br />Guest: Jim Harenchar, CEO of RMG (Response Marketing Group)<br />Host: Carl Owen — Fractional CIO &amp; AI Advisor, Proteligen<br /><br />What we cover:<br />● RMG’s evolution from direct-mail modeling to multi-channel, ROI-driven marketing<br />● Building and operating a 150M+ household data foundation with 350–400 attributes; segmentation that actually improves response and ROAS<br />● Where AI adds real value today: analyzing data at scale, faster model iteration, and near-real-time reads<br />● Tooling &amp; ops: Snowflake → Tableau, data latency tradeoffs, and standardizing reporting without losing client-specific nuance<br />● Drift, bias, and overfitting in marketing models—how RMG validates internally before shipping a model to clients<br />● The next frontier: insights-as-a-service, compliance headwinds, and balancing purpose with performance<br /><br />Shout-out to RMG’s Edge page:<br />RMG published a dedicated page for Edge of Intelligence listeners, offering exclusive deals—including SmartPiXL website visitor intelligence and Bullseye 3D geo-framing (both listed at $25k for six months, regularly $30k) —plus a customer segmentation analysis offer ($ 5,500 one-time). Worth a look if you’re formalizing attribution and lifting ROAS. <br /><br />Links:<br />● RMG “Edge” listener page: <a rel="noopener noreferrer nofollow" href="https://rmg-usa.com/edge/" target="_blank">https://rmg-usa.com/edge/</a> <br />● RMG site: <a rel="noopener noreferrer nofollow" href="https://rmg-usa.com" target="_blank">https://rmg-usa.com</a><br />● Proteligen (host): <a rel="noopener noreferrer nofollow" href="https://proteligen.com" target="_blank">https://proteligen.com</a><br /><br />Chapters (suggested):<br />00:00 Intro<br />00:55 RMG origin &amp; early modeling<br />04:18 Measuring ROAS across many channels<br />06:49 Data foundation &amp; audience targeting<br />09:08 Where AI helps today<br />15:29 Data engineering &amp; latency realities<br />18:01 Model validation, bias &amp; drift<br />21:08 Scaling ops, tooling choices<br />27:11 Metrics that matter in tourism &amp; beyond<br />29:34 What a Fractional CIO could tackle first<br />37:50 3–5 year outlook, compliance frontiers<br />40:22 Emerging tech that actually excites<br />42:08 Client expectations &amp; near-real-time reads<br />46:31 Risks, constraints &amp; talent<br />48:10 One piece of advice for insight-driven leaders<br />50:14 Where to learn more<br /><br />If this helped:<br />Subscribe, share, and drop a comment on the one KPI that most changed how you invest your marketing dollars.</p>no00:46:23Measuring What Matters: ROI-Driven Marketing at Scale with Jim Harenchar (RMG)full<![CDATA[Flipping the Script: Client-First Tech Buying & Pragmatic AI with Dean Gartelos]]>In this episode of Edge of Intelligence, host Carl Owen, Fractional CIO and AI Advisor at Proteligen, sits down with Dean Gartelos, Founder of WCS Tech and Senior Partner at OTG Consulting.

Dean shares his journey from corporate leadership to founding a consultancy that simplifies digital transformation by aligning technology decisions with real business outcomes. Together, Carl and Dean unpack what it means to be a true client advocate in a complex vendor-driven world — where strategy, infrastructure, and execution often clash.

They explore:

● How WCS Tech helps clients modernize legacy systems and manage technology investments without vendor bias
● The difference between true consulting and traditional managed services
● Why “simplifying the complex” is often the key to transformation
● How AI is reshaping service delivery and operations across industries
●What’s next for infrastructure-first firms as automation and data-driven solutions become mainstream

Dean also shares candid stories from the field — from saving clients months of negotiation and 30% in costs, to guiding leaders who rush into AI without understanding their data readiness.

🎧 Tune in to hear how real transformation happens between strategy, systems, and execution — and why the human layer still matters most.

OTG Consulting: https://otgconsulting.net
Connect with Dean: https://succeedwithdean.com

]]>87e18148-c690-45ec-a01b-29d730bb92cbWed, 20 May 2026 15:00:39 GMT<p>In this episode of Edge of Intelligence, host Carl Owen, Fractional CIO and AI Advisor at Proteligen, sits down with Dean Gartelos, Founder of WCS Tech and Senior Partner at OTG Consulting.<br /><br />Dean shares his journey from corporate leadership to founding a consultancy that simplifies digital transformation by aligning technology decisions with real business outcomes. Together, Carl and Dean unpack what it means to be a true client advocate in a complex vendor-driven world — where strategy, infrastructure, and execution often clash.<br /><br />They explore:<br /><br />● How WCS Tech helps clients modernize legacy systems and manage technology investments without vendor bias<br />● The difference between true consulting and traditional managed services<br />● Why “simplifying the complex” is often the key to transformation<br />● How AI is reshaping service delivery and operations across industries<br />●What’s next for infrastructure-first firms as automation and data-driven solutions become mainstream<br /><br />Dean also shares candid stories from the field — from saving clients months of negotiation and 30% in costs, to guiding leaders who rush into AI without understanding their data readiness.<br /><br />🎧 Tune in to hear how real transformation happens between strategy, systems, and execution — and why the human layer still matters most.<br /><br />OTG Consulting: <a rel="noopener noreferrer nofollow" href="https://otgconsulting.net" target="_blank">https://otgconsulting.net</a><br />Connect with Dean: <a rel="noopener noreferrer nofollow" href="https://succeedwithdean.com" target="_blank">https://succeedwithdean.com</a></p>no00:37:41Flipping the Script: Client-First Tech Buying & Pragmatic AI with Dean Gartelosfull<![CDATA[AI, Trust, and the Future of Financial Transparency with David Trainer of New Constructs]]>How do you trust the numbers? In this episode, David Trainer breaks down how New Constructs combines machine learning, NLP, and deep accounting expertise to reverse accounting distortions and surface the true economics of a business. We dig into their RoboAnalyst system, why ontology + taxonomy matter more than flashy models, and how a narrow, expert-defined data domain—what David calls a “small language model”—can power auditable, repeatable alpha. We also talk transparency (no black boxes), an ETF and indices that have outperformed the S&P 500, and New Constructs’ Google Cloud partnership to build an AI investing agent.

