Data Day with Greg Michaelson

Greg Michaelson sits down with Yagub Rahimov, founder and CEO of Polygraph AI, to explore the emerging field of AI security. They discuss why traditional cybersecurity is breaking down in the age of large language models, how Polygraph uses specialized small language models (SLMs) to monitor both human and AI behavior in real time, and why contextual security—not pattern matching—is the future. Th...

In this episode of Day Today, Greg Michaelson sits down with Rob Zuber, CTO of CircleCI, for a wide-ranging conversation about software engineering, developer tools, AI coding agents, and the future of building software. Rob shares his journey from manufacturing engineering and factory-floor data analysis to leading one of the most influential companies in modern software delivery. Along the way,...

Raheem Bell is a surgical resident at Northwestern and the CEO of Operative Insights, a startup developing an autonomous operating room lighting system designed to help surgeons see better, work more efficiently, and improve patient outcomes. In this episode, Raheem shares how years in the operating room led him to identify a surprisingly common problem: surgeons constantly adjusting lights during...

In this episode of  Data Day with Greg Michaelson , Greg sits down with Tony Medrano to explore the rapidly evolving intersection of AI, wearable health data, peptides, and personalized longevity optimization. Tony shares his journey from founding one of the earliest AI startups in 2016 to helping scale a molecular diagnostics company from zero to $1 billion in revenue during the COVID era, servin...

In this episode of  Data Day with Greg Michaelson , Greg sits down with John Kane to explore the rapidly growing world of sports prediction markets and the AI systems powering next-generation quantitative trading. John explains how his company, Lazy Edge, applies quantitative finance techniques to live sports trading, using massive real-time data streams, simulation engines, and AI-driven modeling...

In this episode of  Data Day with Greg Michaelson , Greg sits down with Gaurav Jain to explore one of the hardest problems in modern developer tooling: understanding developer intent. They dive into how technical buyers actually evaluate products, why traditional B2B funnels break down when selling to engineers, and how reo.dev tracks developer behavior across GitHub, docs, package managers, MCPs,...

Tom Coyle’s career path sounds fictional until you realize it’s all true. West Point graduate, Army officer, CIA operations specialist, AI strategist, startup founder, and now health tech entrepreneur focused on improving cancer outcomes through nutrition and data. In this episode, Tom shares stories from his time tracking enemy mortar patterns in military simulations, helping intelligence teams t...

In this episode of  Data Day , I sit down with Bhaskar Sunkara, co-founder and former CTO of AppDynamics, to unpack the evolution from application performance monitoring to AI-driven business analytics. We go deep on how AppDynamics redefined monitoring by focusing on business transactions instead of infrastructure metrics, why self-serve was a game-changing GTM move, and the behind-the-scenes sto...

I sat down with Todd Persen from Hydraulics to unpack observability, log data, and what actually happens behind the scenes when your apps, streams, and infrastructure are running at scale. We get into how systems are monitored, why logs are exploding in size and complexity, and why LLMs struggle once the data gets truly massive. The conversation takes a turn into the future, where agentic traffic...

In this episode of  Day to Day , Greg reconnects with Darius Sabas to unpack his journey from DataRobot to leading analytics teams across European marketplaces. Darius shares lessons from scaling data organizations, building modern data stacks with tools like Snowflake and Mixpanel, and navigating the transition from basic reporting to predictive modeling and AI-driven products. The conversation d...

Saad Ansari has had one of the more unusual paths in AI. He shares what it was like serving as an advisor inside the Saudi Ministry of Hajj and Umrah, helping guide digital transformation for one of the largest recurring events in the world. We talk about how AI intersects with government systems, why execution looks different across countries, and what it takes to modernize legacy infrastructure....

Julien Simon has spent years explaining cutting-edge tech to the world — first at AWS, then Hugging Face, and RCAI. In this conversation, he shares how he moved from CTO roles into tech evangelism, what it was like pushing for honest benchmarking inside big tech, and why trust matters more than marketing. We get into: The real role of a tech evangelist Why benchmarking caused internal friction The...

