PODCAST · technology
Data Science With Sam
by Soumava Dey
This is an educational podcast focused on bringing academia and industry experts together in a common forum and initiate discussion geared towards data science, artificial intelligence, actuarial science and scientific research. DISCLAIMER: The views and opinions expressed in this podcast are solely those of the host(s) or guest(s) and do not necessarily reflect the policy or position of any organization. The podcast is intended to provide general educational information and entertainment purposes only. RSSVERIFY
Episodes
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EP 51: Building AI Agents That Actually Work in Production | Shawn Kercher, CEO @HummingAgent.ai
Sam sits down with Shawn Kercher — Co-Founder & CEO of HummingAgent.ai — to cut through the noise around AI agents. Shawn built his company on a simple but powerful observation: most AI products are just ChatGPT wrappers. HummingAgent is his answer — a full-custom software shop that builds…
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EP 50: Evolution of Enterprise Data Engineering in Gen AI Era
Shashank Akinapalli is a Senior Data Engineer at TCS where he leads cloud data lakehouse initiatives and real-time streaming architectures for supply chain intelligence. With 14 years of experience across IBM DataStage, Databricks, Snowflake, dbt, AWS, and Spark-based ecosystems, he has…
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EP 49: The Human Side of AI in Media: Speed, Trust & What's Really Changing | Karima Sharif-Ali, Media & Marketing Leader
Karima Sharif-Ali — known affectionately in the industry as the Fresh Princess of Media — is the SVP of Strategic Accounts at Doceree, a platform transforming point-of-care communications for healthcare brands. Over her career, Karima has shaped the marketing journeys of more than 100...
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EP 48: From Pilots to Productivity: What It Actually Takes to Make AI Work in the Enterprise
Jim Spignardo is the Director of Cloud Strategy and AI Enablement at ProArch, a global IT services and consulting firm. With 25 years in IT spanning network engineering, cloud, cybersecurity, and strategic consulting, Jim advises executive teams on modernisation, operational resilience, and...
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EP 47: The AI Pioneer Who Decided Privacy Matters More Than Hype
If you ever had a document you wished you could just ask questions to - without it leaving your computer, wouldn't be pretty good from data privacy perspective? In this episode, Sam sits down with Dr. Jonathan Schaeffer - Distinguished Professor Emeritus at the University of Alberta, co-founder…
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EP 46: Fix the Foundation First: Why Your Data Strategy Is Failing Before the AI Gets Involved
Most companies have spent years buying tools, running pilots, and building dashboards - and they still can't answer the questions leadership needs answered. The problem isn't the technology. It's that no one fixed the foundation first. Ilan Man is the Founder and CEO of Paradox Machines, a data…
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EP 45: Why AI Agents Break in Production: The Missing Harness in Your Data Stack
An independent evaluation of Snowflake's Cortex Analyst found 6 in 10 AI-generated queries were wrong — but they all compiled and ran without a single error. That's not a model problem. That's a missing harness problem. Pradnesh Patil is the Co-Founder and CEO of Altimate AI — a platform bringing...
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EP 44: Human-Centered Credit - Building Explainable AI for Lending in an Agentic World
We are letting AI make life-changing financial decisions without requiring it to explain itself. The CFPB says 'insufficient information' is no longer an acceptable reason to deny a loan. The EU AI Act classifies credit scoring as high-risk. And more than half the US workforce - gig workers,...
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EP 43: The Outsider's Advantage: How Diverse Perspectives Unlock Enterprise AI Success
McKinsey says 88% of organizations are using AI. Only 6% are getting real value. Sumaiya Shrabony argues the gap isn't technical - it's trust. And the people best equipped to see that barrier are almost never in the room when AI rollout strategy gets written. Sumaiya is Technical Program Manager...
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EP 42: When AI Meets Robotics: Building Machines That Care
In this episode, Sam sat down with guest Dr. Mohammad explore what it actually takes to build emotional intelligence into a physical machine - from the technical layers of facial expression recognition and voice intonation analysis to the user experience decisions that matter most when your users...