What you’ll learn:

● Why “garbage in, garbage out” still rules—and why data quality and footnotes are the edge
● How New Constructs structures filings (MD&A, footnotes, corporate actions) into an auditable knowledge graph
● The human-in-the-loop design: rules engines + auto-parsing for the easy stuff, experts on the exceptions
● Why transparency and auditability (not model secrecy) build institutional trust
● The case for domain-specific small language models vs “internet-sized” LLMs
● Thoughts on ESG (start with G—governance/ROIC), regulatory change, and error-proofing at scale
● Where this goes next: AI agents for fundamentals, technicals, sentiment, and potential expansions to global coverage and even political/healthcare integrity scoring

Chapters:

0:00 Intro & origin story (the “apples-to-apples” accounting problem)
2:40 Mission: improving the integrity of capital markets
5:14 Reversing accounting distortions (economics vs. accounting)
7:30 Inside RoboAnalyst: rules, NLP, and human validation
11:07 What differentiates New Constructs (methodology, transparency, alpha)
12:24 Why data plumbing beats model hype
13:32 “Small language models” for trusted finance AI
15:40 Training signals from MD&A & footnotes; seeding the rules
19:52 Data checks, model sanity, and exception handling
21:13 Automation vs. analysts: serving humans only the hard problems
25:18 Trade-offs (scale, capital) and the Google Cloud partnership
29:31 Building trust: 100% auditability, no black boxes
33:49 Guardrails against errors & overconfidence
36:41 Adoption challenges & Wall Street incentives (IPOs, “adjusted EBITDA”)
41:17 Accounting rule changes & disclosure shifts
42:47 Roadmap: agents, broader data, making markets boring (and better) again
47:05 What could threaten the edge; why the source dataset is the crown jewel
49:22 ESG, governance, and ROIC as the signal that matters
54:04 Moonshots & where this goes in 3–5 years
56:05 Wrap-up

]]>3ed9e1f5-03f8-46b7-8f68-fe07d0c723d4Tue, 19 May 2026 19:41:16 GMT<p>How do you trust the numbers? In this episode, David Trainer breaks down how New Constructs combines machine learning, NLP, and deep accounting expertise to reverse accounting distortions and surface the true economics of a business. We dig into their RoboAnalyst system, why ontology + taxonomy matter more than flashy models, and how a narrow, expert-defined data domain—what David calls a “small language model”—can power auditable, repeatable alpha. We also talk transparency (no black boxes), an ETF and indices that have outperformed the S&amp;P 500, and New Constructs’ Google Cloud partnership to build an AI investing agent.<br /><br />What you’ll learn:<br /><br />● Why “garbage in, garbage out” still rules—and why data quality and footnotes are the edge<br />● How New Constructs structures filings (MD&amp;A, footnotes, corporate actions) into an auditable knowledge graph<br />● The human-in-the-loop design: rules engines + auto-parsing for the easy stuff, experts on the exceptions<br />● Why transparency and auditability (not model secrecy) build institutional trust<br />● The case for domain-specific small language models vs “internet-sized” LLMs<br />● Thoughts on ESG (start with G—governance/ROIC), regulatory change, and error-proofing at scale<br />● Where this goes next: AI agents for fundamentals, technicals, sentiment, and potential expansions to global coverage and even political/healthcare integrity scoring<br /><br />Chapters:<br /><br />0:00 Intro &amp; origin story (the “apples-to-apples” accounting problem)<br />2:40 Mission: improving the integrity of capital markets<br />5:14 Reversing accounting distortions (economics vs. accounting)<br />7:30 Inside RoboAnalyst: rules, NLP, and human validation<br />11:07 What differentiates New Constructs (methodology, transparency, alpha)<br />12:24 Why data plumbing beats model hype<br />13:32 “Small language models” for trusted finance AI<br />15:40 Training signals from MD&amp;A &amp; footnotes; seeding the rules<br />19:52 Data checks, model sanity, and exception handling<br />21:13 Automation vs. analysts: serving humans only the hard problems<br />25:18 Trade-offs (scale, capital) and the Google Cloud partnership<br />29:31 Building trust: 100% auditability, no black boxes<br />33:49 Guardrails against errors &amp; overconfidence<br />36:41 Adoption challenges &amp; Wall Street incentives (IPOs, “adjusted EBITDA”)<br />41:17 Accounting rule changes &amp; disclosure shifts<br />42:47 Roadmap: agents, broader data, making markets boring (and better) again<br />47:05 What could threaten the edge; why the source dataset is the crown jewel<br />49:22 ESG, governance, and ROIC as the signal that matters<br />54:04 Moonshots &amp; where this goes in 3–5 years<br />56:05 Wrap-up</p>no00:51:20AI, Trust, and the Future of Financial Transparency with David Trainer of New Constructsfull<![CDATA[AI vs. Misdiagnosis: Dr. Steven Charlap on Building Medome.ai to Prevent Disease Before It Strikes]]>In this episode of Edge of Intelligence, host Carl Owen, Fractional CIO and AI Advisor at Proteligen, sits down with Dr. Steven Charlap, physician, entrepreneur, and CEO of Medome.ai — a precision health platform using AI to detect disease risk before it’s too late.

After losing his brother to a preventable misdiagnosis, Dr. Charlap devoted a decade to studying how medicine fails to catch disease early — and how AI can help fix it. Medome.ai represents a new frontier in personal health: an AI-powered medical expert in your pocket that helps patients and doctors ask better questions, avoid diagnostic errors, and make healthcare more accessible, accurate, and affordable.

🎙️ In this conversation:

● The tragedy and motivation behind Medome.ai

● How AI can augment (not replace) clinicians

● Why diagnostic accuracy fails — and how to fix it

● Challenges of trust, bias, and validation in medical AI

● The road to truly preventative, personalized care

● The future of “DIY medicine” and digital diagnosis

💡 Whether you’re in healthcare, AI, or tech innovation, this episode explores how machine intelligence and human empathy can reshape medicine’s most human problem — misdiagnosis.

👉 Subscribe to Edge of Intelligence for more conversations at the intersection of AI, automation, and human insight.

]]>431d3530-6e08-4bac-9bdc-92212ba7a902Tue, 19 May 2026 19:37:14 GMT<p>In this episode of Edge of Intelligence, host Carl Owen, Fractional CIO and AI Advisor at Proteligen, sits down with Dr. Steven Charlap, physician, entrepreneur, and CEO of <a rel="noopener noreferrer nofollow" href="http://Medome.ai" target="_blank">Medome.ai</a> — a precision health platform using AI to detect disease risk before it’s too late.<br /><br />After losing his brother to a preventable misdiagnosis, Dr. Charlap devoted a decade to studying how medicine fails to catch disease early — and how AI can help fix it. <a rel="noopener noreferrer nofollow" href="http://Medome.ai" target="_blank">Medome.ai</a> represents a new frontier in personal health: an AI-powered medical expert in your pocket that helps patients and doctors ask better questions, avoid diagnostic errors, and make healthcare more accessible, accurate, and affordable.<br /><br />🎙️ In this conversation:<br /><br />● The tragedy and motivation behind <a rel="noopener noreferrer nofollow" href="http://Medome.ai" target="_blank">Medome.ai</a><br /><br />● How AI can augment (not replace) clinicians<br /><br />● Why diagnostic accuracy fails — and how to fix it<br /><br />● Challenges of trust, bias, and validation in medical AI<br /><br />● The road to truly preventative, personalized care<br /><br />● The future of “DIY medicine” and digital diagnosis<br /><br />💡 Whether you’re in healthcare, AI, or tech innovation, this episode explores how machine intelligence and human empathy can reshape medicine’s most human problem — misdiagnosis.<br /><br />👉 Subscribe to Edge of Intelligence for more conversations at the intersection of AI, automation, and human insight.</p>no00:54:40AI vs. Misdiagnosis: Dr. Steven Charlap on Building Medome.ai to Prevent Disease Before It Strikesfull<![CDATA[Modernizing Financial Services: James Mills on Tech, Trust & the Future of Advisors]]>In this episode of Edge of Intelligence, host Carl Owen sits down with James Mills, Brokerage Director at Brokerage Solutions, to explore how financial services firms can balance tradition with transformation.

