<![CDATA[Convergence of the Futures]]>Convergences Intelligence is the practice of analyzing the points where artificial intelligence, geopolitical power, and financial markets intersect — and extracting decision-grade insight from those intersections. It operates on the premise that the most consequential developments in each of these domains are no longer separable: AI reshapes sovereign capability, sovereign policy reshapes capital flows, and capital allocation reshapes the trajectory of AI itself. Traditional intelligence silos — tech research, political risk, market analysis — miss the signal precisely because they treat these forces in isolation.

Convergences Intelligence exists to close that gap. It delivers integrated analysis for principals, institutional investors, and enterprise decision-makers who need to see across domains to act within them.

]]>www.tamarly.aiRiverside.fm (https://riverside.com)Mon, 08 Jun 2026 07:41:27 GMTTue, 28 Apr 2026 15:50:57 GMT60Tamarly.ai<p><b>Convergences Intelligence</b> is the practice of analyzing the points where artificial intelligence, geopolitical power, and financial markets intersect — and extracting decision-grade insight from those intersections. It operates on the premise that the most consequential developments in each of these domains are no longer separable: AI reshapes sovereign capability, sovereign policy reshapes capital flows, and capital allocation reshapes the trajectory of AI itself. Traditional intelligence silos — tech research, political risk, market analysis — miss the signal precisely because they treat these forces in isolation.</p><p>Convergences Intelligence exists to close that gap. It delivers integrated analysis for principals, institutional investors, and enterprise decision-makers who need to see across domains to act within them.</p>episodicTamarly.aimelvin.manchau@gmail.comno<![CDATA[Empower your Savings with Om Kundu from SaveAway]]>The conversation covers the journey of Om Kundu as a technology founder, the concept and inspiration behind SaveAway, the impact of technology on the affordability crisis, the decision to focus on savings, the role of behavioral science in platform design, and the e-commerce aspects of SaveAway. It also explores the disruption caused by technology in various sectors. The conversation covers the consumer perspective on product reviews and the influence of digital neighbors. It also delves into the relationship with merchants and the concept of delayed gratification. The discussion then explores the impact of agent e-commerce and AI-driven commerce, followed by insights into the founder's journey and the future of SaveAway.

Takeaways

  • Technology disruption
  • Founder's journey Consumer Perspective
  • Delayed Gratification

Chapters

  • 00:00 E-commerce Aspects of SaveAway
  • 33:26 Merchant Relationship and Delayed Gratification
  • 42:09 Agent E-commerce and AI-driven Commerce
]]>2e08294a-73dd-4b5f-9f0c-6e432ed60e9cWed, 27 May 2026 23:30:00 GMT<p>The conversation covers the journey of Om Kundu as a technology founder, the concept and inspiration behind SaveAway, the impact of technology on the affordability crisis, the decision to focus on savings, the role of behavioral science in platform design, and the e-commerce aspects of SaveAway. It also explores the disruption caused by technology in various sectors. The conversation covers the consumer perspective on product reviews and the influence of digital neighbors. It also delves into the relationship with merchants and the concept of delayed gratification. The discussion then explores the impact of agent e-commerce and AI-driven commerce, followed by insights into the founder's journey and the future of SaveAway.</p><p></p><p>Takeaways</p><ul><li>Technology disruption</li><li>Founder's journey Consumer Perspective</li><li>Delayed Gratification</li></ul><p></p><p>Chapters</p><ul><li>00:00 E-commerce Aspects of SaveAway</li><li>33:26 Merchant Relationship and Delayed Gratification</li><li>42:09 Agent E-commerce and AI-driven Commerce</li></ul>no00:47:1212Empower your Savings with Om Kundu from SaveAwayfull<![CDATA[Disrupting Municipal Bonds]]>Today we are interviewing Ron Bezoza from Lancaster. Ron Bezoza spent over a decade at Goldman Sachs and Morgan Stanley running some of the largest managed solutions and advisory businesses in the industry. He had the pedigree, the platform, and the distribution. Then he walked away to co-found Lancaster Systematic — an AI-native fixed income firm with no outside funding and a bet that the entire bond market is about to be rebuilt from scratch.

In this episode, Ron joins Melvine Manchau to talk about what he saw from inside the wirehouses that others missed, why fixed income — not equities — is where AI-driven alpha is actually being captured right now, and what it takes to compete against firms managing $500B in credit with a startup nobody has heard of yet.

They get into the real mechanics: where AI adds edge in fixed income versus where it's just marketing, how execution works in a still-fragmented corporate credit market, and what Ron's pitch looks like to institutional allocators who've been burned by quant promises before.

This is a conversation about conviction, timing, and what systematic asset management actually looks like when it's being built by someone who already knows how the old model works — and why it's running out of road.

Topics covered:

  • Why 2023 was the right moment to launch a systematic fixed income firm
  • Where AI genuinely generates alpha in bond markets — and where it doesn't
  • Distribution strategy: allocators, RIAs, sub-advisory, and model portfolios
  • The hardest objection institutional buyers raise, and how that's evolved
  • Where traditional active fixed income managers end up in five years
  • What Lancaster looks like if the bet pays off by 2030
]]>4eb89b6e-baea-4b17-8f65-912f2d50a420Sun, 17 May 2026 22:31:04 GMT<p>Today we are interviewing Ron Bezoza from Lancaster. Ron Bezoza spent over a decade at Goldman Sachs and Morgan Stanley running some of the largest managed solutions and advisory businesses in the industry. He had the pedigree, the platform, and the distribution. Then he walked away to co-found Lancaster Systematic — an AI-native fixed income firm with no outside funding and a bet that the entire bond market is about to be rebuilt from scratch.</p><p>In this episode, Ron joins Melvine Manchau to talk about what he saw from inside the wirehouses that others missed, why fixed income — not equities — is where AI-driven alpha is actually being captured right now, and what it takes to compete against firms managing $500B in credit with a startup nobody has heard of yet.</p><p>They get into the real mechanics: where AI adds edge in fixed income versus where it's just marketing, how execution works in a still-fragmented corporate credit market, and what Ron's pitch looks like to institutional allocators who've been burned by quant promises before.</p><p>This is a conversation about conviction, timing, and what systematic asset management actually looks like when it's being built by someone who already knows how the old model works — and why it's running out of road.</p><p><b>Topics covered:</b></p><ul><li>Why 2023 was the right moment to launch a systematic fixed income firm</li><li>Where AI genuinely generates alpha in bond markets — and where it doesn't</li><li>Distribution strategy: allocators, RIAs, sub-advisory, and model portfolios</li><li>The hardest objection institutional buyers raise, and how that's evolved</li><li>Where traditional active fixed income managers end up in five years</li><li>What Lancaster looks like if the bet pays off by 2030</li></ul>no00:53:0911Disrupting Municipal Bondsfull