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EP 41: The Reward Signal: The Missing Ingredient in Every AI System You’ve Built
74% of organizations hope to grow revenue through AI. Only 20% are actually doing it. That gap isn't a technology gap — it's a design gap. And today's guest has a name for what's missing: the reward signal. Alexander Liss is a Data and AI Scientist based in Denver, Colorado, with a 30-year career...
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EP 40: Governance First: The Architecture Framework That Makes AI Auditable, Defensible, and 99% Cheaper
Most AI governance is a policy document that nobody enforces. And in high-stakes environments - legal, healthcare, finance - that gap between policy and architecture is where disasters happen. In this episode, Dan Driver, founder of Driver AI Agency, walks through exactly how he built CaseReady...
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EP 39: Why the Future of AI Belongs to Divergent Thinkers
What if ADHD - penalised in classrooms and boardrooms for decades - is actually the competitive advantage in an AI-driven world? Palantir CEO Alex Karp said the future belongs to neurodivergent thinkers. The podcast guest Mark Stiltner has been living proof of that for years. Mark is Senior...
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EP 38: The Local AI Stack Nobody Talks About (But Should)
You want to run AI locally. You have questions: What hardware do I actually need? Which framework should I use? How much will this cost? What's the realistic performance? In this episode, Sam brings back Trent Rossiter, founder of Logical Data Solutions, for a practical walkthrough of building a...
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EP 37: Neurons: Future of AI Processing
What if the next generation of computers wasn't made of silicon — but of living human neurons? Not simulated neurons, not artificial neural networks inspired by biology, but actual brain cells grown in a lab, connected to electrodes, and used to process information. That's not science fiction...
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EP 36: NVIDIA GTC 2026: Everything That Matters - Recapped
Jensen Huang took the stage at SAP Center in San Jose on March 16th and announced that NVIDIA now expects one trillion dollars in chip orders through 2027 — double the forecast from just one year ago. Sam breaks down the five biggest stories from GTC 2026 in under 10 minutes. In this episode: the...
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EP 35: Who Actually Controls AI? The Governance Gap Explained
There's no international treaty governing AI, no agreed definition of "safe AI," and nobody with actual authority over frontier model deployment. A handful of CEOs make decisions with civilizational implications while governance structures lag years behind. This episode examines who's responsible...
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EP 34: DeepSeek R1 vs GPT-4: The $6M Model That Changed AI Economics
In January 2025, Chinese AI lab DeepSeek released DeepSeek R1—a model matching GPT-4 class performance at a fraction of the training cost. It wiped $600 billion off NVIDIA's market cap in a single day. Twelve months later, the ripple effects are still reshaping the AI industry. This episode cuts...
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EP 33: Agents Everywhere: What Agentic AI Actually Means for Your Job
Everyone's talking about agentic AI, but there's a gap between the hype ("AI will do your job for you") and the reality, which is more nuanced and frankly more interesting. The word "agentic" has officially crossed from technical jargon into buzzword territory—simultaneously everywhere and…
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EP 32: AI Discovers Drugs: The 2026 Clinical Trial Moment for AI in Biotech
For years, AI in drug discovery has been a promise—billions invested, hundreds of papers published, dozens of startups founded, but actual drugs coming out the other end? Not yet. This is changing in 2026. Several AI-discovered drug candidates are now entering mid-to-late stage clinical trials....
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ABOUT THIS SHOW
This is an educational podcast focused on bringing academia and industry experts together in a common forum and initiate discussion geared towards data science, artificial intelligence, actuarial science and scientific research.
DISCLAIMER: The views and opinions expressed in this podcast are solely those of the host(s) or guest(s) and do not necessarily reflect the policy or position of any organization. The podcast is intended to provide general educational information and entertainment purposes only. RSSVERIFY
HOSTED BY
Soumava Dey
CATEGORIES
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