In this episode of Leaders of Impact, Vishal joins host Vikram to talk about what it really means to turn data into operating leverage rather than just reporting. The conversation covers how to shift a data team from reactive to proactive, why KPI architecture becomes a compass for CXOs and clear ownership for teams, the skills that separate a good data leader from a great one in the AI era, and why Vishal is currently on an intentional career break to find clarity on his next step. 

Timestamps: 

00: 13 – Welcome and today's theme: turning data into operating leverage 
01:43 – Vishal's journey: from software engineering and ML research to data leadership 
05:08 – Why he's taking an intentional break from HousingAnywhere 
08:46 – The impact he's most proud of: shifting data teams from reactive to proactive 
10:58 – What changes when data moves from reporting to shaping decisions 
13:11 – A real example: the supply-demand pricing insight that shifted a stakeholder's mind 
14:54 – Why KPI architecture matters for CXOs 
19:50 – Clear ownership models and why they matter for accountability 
21:56 – Skills beyond technical analysis: business acumen, AI fluency, and storytelling 
25:48 – Why taking a break matters for clarity and career direction 
26:36 – His own ways to reset: dancing, mindfulness, and family time 
28:35 – The book that shaped his mindset on clarity and manifestation 
32:36 – Two lessons for future leaders: learning to say no, and the power of pausing 

Vishal's LinkedIn: https://www.linkedin.com/in/vishalbhola1/  

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In this episode of Leaders of Impact, Arun joins host Vikram to explore how technology leaders grow by adapting across industries, scaling teams, and moving from engineering execution to product and business leadership. The conversation traces Arun's path through gaming, education, and payments before landing at Pragmatic Play, digs into what entrepreneurship taught him about ownership, and unpacks the "sponge in the middle" leadership style that's carried him through high-pressure decisions. The discussion closes with Arun's take on where AI is headed next and why adaptability remains the one skill that never goes out of style. 

Timestamps: 

00:13 Welcome and today's theme: adapting across industries to lead at scale 
01:05 Arun's journey across gaming, payments and education 
04:54 What every job taught him: no shortcut to success 
07:13 Adapting to different industries 
09:31 Why alignment with the company vision matters 
10:50 What building his own venture taught him 
14:55 Scaling teams over 8 years: learning to let go 
19:34 Skills to build beyond technical delivery 
24:53 Handling change across roles and industries 
26:40 Staying calm under pressure 
32:00 AI and the future of product technology 
37:18 Closing thoughts on adaptability 

Arun's LinkedIn: https://www.linkedin.com/in/arunpp/  

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In this episode of Leaders of Impact, Praveen joins host Vikram to talk about why adaptability has carried him through two decades of regulatory change, cloud adoption, and now the rise of AI in life sciences. The conversation covers why compliance is an enabler rather than a blocker, how to think about responsible AI when patient safety and data integrity are on the line, the real risks around data residency and model drift, and the stakeholder-alignment lessons Praveen carries from turning around a struggling telecom transformation early in his career. 

Timestamps: 

• 00:13 – Welcome and podcast’s theme: trusted digital transformation in regulated life sciences 
• 01:16 – Praveen's journey: from process consulting to enterprise IT governance in pharma
• 07:59 – The impact he's most proud of: patient safety, product quality, and data integrity
• 11:07 – Turning around a telecom transformation through stakeholder alignment
• 16:00 – Is compliance a blocker or an enabler of digital transformation?
• 18:00 – Where AI fits in GXP versus non-GXP environments
• 21:18 – What responsible AI really means in life sciences
• 23:14 – The hidden risk of data residency and model drift
• 26:21 – Leading multi-stakeholder projects without losing patience
• 31:32 – Skills tech leaders need beyond technical delivery

Praveen's LinkedIn:  https://www.linkedin.com/in/praveen-gandepudi-varma-9b7919a3/  

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#LeadersOfImpact #LifeSciences #DigitalTransformation #ResponsibleAI #RegulatoryCompliance #AIinTech 

In this conversation, Elena shares how a single classroom moment teaching hardware fundamentals ended up shaping a student's entire career, and what that taught her about impact. She talks about the shift from engineering thinking to leadership thinking, why technical credibility matters even when it isn't essential, and how she builds trust with engineering teams as a non-technical-first leader would.  

 00:13 – Welcome and introducing Elena Bassiachvili 
01:12 – Elena's journey: engineering, academia, and entrepreneurship 
03:27 – The teaching moment that changed a student's career path 
06:18 – The shift from engineering to leadership 
08:14 – How teaching experience shaped her leadership style 
10:50 – Why technical credibility matters in leading engineers 
12:41 – Advice for non-technical leaders leading technical teams 
14:41 – Aligning expectations between engineering and business stakeholders 
20:53 – What excites her most about AI today 
22:04 – How AI is changing access to the startup journey 
24:36 – Inside Stack's 18-month founder accelerator program 
28:48 – Advice for aspiring leaders and founders 

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In this conversation, Simon traces his path from psychology to accounting to leading technology change, and shares why he thinks most people are approaching AI all wrong - mistaking simple automation for genuine intelligence. He unpacks the difference between AI-enabling your systems versus your vision, why "slowing down to go faster" is the only sustainable path through transformation, and why, after decades of change, he still believes people come before any piece of technology. 