James shares candid insights on:

● Why so many firms are still running on outdated systems—and how to fix it
● The three keys to advisor growth: tech enablement, holistic planning, and engaging the next generation
● How AI and automation are reshaping prospecting, compliance, and practice management
● The tension between fee-only planning, insurance products, and the human element of wealth management
● Practical strategies for scaling efficiency while preserving client trust in a highly regulated industry

Whether you’re an advisor, financial professional, or leader looking to modernize operations without losing the personal touch, this conversation is packed with actionable takeaways.

👉 Learn more about James Mills and Brokerage Solutions: https://brokeragesolutions.com
👉 Connect with Carl Owen and Proteligen: https://proteligen.com

Edge of Intelligence is a podcast where strategy meets smarter systems. Subscribe for more conversations at the intersection of AI, automation, and digital transformation.

]]>7cf5e952-166c-4b7d-9749-7de1eb7883bcTue, 19 May 2026 19:33:00 GMT<p>In this episode of Edge of Intelligence, host Carl Owen sits down with James Mills, Brokerage Director at Brokerage Solutions, to explore how financial services firms can balance tradition with transformation.<br /><br />James shares candid insights on:<br /><br />● Why so many firms are still running on outdated systems—and how to fix it<br />● The three keys to advisor growth: tech enablement, holistic planning, and engaging the next generation<br />● How AI and automation are reshaping prospecting, compliance, and practice management<br />● The tension between fee-only planning, insurance products, and the human element of wealth management<br />● Practical strategies for scaling efficiency while preserving client trust in a highly regulated industry<br /><br />Whether you’re an advisor, financial professional, or leader looking to modernize operations without losing the personal touch, this conversation is packed with actionable takeaways.<br /><br />👉 Learn more about James Mills and Brokerage Solutions: <a rel="noopener noreferrer nofollow" href="https://brokeragesolutions.com" target="_blank">https://brokeragesolutions.com</a><br />👉 Connect with Carl Owen and Proteligen: <a rel="noopener noreferrer nofollow" href="https://proteligen.com" target="_blank">https://proteligen.com</a><br /><br />Edge of Intelligence is a podcast where strategy meets smarter systems. Subscribe for more conversations at the intersection of AI, automation, and digital transformation.</p>no00:41:22Modernizing Financial Services: James Mills on Tech, Trust & the Future of Advisorsfull<![CDATA[From Audits to AI Agents: How Omadli Group Turns Construction Ops into AI-Ready Systems]]>In this episode of Edge of Intelligence, Carl Owen talks with Zulfiya Forsythe, Founder & CEO of Omadli Group, about taking AI from buzzword to business value—especially in construction and trade services.

We cover:
AI audit → outcomes: how Omadli identifies real bottlenecks (missed calls, manual triage, siloed data, slow billing QA/QC) before choosing tools.

Vicky (voice AI receptionist): intelligent call capture, routing to the right person, and structured updates into Slack/CRMs—so jobs get scheduled and crews move faster.

FarmOn (knowledge agent): putting submittals, OSHA safety, SOPs, and training at crews’ fingertips; search across 1,000+ files in seconds.

Data & dashboards: getting beyond Excel exports to reliable BI models across jobs, revenue, and marketing performance.

Readiness & governance: SOPs, accuracy thresholds, audit logs, human-in-the-loop review, and hosted model choices—so AI is trustworthy and compliant.

What’s next: agents talking to agents—and why human relationships will matter even more for go-to-market and trust.

If this sparked ideas about automation, analytics, or AI readiness in your operation, connect with Carl on LinkedIn or visit Proteligen.com.

]]>ec516f15-3d95-497e-9219-fbb5f4c3ed0eTue, 19 May 2026 19:26:11 GMT<p>In this episode of Edge of Intelligence, Carl Owen talks with Zulfiya Forsythe, Founder &amp; CEO of Omadli Group, about taking AI from buzzword to business value—especially in construction and trade services.<br /><br />We cover:<br />AI audit → outcomes: how Omadli identifies real bottlenecks (missed calls, manual triage, siloed data, slow billing QA/QC) before choosing tools.<br /><br />Vicky (voice AI receptionist): intelligent call capture, routing to the right person, and structured updates into Slack/CRMs—so jobs get scheduled and crews move faster.<br /><br />FarmOn (knowledge agent): putting submittals, OSHA safety, SOPs, and training at crews’ fingertips; search across 1,000+ files in seconds.<br /><br />Data &amp; dashboards: getting beyond Excel exports to reliable BI models across jobs, revenue, and marketing performance.<br /><br />Readiness &amp; governance: SOPs, accuracy thresholds, audit logs, human-in-the-loop review, and hosted model choices—so AI is trustworthy and compliant.<br /><br />What’s next: agents talking to agents—and why human relationships will matter even more for go-to-market and trust.<br /><br />If this sparked ideas about automation, analytics, or AI readiness in your operation, connect with Carl on LinkedIn or visit <a rel="noopener noreferrer nofollow" href="http://Proteligen.com" target="_blank">Proteligen.com</a>.</p>no00:42:02From Audits to AI Agents: How Omadli Group Turns Construction Ops into AI-Ready Systemsfull<![CDATA[Solving Hard Problems: Cybersecurity, AI & the Future of Practical Security with David Hyde-Volpe]]>In this episode of Edge of Intelligence, we dive deep into the intersection of cybersecurity, automation, and AI adoption with David Hyde-Volpe, CTO of Vizius, a consultancy known for solving the hardest problems in security.

From his roots in theoretical chemistry to leading enterprise-grade assessments and remediation, David shares how his team tackles compliance, threat detection, and AI-enabled service delivery — all without losing sight of the business mission.

🛡️ Topics covered include:

➤ Vizius’ origin story: from rollups to remediation

➤ Why "security is a service to the business"

➤ Real-world pen test and ITAR compliance use cases

➤ What most orgs get wrong about MFA and conditional access

➤ Man-in-the-middle phishing attacks that bypass MFA

➤ Why AI-assisted automation (not AI replacement) is the future

➤ How LLMs are quietly reshaping security operations

➤ Thoughts on EOS, company maturity, and scaling with intention

🎯 Whether you're a CIO, CISO, or MSP leader—this episode delivers pragmatic clarity in a noisy market.

