Modernizing databases in practice involves more than just moving data—it requires rethinking how systems, developers, and AI interact. In this episode, Shireesh Thota, Corporate Vice President of Azure Databases at Microsoft, joins Alok Pareek, co-founder and Executive Vice President of Product Development at Striim, to discuss the evolution of operational databases, the rise of real-time data movement, and what it really takes to modernize at scale.

Together, they discuss how Microsoft’s Unlimited Database Migration Program, powered by Striim, enables organizations to migrate heterogeneous sources—from SQL Server and Oracle to Postgres and beyond—into Azure with speed and precision, creating a modern data foundation ready for the next generation of intelligent applications.

What's New In Data is a data thought leadership series hosted by John Kutay who leads data and products at Striim. What's New In Data hosts industry practitioners to discuss latest trends, common patterns for real world data patterns, and analytics success stories.

What if the fastest route to real AI value isn’t training a new model—but learning how to use the ones we already have, better? We sit down with author and professor John K. Thompson to chart a clear path from AI’s roots to practical wins you can ship this quarter, while keeping an honest eye on what stands between today’s LLMs and true AGI.

We start with the origin story—from Turing’s early ideas to the Dartmouth workshop—and show why those founding questions still matter. Then we move into the present: how context windows let you infuse models with your voice, policies, and playbooks without fine‑tuning; why unique information assets are your real moat; and how cross‑functional teams (operators plus technologists) turn prompts into production results. John explains the power of causal AI to answer “what should we do?” and shares concrete examples, from proposal generation that compresses months of work into minutes to manufacturing setups that slash daily waste by two‑thirds.

Along the way, we cut through common myths. AGI isn’t arriving next week; we’re missing durable memory, robust causal reasoning, and integrated “composite AI” that blends generative, foundational, and causal methods. GenAI coding is a productivity edge for scaffolding and tests, but complex logic still needs expert hands, strong reviews, and measurable KPIs. For leaders, the blueprint is simple: build around the model first with retrieval, guardrails, and evaluation; organize AI and data science as one team; choose tools that fit practitioners; and measure outcomes relentlessly.

If you’re serious about unlocking AI’s upside without getting lost in hype, this conversation offers frameworks you can use today and a realistic map for tomorrow. Enjoy the episode, and if it resonates, follow the show, share it with a colleague, and leave a quick review to help others find it.

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What's New In Data is a data thought leadership series hosted by John Kutay who leads data and products at Striim. What's New In Data hosts industry practitioners to discuss latest trends, common patterns for real world data patterns, and analytics success stories.

In this episode of What’s New in Data, we’re joined by Clare Liguori – Senior Principal Engineer at AWS – to dig into the evolving role of retrieval in modern AI systems. Clare unpacks why retrieval shouldn’t just be thought of as a technique to get documents — it’s a strategic tool that can unlock smarter, more adaptive agents.
We also explore how AWS is thinking about orchestration, what actually counts as “reasoning,” and why the real power lies in combining structured memory with real-time context. If you’re building with agents, this one’s packed with insight. Show Notes

• Get started with Strands Agents
• Follow Clare on LinkedIn

What's New In Data is a data thought leadership series hosted by John Kutay who leads data and products at Striim. What's New In Data hosts industry practitioners to discuss latest trends, common patterns for real world data patterns, and analytics success stories.