00:12 – Welcome and introducing Simon Ratcliffe 
00:53 – Simon's path: from psychology to accounting to technology leadership 
02:45 – When technology first entered the finance function 
03:47 – Why we've forgotten to train people on the basics 
06:00 – Fear-driven AI adoption and the "keep up" mindset 
07:02 – IKEA's story: retraining 15,000 jobs instead of cutting them 
08:12 – Why Simon has a problem with the phrase "AI" 
08:36 – Automation vs. AI: the distinction most leaders miss 
08:50 – A 1990s OCR story that mirrors today's AI hype 
11:32 – Asking AI where AI fits in the business 
13:11 – Why AI has to be a radical shift, not just faster automation 
13:44 – Garbage in, garbage out: why prompting well matters 
16:01 – Reversing the principle: showing people the art of the possible 
16:59 – The two camps: unaware users and unrealistic expectations 
17:24 – Why AI's data foundation is the real bottleneck 
18:00 – Building a parallel ".AI" business to avoid disrupting the core 
19:03 – Rising AI costs and the shift toward localized processing 
19:49 – Simon's advice distilled: AI-enable your vision, not your systems 
21:06 – Why some businesses just shouldn't AI-enable 
22:04 – Why nobody can predict AI three years out 
24:00 – The real cost and accuracy risks in scaling AI pilots 
27:00 – Small language models as the answer to cost, accuracy, and carbon 
29:49 – "Slow down to go faster": governance and guardrails in AI projects 
36:20 – The achievements closest to his heart: a museum in VR and a pandemic teaching story 
43:00 – Spotting the earliest signs a transformation is heading the wrong way 
45:19 – Why people always come first, then process, then technology 

Simon's LinkedIn - https://www.linkedin.com/in/itevangelism/ 

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#AILeadership #DigitalTransformation #FutureOfWork #TechLeadership #LeadersOfImpact

In this conversation, Faisal traces a career that grew alongside the technology itself - from GW-BASIC and jumper-setting processors, through VoIP protocols and WebRTC innovation, to building a voice AI agent with near-zero latency and human-like interpretability. He shares why he leads engineering teams as a mentor rather than a manager, the philosophy of recognition over hierarchy, and a sharp, grounded take on what separates real AI development from API wrapping plus why building a product is the easy part compared to building a business. 

 00:12 – Welcome and introducing Faisal Hanif 
00:54 – A career that grew with the technology: from GW-BASIC to processor jumpers 
04:08 – The shift into IP telephony and early VoIP protocols 
07:17 – Building Wi-Fi calling and founding his own telecom ventures 
09:32 – Delivering lawful interception and voice-pattern solutions for U.S. clients 
09:41 – Innovating healthcare and CPaaS products in the Nordic market 
14:07 – Building a zero-code voice application platform 
15:44 – Solving latency: building a sub-millisecond, interruptible voice AI agent 
19:46 – Following your Ikigai: finding a lifelong fit in telecom and code 
21:29 – The projects closest to his heart 
24:10 – Leading as a mentor, not a manager 
30:56 – Recognition, reward, and building team morale 
33:08 – Getting teams to embrace process by owning it themselves 
38:10 – Separating real AI development from API wrapping 
42:16 – Two lessons for the next generation: never stop learning, and a product isn't a business 

Faisal's LinkedIn - https://www.linkedin.com/in/faisal-hanif-ai-telecom/ 
 
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#VoiceAI #Telecom #WebRTC #TechLeadership #LeadersOfImpact 

In this conversation, Rahul walks through his proudest project to date: migrating ten different ERP systems into a single SAP cloud platform for a major UK city council, without disrupting a single existing process. He breaks down how his DFRA framework cuts financial close time by 40%, why AI is now "bread and butter" for finance transformation but still needs a human in the loop, and what he believes the finance function will look like once agentic AI takes over the routine work. 