👉 Connect with Vizius: vizius.com

]]>7871b792-c484-4699-bb46-ac81584af51eTue, 19 May 2026 19:22:05 GMT<p>In this episode of Edge of Intelligence, we dive deep into the intersection of cybersecurity, automation, and AI adoption with David Hyde-Volpe, CTO of Vizius, a consultancy known for solving the hardest problems in security.<br /><br />From his roots in theoretical chemistry to leading enterprise-grade assessments and remediation, David shares how his team tackles compliance, threat detection, and AI-enabled service delivery — all without losing sight of the business mission.<br /><br />🛡️ Topics covered include:<br /><br />➤ Vizius’ origin story: from rollups to remediation<br /><br />➤ Why "security is a service to the business"<br /><br />➤ Real-world pen test and ITAR compliance use cases<br /><br />➤ What most orgs get wrong about MFA and conditional access<br /><br />➤ Man-in-the-middle phishing attacks that bypass MFA<br /><br />➤ Why AI-assisted automation (not AI replacement) is the future<br /><br />➤ How LLMs are quietly reshaping security operations<br /><br />➤ Thoughts on EOS, company maturity, and scaling with intention<br /><br />🎯 Whether you're a CIO, CISO, or MSP leader—this episode delivers pragmatic clarity in a noisy market.<br /><br />👉 Connect with Vizius: <a rel="noopener noreferrer nofollow" href="http://vizius.com" target="_blank">vizius.com</a></p>no00:57:48Solving Hard Problems: Cybersecurity, AI & the Future of Practical Security with David Hyde-Volpefull<![CDATA[Derek Wayland: Fixing the Data Plumbing of Healthcare with Automation, AI, and Strategy]]>In healthcare, data that doesn't move is data that doesn't help.
In this episode of Edge of Intelligence, I sit down with Derek Wayland, VP of IT & Security at Zen Healthcare IT, to talk about the hidden infrastructure powering nationwide interoperability.

We unpack how Zen helps providers, HIEs, and public health systems plug into national networks like Carequality and eHealth Exchange, while maintaining HITRUST CSF R2 compliance and moving toward OAuth/JWT-based secure connectivity.

But that’s just the start.

Derek pulls back the curtain on how he's using AI to automate vulnerability triage, risk assessments, and compliance workflows—saving thousands of hours annually while keeping humans in the loop.

📌 Key topics we cover:

✓ Why Zen doesn’t “store” healthcare data—just pipes it securely

✓ How national network onboarding can be streamlined using Stargate

✓ The future of connectivity: Moving beyond VPN and mTLS

✓ Real AI in action: Gap analysis, policy creation, vuln triage, and audit support

✓ Building a scalable, cloud-agnostic health data platform

✓ Why decentralized, patient-queried health records are the next frontier

🎧 If you're building, buying, or securing healthcare data infrastructure—this is the conversation you want to hear.

🔗 Learn more at zenhealthcareit.com

]]>d0dd11a4-8ab4-4b24-8618-9022d4dd376dTue, 19 May 2026 16:49:49 GMT<p>In healthcare, data that doesn't move is data that doesn't help.<br />In this episode of Edge of Intelligence, I sit down with Derek Wayland, VP of IT &amp; Security at Zen Healthcare IT, to talk about the hidden infrastructure powering nationwide interoperability.<br /><br />We unpack how Zen helps providers, HIEs, and public health systems plug into national networks like Carequality and eHealth Exchange, while maintaining HITRUST CSF R2 compliance and moving toward OAuth/JWT-based secure connectivity.<br /><br />But that’s just the start.<br /><br />Derek pulls back the curtain on how he's using AI to automate vulnerability triage, risk assessments, and compliance workflows—saving thousands of hours annually while keeping humans in the loop.<br /><br />📌 Key topics we cover:<br /><br />✓ Why Zen doesn’t “store” healthcare data—just pipes it securely<br /><br />✓ How national network onboarding can be streamlined using Stargate<br /><br />✓ The future of connectivity: Moving beyond VPN and mTLS<br /><br />✓ Real AI in action: Gap analysis, policy creation, vuln triage, and audit support<br /><br />✓ Building a scalable, cloud-agnostic health data platform<br /><br />✓ Why decentralized, patient-queried health records are the next frontier<br /><br />🎧 If you're building, buying, or securing healthcare data infrastructure—this is the conversation you want to hear.<br /><br />🔗 Learn more at <a rel="noopener noreferrer nofollow" href="http://zenhealthcareit.com" target="_blank">zenhealthcareit.com</a></p>no00:45:01Derek Wayland: Fixing the Data Plumbing of Healthcare with Automation, AI, and Strategyfull<![CDATA[Veterans, Vision, and Velocity: How Cadence Coalition Is Modernizing GovCon with Mission-Driven AI]]>In this episode of Edge of Intelligence, host Carl Owen sits down with Shandi Perkins — U.S. Army veteran, founder & CEO of Cadence Coalition, and driving force behind Coalition 360.

Shandi shares her remarkable journey from military service and human intelligence operations to leading a fast-growing, service-disabled veteran-owned small business serving the Department of Defense. She opens up about:

● Building a mission-driven culture in government contracting

● Leveraging AI and automation to transform program management

● The SkillBridge program and her unique approach to veteran reintegration

● Launching Coalition 360, a FedRAMP-ready SaaS platform built for cleared federal teams

● The challenges and opportunities in attracting the next generation of cleared talent

Whether you’re in defense, technology, or leadership, this conversation offers a candid look at innovation, culture, and mission execution in one of the most demanding industries.

Learn more:
Cadence Coalition – https://www.cadencecoalition.com
Coalition 360 – https://www.coalition360.ai

]]>ddd8a679-bd0f-4c98-b2d3-27487e0baebdTue, 19 May 2026 16:45:37 GMT<p>In this episode of Edge of Intelligence, host Carl Owen sits down with Shandi Perkins — U.S. Army veteran, founder &amp; CEO of Cadence Coalition, and driving force behind Coalition 360.<br /><br />Shandi shares her remarkable journey from military service and human intelligence operations to leading a fast-growing, service-disabled veteran-owned small business serving the Department of Defense. She opens up about:<br /><br />● Building a mission-driven culture in government contracting<br /><br />● Leveraging AI and automation to transform program management<br /><br />● The SkillBridge program and her unique approach to veteran reintegration<br /><br />● Launching Coalition 360, a FedRAMP-ready SaaS platform built for cleared federal teams<br /><br />● The challenges and opportunities in attracting the next generation of cleared talent<br /><br />Whether you’re in defense, technology, or leadership, this conversation offers a candid look at innovation, culture, and mission execution in one of the most demanding industries.<br /><br />Learn more:<br />Cadence Coalition – <a rel="noopener noreferrer nofollow" href="https://www.cadencecoalition.com" target="_blank">https://www.cadencecoalition.com</a><br />Coalition 360 – <a rel="noopener noreferrer nofollow" href="https://www.coalition360.ai" target="_blank">https://www.coalition360.ai</a></p>no00:36:35Veterans, Vision, and Velocity: How Cadence Coalition Is Modernizing GovCon with Mission-Driven AIfull<![CDATA[Scaling Purpose in EdTech: Ryan Ross on AI, Access & Impact]]>In this episode of Edge of Intelligence, host Carl Owen welcomes Ryan Ross — CEO of Olivia — for an eye-opening conversation on how equitable access, teacher-first design, and edge computing are redefining digital learning at scale.

From rural districts in Texas to nationwide education networks in Africa and Latin America, Olivia is transforming how students engage with digital resources — even without reliable broadband. But this isn’t just about infrastructure. It’s about empowering educators, rethinking user adoption, and using AI in ways that are intentional, secure, and grounded in real classroom need.