Adam Davis has been in content marketing for over a decade, and he’s spent the last year testing AI tools full time. We talk about how AI is changing content workflows — not by replacing marketers, but by forcing them to rethink process and positioning. We cover: Why SEO isn’t dead, but evolving What GEO actually means How Reddit influences AI training data Why authenticity is becoming the only mo...

Roey Zalta has worked at the forefront of enterprise AI deployment, including multi-agent systems in production environments. In this episode, we discuss: What “agentic companies” really mean Multi-agent systems deployed in Hebrew Why evaluation (evals) is the hidden key to enterprise AI The risks of automating broken business logic Voice AI agents replacing call centers Microsoft’s long-term AI s...

Greg reconnects with former DataRobot “Director of Competitor Annihilation” Thomas Dinsmore to unpack what’s happened in the AutoML world, the rise of AI agents, and whether generative AI is truly disruptive or just another buzz cycle. They discuss Domino’s governance-first platform, the future of predictive analytics, AGI skepticism, and why “don’t trust—verify” still applies in the AI era.

In this episode, Greg and Razi revisit their DataRobot roots and discuss what still hasn’t been solved in data science. FeatureByte’s data science agent tackles the messy 90% of the ML workflow: feature engineering, pipeline management, and production deployment. They debate tabular foundation models, agentic frameworks, and whether feature stores are actually being used in the real world.

Greg reconnects with Andrew Engel to talk about leaving the LLM SaaS wave behind and building something tangible. After years in the data science startup ecosystem, Andrew is now co-founding Nyst.ai , using computer vision and movement analysis to detect concussions from a mobile phone. They discuss startup realities, prompt engineering skepticism, remote work, and what it’s like to move from empl...

What happens when you apply agent-native AI to one of the most fragmented industries in America? Greg and Satadru explore the evolution from enterprise AI at DataRobot to building automation infrastructure for home service providers. They discuss workflow automation, AI-generated quoting and payments, cold-start marketplaces, and why “point solutions” fail in complex industries.

In this episode of  Day to Day with Greg Michaelson , Greg sits down with Ray Mi, former DataRobot leader and AI solutions expert, to explore how data science is evolving in the age of generative and agentic AI. They discuss AI-native companies, digital twins, virtual simulations, privacy, education, and what the data scientist role looks like over the next decade. If you’re wondering where AI is...

In this episode, Greg sits down with longtime colleague John Forrest to talk about what really matters in technical customer support. Drawing on years of experience across startups and enterprise software, they explore trust, customer relationships, AI, vector databases, agentic memory, and why human judgment still matters even in an AI-driven world.

On this episode of Data Day, Greg Michaelson sits down with longtime friend and former DataRobot colleague, Dennis Oleksyuk, co-founder and CTO of AirCon, to unpack what it really takes to put AI agents into production in a weird but massive industry: air freight. Dennis shares his unconventional path from growing up in one of the coldest inhabited places on earth, to applied math in a Soviet-styl...

Notebooks for data haven’t meaningfully changed in more than a decade, so we rebuilt them completely, based on how data work is actually done. We're introducing a major evolution of the Zerve app in a clean, streamlined UI that brings the fluidity of notebooks together with the power of agentic execution, reproducible canvases, and real cloud compute. Join the founders, Greg Michaelson , Phily Hay...

Notebooks were made for people, not for AI. Zerve rebuilt them for both. In this livestream, Greg Michaelson, Zerve Co-Founder and Chief Product Officer, chats with data science guru Joel Grus (of “I don’t like notebooks” fame), and unveils the latest Zerve release: a new kind of notebook where agents and humans collaborate in real time to go from question to deployed solution 10x faster. Learn ho...

Data science isn’t the same as software engineering. The difference is context. In this livestream, we’ll unpack what “context” really means, why it matters for data science, and how it transforms how teams work. You’ll hear how leading companies use context-aware workflows to cut wasted effort, streamline collaboration, and move faster from idea to impact. We’ll also demo Zerve, the first AI deve...