00:13 – Welcome and introducing Rahul Bhatia 
00:34 – Rahul's background: SAP, enterprise finance, and 25 years in the UK 
01:18 – Rahul's journey: starting from a book on SAP architecture 
02:50 – The transformation closest to his heart 
03:11 – Migrating 10 ERP systems into one for a major UK city council 
04:20 – Deploying his own DFRA framework in a live public-sector program 
05:24 – Why finance data is the real foundation transformation programs miss 
06:27 – How the DFRA framework cuts financial close time by 40% 
07:19 – Protecting accuracy without disrupting existing processes 
08:13 – Why SAP's cloud model is built to protect legacy processes 
09:03 – How much AI is already built into the framework 
11:16 – Introducing FAST: Finance Architecture, Strategy and Technology 
12:44 – Identifying and de-risking finance transformation programs 
14:28 – The right questions CFOs and CIOs should ask before approving transformation 
16:19 – Career advice: SAP e-learning and building a technical foundation 
17:56 – What's missing in how future enterprise architects are trained 
19:14 – How working across countries shaped his approach to transformation 
21:03 – How agentic AI will reshape the finance function in five years 
23:39 – Two lessons for future technology and transformation leaders 

Rahul's LinkedIn - https://www.linkedin.com/in/rahul-b-017b4828/ 

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#AgenticAI #FinanceTransformation #EnterpriseArchitecture #TechLeadership #LeadersOfImpact 

In this conversation, Prasad traces how today's AI-assisted coding tools were seeded decades earlier in the "code maintainability index" era and shares the origin story of the developer center-of-excellence model he built at Microsoft , a template still used by system integrators today. He unpacks why so many AI pilots never make it to production, introduces the concept of the "verification tax," and lays out what he believes will separate the organizations that win with AI from the ones left behind over the next five years. 

00:12 – Welcome and introducing Prasad Prabhakaran 
01:11 – Prasad's journey: from Microsoft's developer platforms to enterprise AI leadership 
03:42 – The early 2000s roots of today's AI-assisted coding 
08:24 – The real problem behind AI: earning the trust of the data consumer 
14:09 – Building Microsoft's first developer center-of-excellence model 
16:02 – Writing an HBR-backed book on becoming an AI-native enterprise 
21:05 – Why the book is structured around challenges, causes, and a playbook 
27:23 – Why so many AI pilots never make it to production 
33:01 – The accountability gap: who owns an AI agent's mistakes? 
36:51 – Why "the technology searching for a solution" is the first failure mode 
38:24 – Introducing the "verification tax" 
40:59 – Hiring "who, not how": picking the right team for AI transformation 
41:09 – What will be true about successful organizations in five years 
47:58 – Why an innovation culture matters more than any single AI model 
48:05 – The regulatory gap: the biggest risk to moving fast with AI 

Prasad's LinkedIn - https://www.linkedin.com/in/prasadprabhakaran/ 

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In this conversation, Prashant shares how a post-9/11 pivot from aerospace engineering led him into finance and then Amazon, why he sees crisis as "the cradle of leadership," and the win-win negotiation tactics that helped him unblock a three-year-stalled project in a single quarter. He also opens up about the social-impact products he's proudest of, the difference between an employee mindset and a leader's mindset, and a candid, contrarian forecast for where AI economics are headed over the next five years. 

00:12 – Welcome and introducing Prashant Kale 
01:18 – From aerospace engineering to software after 9/11 
03:06 – Entering finance and building systems for Bank of America and OFI Global 
07:10 – The jump to Amazon and untangling a $1.3B legacy systems project 
09:07 – Becoming a first-time CTO at Mahindra and the pandemic pivot 
09:56 – Saving a Nigerian supply chain company from shutdown in one month 
12:16 – The social-impact fintech product he's proudest of 
19:20 – Win-win negotiation tactics for stakeholder alignment 
23:30 – Why crisis is "the cradle of leadership" 
29:07 – What separates organizations that transform successfully 
31:52 – Employee mindset vs. leader mindset 
34:02 – Five-year predictions: unit economics, small models, and the token economy 
39:37 – A coming AI market correction and the lesson from past crashes 

Prashant's LinkedIn - https://www.linkedin.com/in/prashant-kale/ 
 
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In this conversation, Paul shares how a "random walk" career across academia, defence, healthcare, and government shaped his thinking on leadership, why empathy and resilience matter more than technical skill when driving change, and the cultural lessons from Denmark and Japan that reshaped how he seeks agreement from stakeholders. He also breaks down what actually motivates software engineers, his take on where AI is delivering real value versus hype, and how technology leaders should think about vendor risk and cost as AI adoption accelerates. 