🎙 Topics covered:

● The broadband equity gap and how Olivia solves it with edge architecture
● The behavioral science behind “teacher-first” adoption
● Why Ryan believes AI’s biggest opportunity in education isn’t generative content
● Building scalable infrastructure that works in low-connectivity environments
● How AI is used for real-time diagnostics, content utilization, and adaptive feedback
● Olivia’s mission to unify national education networks with simplicity at scale

🔗 Learn more about Olivia: https://olivia.schools

]]>97d3c457-a564-4be4-bcb0-355702b90ad0Tue, 19 May 2026 15:45:33 GMT<p>In this episode of Edge of Intelligence, host Carl Owen welcomes Ryan Ross — CEO of Olivia — for an eye-opening conversation on how equitable access, teacher-first design, and edge computing are redefining digital learning at scale.<br /><br />From rural districts in Texas to nationwide education networks in Africa and Latin America, Olivia is transforming how students engage with digital resources — even without reliable broadband. But this isn’t just about infrastructure. It’s about empowering educators, rethinking user adoption, and using AI in ways that are intentional, secure, and grounded in real classroom need.<br /><br />🎙 Topics covered:<br /><br />● The broadband equity gap and how Olivia solves it with edge architecture<br />● The behavioral science behind “teacher-first” adoption<br />● Why Ryan believes AI’s biggest opportunity in education isn’t generative content<br />● Building scalable infrastructure that works in low-connectivity environments<br />● How AI is used for real-time diagnostics, content utilization, and adaptive feedback<br />● Olivia’s mission to unify national education networks with simplicity at scale<br /><br />🔗 Learn more about Olivia: <a rel="noopener noreferrer nofollow" href="https://olivia.schools" target="_blank">https://olivia.schools</a></p>no00:39:37Scaling Purpose in EdTech: Ryan Ross on AI, Access & Impactfull<![CDATA[From Scalpel to Silicon: How Galen Health Is Revolutionizing Cancer Care with AI]]>In this episode of Edge of Intelligence, host Carl Owen sits down with Dr. Logan Nye — physician, computer scientist, and founder of Galen Health — to explore how conversational AI is transforming cancer care. Logan shares his journey from orthopedic surgery to founding a healthtech startup at the intersection of clinical practice and machine intelligence.

🎙️ Topics covered include:

✓ How Galen Health is using AI to streamline tumor board workflows

✓ Insights from building AI agents that automate medical data collection and synthesis

✓ Challenges in adoption, clinical trust, and healthcare infrastructure

✓ Why early wins in workflow automation are key to long-term AI success in medicine

✓ A vision for precision oncology powered by explainable, graph-based reasoning

If you're working in healthcare AI, clinical systems integration, or just interested in what’s next for medical innovation—this is one you don’t want to miss.

🔗 Learn more at: https://galenhealth.org

]]>3bd840e6-20e4-4c22-b33f-f4b62710f5aaTue, 19 May 2026 15:41:40 GMT<p>In this episode of Edge of Intelligence, host Carl Owen sits down with Dr. Logan Nye — physician, computer scientist, and founder of Galen Health — to explore how conversational AI is transforming cancer care. Logan shares his journey from orthopedic surgery to founding a healthtech startup at the intersection of clinical practice and machine intelligence.<br /><br />🎙️ Topics covered include:<br /><br />✓ How Galen Health is using AI to streamline tumor board workflows<br /><br />✓ Insights from building AI agents that automate medical data collection and synthesis<br /><br />✓ Challenges in adoption, clinical trust, and healthcare infrastructure<br /><br />✓ Why early wins in workflow automation are key to long-term AI success in medicine<br /><br />✓ A vision for precision oncology powered by explainable, graph-based reasoning<br /><br />If you're working in healthcare AI, clinical systems integration, or just interested in what’s next for medical innovation—this is one you don’t want to miss.<br /><br />🔗 Learn more at: <a rel="noopener noreferrer nofollow" href="https://galenhealth.org" target="_blank">https://galenhealth.org</a></p>no00:37:14From Scalpel to Silicon: How Galen Health Is Revolutionizing Cancer Care with AIfull<![CDATA[Inside the Modern SOC: Chris Rock on Cutting Through AI Hype and Scaling with Precision]]>In this episode of Edge of Intelligence, host Carl Owen sits down with cybersecurity pioneer Chris Rock, co-founder of Siemonster, to explore how AI, automation, and real-world SOC operations are evolving at the edge of modern security.

Chris shares his journey from blue team banking roles to global red teaming and ultimately building a modular, open-core SIEM platform trusted by governments, MSSPs, and enterprises worldwide. We dig into:

- How red team thinking transformed his approach to security architecture

- Why bolt-on security stacks are failing modern MSSPs

- The operational math behind SOC scaling (and staff fatigue)

- What agentic AI can and can’t do in 2025

- Where Siemonster is pushing next, from phishing automation to predictive defense

Chris doesn’t hold back—expect sharp takes, battle-tested insights, and a candid look at the future of security ops.

💡 Learn more at https://siemonster.com
🌐 For AI + security advisory: https://proteligen.com

🎧 Subscribe for more AI strategy & intelligent systems insight.

]]>be13125b-51dc-4709-b691-d97d57b23485Tue, 19 May 2026 15:33:34 GMT<p>In this episode of Edge of Intelligence, host Carl Owen sits down with cybersecurity pioneer Chris Rock, co-founder of Siemonster, to explore how AI, automation, and real-world SOC operations are evolving at the edge of modern security.<br /><br />Chris shares his journey from blue team banking roles to global red teaming and ultimately building a modular, open-core SIEM platform trusted by governments, MSSPs, and enterprises worldwide. We dig into:<br /><br />- How red team thinking transformed his approach to security architecture<br /><br />- Why bolt-on security stacks are failing modern MSSPs<br /><br />- The operational math behind SOC scaling (and staff fatigue)<br /><br />- What agentic AI can and can’t do in 2025<br /><br />- Where Siemonster is pushing next, from phishing automation to predictive defense<br /><br />Chris doesn’t hold back—expect sharp takes, battle-tested insights, and a candid look at the future of security ops.<br /><br />💡 Learn more at <a rel="noopener noreferrer nofollow" href="https://siemonster.com" target="_blank">https://siemonster.com</a><br />🌐 For AI + security advisory: <a rel="noopener noreferrer nofollow" href="https://proteligen.com" target="_blank">https://proteligen.com</a><br /><br />🎧 Subscribe for more AI strategy &amp; intelligent systems insight.</p>no00:44:50Inside the Modern SOC: Chris Rock on Cutting Through AI Hype and Scaling with Precisionfull<![CDATA[Scott Stout: Decentralizing Clinical Trials and Rewiring Access to Innovation]]>In this episode of Edge of Intelligence, host Carl Owen sits down with Scott Stout, CEO of MedVector, to explore how clinical trials are being radically reimagined using telemedicine and AI.

Scott shares the deeply personal story that inspired MedVector’s mission, explains why most clinical trials fail to recruit the right patients, and offers a bold vision for decentralized research that’s faster, more inclusive, and far more effective.

We dive into:

- Why 90% of clinical trial delays are caused by patient recruitment—and how MedVector fixes that

- The Catch-22 between HIPAA and the FDA that stalls innovation

- How decentralized trials open doors for rural, urban, and underserved communities

- Why pharma’s culture of fear is stifling innovation—and what needs to change

- The real impact of AI: speeding protocol reviews, trial logistics, and opportunity matching

📌 Whether you’re in life sciences, digital health, or AI strategy, this conversation will challenge how you think about patient data, research pipelines, and the future of precision medicine.