00:12 – Welcome and introducing Paul Mukherjee 
00:50 – Paul's "random walk" journey: academia, Denmark, and the F-35 program 
03:21 – Landing in the UK's national NHS IT program 
03:49 – The winding path through CIO, consulting, and a Japanese pharma company 
05:01 – Building an accidental cloud strategy into a shared one 
08:11 – Why empathy and resilience are the most important leadership attributes 
10:07 – The trouble with translating every benefit into a business case 
11:45 – What actually drives high-performing teams 
13:11 – Hiring for attitude and the influence of Daniel Pink's "Drive" 
14:07 – Autonomy, mastery, and purpose in motivating engineers 
17:01 – Hard-won lessons from Denmark and Japan on culture and agreement 
19:28 – Advice for stepping into a CTO role 
21:15 – Why Michael Porter's "What Is Strategy?" remains a favorite 
23:02 – Staying current: recommended sources and reads 
24:06 – Separating AI hype from AI value in the enterprise 
27:13 – Managing AI usage costs and the case for open-source models 
29:25 – Business resilience and the risk of vendor dependency in AI 

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Paul's LinkedIn - https://www.linkedin.com/in/paulmukherjee/ 

Mark shares why successful AI transformation begins with business outcomes rather than tools, how enterprises can build AI solutions that scale, and why data, architecture, governance, and organizational readiness matter more than chasing the latest AI trends. 

 00:13 Introduction 
00:56 Mark Simpson's 30-year technology journey 
03:13 From writing code to solving business problems 
06:46 Transformation stories that created real impact 
10:41 Why most AI initiatives fail 
14:21 The biggest barriers to enterprise AI adoption 
17:48 Balancing AI speed with governance and trust 
19:20 Using AI for growth instead of cost-cutting 
21:46 Mark's keynote, whitepaper, and AI Summit sessions 
24:15 Why enterprises have an AI advantage over startups 
28:15 Choosing the right AI implementation partner 
32:28 Why human oversight is essential in AI 
34:02 Small Language Models (SLMs) vs Large Language Models (LLMs) 
39:06 Building enterprise AI products that scale 
42:14 Books every AI leader should read 
46:45 AI governance, ethics, and the future of intelligence 
47:50 Mark's advice for leaders driving AI transformation 
49:08 Closing remarks 

Mark Simpson’s LinkedIn: https://www.linkedin.com/in/marksimpsongw/ 

Vikram Jain’s LinkedIn: https://www.linkedin.com/in/vikram-jain-galaxy/ 

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Whether you're an engineer, manager, student, or someone looking to grow as a leader, this conversation is packed with insights you won't want to miss. 

00:13 – Introduction 
01:05 – Christine's journey: Military to aerospace 
05:02 – Transitioning from the military to corporate life 
10:00 – Earning trust and leading without authority 
17:01 – Leadership philosophy, mentoring & measuring impact 
20:05 – Building the future of sustainable aviation 
24:04 – Women in engineering and overcoming systemic challenges 
29:03 – Confidence, imposter syndrome & the authority gap 
34:00 – Tackling unconscious bias and creating inclusive workplaces 
38:03 – Advice for aspiring leaders 
40:10 – Closing thoughts 
 
Christine’s LinkedIn: https://www.linkedin.com/in/christine-e-matthews/  
 
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In this conversation, Wilfred shares his perspective on AI's impact on engineering teams, why adaptability is becoming the most valuable skill in technology, the future of software development, and how leaders can create environments where people continue to thrive during rapid change. He also discusses the importance of collaboration, communication, personality-driven leadership, and maintaining a strong human element in an increasingly AI-powered world. 

• 00:12 — Welcome & intro: Know about Wilfred 

•  02:28 — From introverted developer to engineering leader 

•  04:48 — Will AI replace developers, QAs, and engineers? 

•  07:13 — Junior developers aren't disappearing — but expectations are rising 

•  09:39 — Garbage in, garbage out: The real problem with AI output 

•  11:59 — Engineers who refuse to use AI, and how to handle it 

•  14:24 — The horse cart vs. car analogy: Adapt or get left behind 

•  16:48 — Using AI agents to build a private family app 

•  19:06 — Vibe coding for non-technical founders: Promise and pitfalls 

•  21:27 — The AI tool pipeline: ChatGPT, Claude, Cursor, Perplexity 

•  23:49 — When a CMO built a feature and wanted to ship it straight to production 

•  26:12 — The plain-text password incident: What happens when vibe coding skips prompt engineering 

•  28:36 — Why teams accept AI output without questioning it 

•  30:59 — The UX crisis: Why Wilfred's head of UX hates AI tools 

•  33:27 — Micro teams, collaboration, and why agile is evolving 

•  35:52 — DISC profiles and why personality awareness changes how you lead 

•  38:10 — When Wilfred realized he was the one giving orders without realizing it 

•  40:33 — Adapting communication for a red CEO vs. a green CFO 

•  42:59 — People management is not a promotion. It's a skill. 

•  45:23 — Non-violent communication and the violence that sneaks into leadership 

•  47:48 — No releases after Friday 12 PM 

•  50:08 — PR hygiene and Friday handover rules 

•  52:34 — Slowing down enough to do design thinking in an AI-accelerated world 
  

Books Mentioned 

• Surrounded by Idiots  

• Nonviolent Communication  

Wilfred’s LinkedIn: https://www.linkedin.com/in/wilfredm/