🔗 Learn more at MedVector.com
🧠 For strategy and advisory support: Proteligen.com

]]>03a42f20-67e9-4364-82cb-5abdc69816c1Tue, 19 May 2026 15:26:38 GMT<p>In this episode of Edge of Intelligence, host Carl Owen sits down with Scott Stout, CEO of MedVector, to explore how clinical trials are being radically reimagined using telemedicine and AI.<br /><br />Scott shares the deeply personal story that inspired MedVector’s mission, explains why most clinical trials fail to recruit the right patients, and offers a bold vision for decentralized research that’s faster, more inclusive, and far more effective.<br /><br />We dive into:<br /><br />- Why 90% of clinical trial delays are caused by patient recruitment—and how MedVector fixes that<br /><br />- The Catch-22 between HIPAA and the FDA that stalls innovation<br /><br />- How decentralized trials open doors for rural, urban, and underserved communities<br /><br />- Why pharma’s culture of fear is stifling innovation—and what needs to change<br /><br />- The real impact of AI: speeding protocol reviews, trial logistics, and opportunity matching<br /><br />📌 Whether you’re in life sciences, digital health, or AI strategy, this conversation will challenge how you think about patient data, research pipelines, and the future of precision medicine.<br /><br />🔗 Learn more at <a rel="noopener noreferrer nofollow" href="http://MedVector.com" target="_blank">MedVector.com</a><br />🧠 For strategy and advisory support: <a rel="noopener noreferrer nofollow" href="http://Proteligen.com" target="_blank">Proteligen.com</a></p>no00:43:19Scott Stout: Decentralizing Clinical Trials and Rewiring Access to Innovationfull<![CDATA[Olusola Akinsulere: Building AI for Africa’s Fragmented Retail Future]]>In this episode of Edge of Intelligence, Carl Owen sits down with Olusola Akinsulere, CTO and co-founder of Retail Loop and their new platform Leahai, to explore how AI and data intelligence are transforming Africa’s retail landscape—from mom-and-pop shops to enterprise operations.

Olusola shares the origin story of Retail Loop, lessons learned navigating Nigeria’s fragmented retail infrastructure, and how his team is building AI-powered tools for inventory forecasting, customer engagement, and decision automation.

🔍 Topics Covered:

- The unique data challenges in African markets

- Building inventory and analytics tools for SMEs

- Using AI to forecast demand and automate decisions

- Balancing human insight with algorithmic support

- Opportunities for scaling in fragmented, multilingual regions

- The critical role of mindset in digital transformation

Whether you're thinking about applying AI in emerging markets, modernizing retail workflows, or scaling intelligence into hard-to-reach verticals, this conversation is full of grounded insight and strategic clarity.

📌 Learn more about Retail Loop: https://retailloop.co or their new platform https://leahai.co
📌 Connect with Carl Owen at Proteligen: https://proteligen.com

🔗 Like, comment, and subscribe to stay at the Edge of Intelligence — where strategy meets execution.

]]>14a66744-d271-4492-9ea4-52b5f3396294Tue, 19 May 2026 15:22:21 GMT<p>In this episode of Edge of Intelligence, Carl Owen sits down with Olusola Akinsulere, CTO and co-founder of Retail Loop and their new platform Leahai, to explore how AI and data intelligence are transforming Africa’s retail landscape—from mom-and-pop shops to enterprise operations.<br /><br />Olusola shares the origin story of Retail Loop, lessons learned navigating Nigeria’s fragmented retail infrastructure, and how his team is building AI-powered tools for inventory forecasting, customer engagement, and decision automation.<br /><br />🔍 Topics Covered:<br /><br />- The unique data challenges in African markets<br /><br />- Building inventory and analytics tools for SMEs<br /><br />- Using AI to forecast demand and automate decisions<br /><br />- Balancing human insight with algorithmic support<br /><br />- Opportunities for scaling in fragmented, multilingual regions<br /><br />- The critical role of mindset in digital transformation<br /><br />Whether you're thinking about applying AI in emerging markets, modernizing retail workflows, or scaling intelligence into hard-to-reach verticals, this conversation is full of grounded insight and strategic clarity.<br /><br />📌 Learn more about Retail Loop: <a rel="noopener noreferrer nofollow" href="https://retailloop.co" target="_blank">https://retailloop.co</a> or their new platform <a rel="noopener noreferrer nofollow" href="https://leahai.co" target="_blank">https://leahai.co</a><br />📌 Connect with Carl Owen at Proteligen: <a rel="noopener noreferrer nofollow" href="https://proteligen.com" target="_blank">https://proteligen.com</a><br /><br />🔗 Like, comment, and subscribe to stay at the Edge of Intelligence — where strategy meets execution.</p>no00:45:58Olusola Akinsulere: Building AI for Africa’s Fragmented Retail Futurefull<![CDATA[From Meter to Market: How EnergyPrint Turns Utility Data into Strategic Value]]>In this episode of Edge of Intelligence, Carl Owen sits down with Wade Smith, CEO of EnergyPrint, a leader in cloud-based energy intelligence and utility data automation. With a background in engineering and HVAC controls, Wade shares how EnergyPrint helps organizations slash energy costs, improve ESG reporting, and unlock real ROI—often in under 10 days.

We explore:
⚡ How utility billing data becomes a high-precision analytics engine
📊 Why AI and OCR are changing the game for utility invoice processing
🏢 What it takes to scale across 6,800+ buildings and 3,000+ utility formats
🚀 EnergyPrint’s inVoyage platform and its journey to Six Sigma accuracy
💡 The real-world challenges of compliance, benchmarking, and greenwashing

Whether you're in facilities, finance, ESG reporting, or looking to make smarter energy decisions, this episode delivers pragmatic innovation and actionable insight.

🔗 Learn more: energyprint.com

]]>3d4fee2c-4a23-414f-9bae-e29e8c11002fTue, 19 May 2026 15:17:43 GMT<p>In this episode of Edge of Intelligence, Carl Owen sits down with Wade Smith, CEO of EnergyPrint, a leader in cloud-based energy intelligence and utility data automation. With a background in engineering and HVAC controls, Wade shares how EnergyPrint helps organizations slash energy costs, improve ESG reporting, and unlock real ROI—often in under 10 days.<br /><br />We explore:<br />⚡ How utility billing data becomes a high-precision analytics engine<br />📊 Why AI and OCR are changing the game for utility invoice processing<br />🏢 What it takes to scale across 6,800+ buildings and 3,000+ utility formats<br />🚀 EnergyPrint’s inVoyage platform and its journey to Six Sigma accuracy<br />💡 The real-world challenges of compliance, benchmarking, and greenwashing<br /><br />Whether you're in facilities, finance, ESG reporting, or looking to make smarter energy decisions, this episode delivers pragmatic innovation and actionable insight.<br /><br />🔗 Learn more: <a rel="noopener noreferrer nofollow" href="http://energyprint.com" target="_blank">energyprint.com</a></p>no00:55:56From Meter to Market: How EnergyPrint Turns Utility Data into Strategic Valuefull<![CDATA[Julia Komissarchik: Cleaning PHI to Unlock the Future of Ethical AI in Healthcare]]>In this episode of Edge of Intelligence, we dive into one of the most critical barriers to innovation in healthcare: how to ethically and securely unlock medical data for AI development.

Our guest, Julia Komissarchik, is the founder and CEO of Glendor, a platform purpose-built to sanitize Protected Health Information (PHI) from complex medical data—including voice, image, and text—while preserving its clinical value for research and innovation.

We explore:
- Why de-identification is the missing piece in scaling ethical healthcare AI
- How Glendor’s “folder in, folder out” model keeps PHI protected—without data ever leaving the customer’s site
- What makes healthcare data so hard to standardize—and why it matters for AI performance
- Whether generative AI tools like ChatGPT belong in healthcare workflows
- Why democratizing access to diverse patient data is essential to reducing bias in medical AI models

Julia shares candid insights from working with hospitals, labs, and pharma organizations—and offers a pragmatic take on what privacy-first AI really means in practice.

If you’re navigating AI implementation in healthcare, compliance challenges, or the risks of data drift and model bias—this episode is for you.

📌 Learn more about Glendor: https://glendor.com
📌 Learn more about Proteligen: https://proteligen.com

🔔 Don’t forget to like, subscribe, and turn on notifications to stay at the Edge of Intelligence.

]]>47f85a5f-cfe1-47b1-a94f-d675e4559743Tue, 19 May 2026 15:11:26 GMT<p>In this episode of Edge of Intelligence, we dive into one of the most critical barriers to innovation in healthcare: how to ethically and securely unlock medical data for AI development.<br /><br />Our guest, Julia Komissarchik, is the founder and CEO of Glendor, a platform purpose-built to sanitize Protected Health Information (PHI) from complex medical data—including voice, image, and text—while preserving its clinical value for research and innovation.<br /><br />We explore:<br />- Why de-identification is the missing piece in scaling ethical healthcare AI<br />- How Glendor’s “folder in, folder out” model keeps PHI protected—without data ever leaving the customer’s site<br />- What makes healthcare data so hard to standardize—and why it matters for AI performance<br />- Whether generative AI tools like ChatGPT belong in healthcare workflows<br />- Why democratizing access to diverse patient data is essential to reducing bias in medical AI models<br /><br />Julia shares candid insights from working with hospitals, labs, and pharma organizations—and offers a pragmatic take on what privacy-first AI really means in practice.<br /><br />If you’re navigating AI implementation in healthcare, compliance challenges, or the risks of data drift and model bias—this episode is for you.<br /><br />📌 Learn more about Glendor: <a rel="noopener noreferrer nofollow" href="https://glendor.com" target="_blank">https://glendor.com</a><br />📌 Learn more about Proteligen: <a rel="noopener noreferrer nofollow" href="https://proteligen.com" target="_blank">https://proteligen.com</a><br /><br />🔔 Don’t forget to like, subscribe, and turn on notifications to stay at the Edge of Intelligence.</p>no00:31:30Julia Komissarchik: Cleaning PHI to Unlock the Future of Ethical AI in Healthcarefull<![CDATA[Marc Kerrest: Real-Time Sports Intelligence at the Edge of Performance]]>In this episode of Edge of Intelligence, Carl Owen sits down with Marc Kerrest, CEO and Founder of GPS DataViz, to explore how real-time, AI-powered insights are transforming the way elite sports teams manage performance, reduce injury risk, and unlock competitive advantage.

Marc shares his journey from financial markets to sports tech, building a platform that delivers machine learning–driven insights in under 60 seconds—helping coaches and practitioners act faster, smarter, and with greater confidence.

🎯 Topics we cover:

- Turning GPS, heart rate, and force plate data into real-time decisions
- Using predictive models for fatigue forecasting and injury prevention
- Automating manual workflows and building trust in AI recommendations
- Expanding into new verticals: from pro teams to high school and beyond
- How AI is shaping performance strategy—and why the best data tools stay invisible

Whether you’re in sports performance, healthcare, or leading digital transformation, this conversation is full of lessons on how to bring intelligence to the edge of action.

📍 Learn more at: https://www.gpsdataviz.com
📩 Connect with Marc: marc.kerrest@gpsdataviz.com
🌐 Learn more about Carl & Proteligen: https://www.proteligen.com

Don’t forget to like, subscribe, and stay on the edge of intelligence.

]]>ec7ca683-d4f9-4111-98c0-0d6f9b809a03Tue, 19 May 2026 15:01:40 GMT<p>In this episode of Edge of Intelligence, Carl Owen sits down with Marc Kerrest, CEO and Founder of GPS DataViz, to explore how real-time, AI-powered insights are transforming the way elite sports teams manage performance, reduce injury risk, and unlock competitive advantage.<br /><br />Marc shares his journey from financial markets to sports tech, building a platform that delivers machine learning–driven insights in under 60 seconds—helping coaches and practitioners act faster, smarter, and with greater confidence.<br /><br />🎯 Topics we cover:<br /><br />- Turning GPS, heart rate, and force plate data into real-time decisions<br />- Using predictive models for fatigue forecasting and injury prevention<br />- Automating manual workflows and building trust in AI recommendations<br />- Expanding into new verticals: from pro teams to high school and beyond<br />- How AI is shaping performance strategy—and why the best data tools stay invisible<br /><br />Whether you’re in sports performance, healthcare, or leading digital transformation, this conversation is full of lessons on how to bring intelligence to the edge of action.<br /><br />📍 Learn more at: <a rel="noopener noreferrer nofollow" href="https://www.gpsdataviz.com" target="_blank">https://www.gpsdataviz.com</a><br />📩 Connect with Marc: <a rel="noopener noreferrer nofollow" href="mailto:marc.kerrest@gpsdataviz.com" target="_blank">marc.kerrest@gpsdataviz.com</a><br />🌐 Learn more about Carl &amp; Proteligen: <a rel="noopener noreferrer nofollow" href="https://www.proteligen.com" target="_blank">https://www.proteligen.com</a><br /><br />Don’t forget to like, subscribe, and stay on the edge of intelligence.</p>no00:36:07Marc Kerrest: Real-Time Sports Intelligence at the Edge of Performancefull<![CDATA[Emmitt Nantz – Smart Inventory, Better Medicine: AI in Veterinary Operations]]>In this episode of Edge of Intelligence, Carl Owen sits down with Emmitt Nantz, CEO & Co-Founder of Inventory Ally, to explore how AI and automation are transforming inventory management in veterinary practices.

With two decades of experience in vet operations and process optimization, Emmitt shares how predictive analytics, smart automation, and integrated data workflows are helping practices cut costs, reduce burnout, and improve patient care.

We cover:
✅ Reducing cost of goods sold from 29% to 21%
✅ Burnout prevention through inventory automation
✅ The role of AI in demand forecasting and PIMS integration
✅ Challenges in change management and data trust
✅ Opportunities beyond vet med—in dental, med spas, and even manufacturing

If you work in healthcare, retail, or operations, this episode is full of practical insight on embedding intelligence into everyday workflows.

]]>04f2a73c-0c83-482d-8306-6a2dc7ecd7f9Tue, 19 May 2026 14:54:54 GMT<p>In this episode of Edge of Intelligence, Carl Owen sits down with Emmitt Nantz, CEO &amp; Co-Founder of Inventory Ally, to explore how AI and automation are transforming inventory management in veterinary practices.<br /><br />With two decades of experience in vet operations and process optimization, Emmitt shares how predictive analytics, smart automation, and integrated data workflows are helping practices cut costs, reduce burnout, and improve patient care.<br /><br />We cover:<br />✅ Reducing cost of goods sold from 29% to 21%<br />✅ Burnout prevention through inventory automation<br />✅ The role of AI in demand forecasting and PIMS integration<br />✅ Challenges in change management and data trust<br />✅ Opportunities beyond vet med—in dental, med spas, and even manufacturing<br /><br />If you work in healthcare, retail, or operations, this episode is full of practical insight on embedding intelligence into everyday workflows.</p>no00:34:22Emmitt Nantz – Smart Inventory, Better Medicine: AI in Veterinary Operationsfull<![CDATA[Compliance-First AI: Scaling Intelligence in Regulated Industries]]>In this episode of Edge of Intelligence, host Carl Owen speaks with Todd Kueny, CEO and co-founder of Clarus AI, about building AI systems that not only perform but comply — especially in regulated environments like life sciences, manufacturing, and finance.

💡 What You’ll Learn:

- How Clarus AI automates SOP compliance with AI + human-in-the-loop
- What makes “compliance-first AI” different from traditional data security
- How to track ROI through time saved, risk reduced, and improved accuracy
- Lessons from scaling a lean AI team in a startup setting
- The challenges of AI adoption in regulated sectors — and how to overcome them

🎙️ Guest: Todd Kueny, CEO of Clarus AI
🌐 clarusinsight.ai

]]>ccefb244-e53b-451b-8c9d-c1c54d418399Mon, 23 Feb 2026 20:31:46 GMT<p>In this episode of Edge of Intelligence, host Carl Owen speaks with Todd Kueny, CEO and co-founder of Clarus AI, about building AI systems that not only perform but comply — especially in regulated environments like life sciences, manufacturing, and finance.<br /><br />💡 What You’ll Learn:<br /><br />- How Clarus AI automates SOP compliance with AI + human-in-the-loop<br />- What makes “compliance-first AI” different from traditional data security<br />- How to track ROI through time saved, risk reduced, and improved accuracy<br />- Lessons from scaling a lean AI team in a startup setting<br />- The challenges of AI adoption in regulated sectors — and how to overcome them<br /><br />🎙️ Guest: Todd Kueny, CEO of Clarus AI<br />🌐 <a rel="noopener noreferrer nofollow" href="http://clarusinsight.ai" target="_blank">clarusinsight.ai</a></p>no00:28:533Compliance-First AI: Scaling Intelligence in Regulated Industriesfull<![CDATA[Redesigning the Employee Experience with AI: A Conversation with Beth White]]>In this episode of Edge of Intelligence, host Carl Owen sits down with Beth White, the founder and CEO of MeBeBot, to explore how AI is transforming the employee experience from the inside out.

Beth shares her unique journey from HR executive to AI founder, and how she built MeBeBot as a digital assistant to cut through workplace friction. From Slack and Teams integrations to secure RAG-based content delivery, MeBeBot is helping enterprises reduce noise, deflect support tickets, and improve trust in AI at work.

We dive into:

- Why the employee experience is now a key driver of AI adoption

- How MeBeBot balances generative AI with human-in-the-loop oversight

- What CIOs and HR leaders often overlook when rolling out conversational AI

- Why adoption is less about tools and more about culture and sponsorship

📌 Key takeaway: AI doesn’t magically fix workplace inefficiencies—it helps when built around real operational pain points.

🔗 Learn more about MeBeBot: https://mebebot.com

]]>fe80a935-62ba-4d49-a8d5-23f65540d19eMon, 23 Feb 2026 16:19:02 GMT<p>In this episode of Edge of Intelligence, host Carl Owen sits down with Beth White, the founder and CEO of MeBeBot, to explore how AI is transforming the employee experience from the inside out.<br /><br />Beth shares her unique journey from HR executive to AI founder, and how she built MeBeBot as a digital assistant to cut through workplace friction. From Slack and Teams integrations to secure RAG-based content delivery, MeBeBot is helping enterprises reduce noise, deflect support tickets, and improve trust in AI at work.<br /><br />We dive into:<br /><br />- Why the employee experience is now a key driver of AI adoption<br /><br />- How MeBeBot balances generative AI with human-in-the-loop oversight<br /><br />- What CIOs and HR leaders often overlook when rolling out conversational AI<br /><br />- Why adoption is less about tools and more about culture and sponsorship<br /><br />📌 Key takeaway: AI doesn’t magically fix workplace inefficiencies—it helps when built around real operational pain points.<br /><br />🔗 Learn more about MeBeBot: <a rel="noopener noreferrer nofollow" href="https://mebebot.com" target="_blank">https://mebebot.com</a></p>no00:42:232Redesigning the Employee Experience with AI: A Conversation with Beth Whitefull<![CDATA[Rebuilding Government with AI: From Aircraft Carriers to Capitol Hill]]>nd CEO of Civic, a startup redefining the digital infrastructure of government.

From Navy leadership and Capitol Hill policy to private equity and AI strategy, Jon's journey is anything but ordinary. Now, he’s building an intelligent casework and CRM platform for Congress—called Revere—that tackles one of the most overlooked bottlenecks in government: constituent communication and case resolution.

We cover:

- Why Capitol Hill’s inbox is broken—and how Civic is fixing it

- What AI can (and can’t) do in high-stakes civic environments

- The surprising lessons learned building AI platforms for government

- How synthetic data and reasoning models might simulate citizen engagement

📌 Key takeaway: Government doesn’t just need better tech—it needs tech that understands the unique demands of public service.

🔗 Learn more about Civic: https://get-civic.com

]]>84888f46-af43-465b-a79d-e3aaef00ab8aMon, 23 Feb 2026 16:10:58 GMT<p>nd CEO of Civic, a startup redefining the digital infrastructure of government.<br /><br />From Navy leadership and Capitol Hill policy to private equity and AI strategy, Jon's journey is anything but ordinary. Now, he’s building an intelligent casework and CRM platform for Congress—called Revere—that tackles one of the most overlooked bottlenecks in government: constituent communication and case resolution.<br /><br />We cover:<br /><br />- Why Capitol Hill’s inbox is broken—and how Civic is fixing it<br /><br />- What AI can (and can’t) do in high-stakes civic environments<br /><br />- The surprising lessons learned building AI platforms for government<br /><br />- How synthetic data and reasoning models might simulate citizen engagement<br /><br />📌 Key takeaway: Government doesn’t just need better tech—it needs tech that understands the unique demands of public service.<br /><br />🔗 Learn more about Civic: <a rel="noopener noreferrer nofollow" href="https://get-civic.com" target="_blank">https://get-civic.com</a></p>no00:33:141Rebuilding Government with AI: From Aircraft Carriers to Capitol Hillfull