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#363 Build Your Personal Brand at Work | Dorie Clark, Executive Education Faculty at Columbia Business School
Technical skills are being commoditized faster than ever. As AI takes on more of the work that used to define a junior knowledge worker, the things that once made someone valuable are becoming table…
#362 How to Have a Machine Learning Career in 2026 | Marina Wyss, Senior Applied Scientist at Twitch
The role of the machine learning engineer is being rewritten in real time. AI coding assistants are absorbing parts of the day-to-day, planning and evaluation are eating up more of the week, and the…
#361 If You Want AI to Work, Fix This Boring Thing First with Veronika Durgin, VP of Data at Saks
Every conversation about AI in data eventually arrives at the same question: which roles survive, and which ones get automated away? Generative AI can already draft SQL, build dashboards, and run…
#360 What's Your Biggest AI Ethical Nightmare? | Reid Blackman, CEO at Virtue Consultants
Most AI ethics conversations sound the same: be fair, be transparent, be accountable. The values are right, but in practice they don't get teams out of bed in the morning. Executives nod along,…
#359 My Best Friend is AI with Valerie Tiberius, Professor of Philosophy at University of Minnesota
Valerie Tiberius is the Paul W. Frenzel Chair in Liberal Arts and Professor of Philosophy at the University of Minnesota. She is an expert in ethics, moral psychology, and well-being, and the author…
#358 How AI Agents Will Work While You Sleep | Ruslan Salakhutdinov, Professor at Carnegie Mellon
Almost every AI agent demo lands in roughly the same place: it works most of the time, looks remarkable, and then fails in a way no one anticipated. Self-driving cars hit this wall a decade ago, and…
#357 Data-Driven Workforce Analytics with Ben Zweig, CEO at Revelio Labs
The data field has changed shape faster than almost any other. The role that used to be a statistician became a data scientist, became an ML engineer, and is now morphing into AI engineer. Consulting…
#356 The Forecast for Time Series Forecasts with Rami Krispin, Senior Manager of Data Science at Apple
Time series data is everywhere — from inventory systems and energy grids to financial planning and product demand. As data volumes grow, the old ways of building individual forecasting models simply…
#355 AI's Impact on Databases with Shireesh Thota, CVP of Databases at Microsoft
Cloud data platforms now offer hundreds of services, plus a growing menu of SQL, NoSQL, and open source options. Unified environments promise a simpler path, but the hard trade-offs—consistency…
#354 Beyond BI: Decision Intelligence with Graphs with Jamie Hutton, CTO at Quantexa
Decision intelligence is showing up across data and AI teams as companies move beyond dashboards to decisions made with context. Graphs, entity resolution, and better data products are becoming core t…
#353 The Data Team's Agentic Future with Ketan Karkhanis, CEO at ThoughtSpot
Data and AI platforms are racing toward agentic and even autonomous analytics. But the bottleneck is rarely the model—it’s data readiness: governed metrics, clear metadata, and a semantic layer…
#352 AI Agents at Work: What Actually Breaks (and How to Fix It) with Danielle Crop, EVP Digital Strategy & Alliances at WNS
AI agents are spreading across the data and AI industry, promising to automate everything from research to outreach. At the same time, teams are learning that these tools can hallucinate, leak data,…
#351 Will World Models Bring us AGI? with Eric Xing, President & Professor at MBZUAI
World models are emerging as the next step after large language models, pushing AI from book knowledge toward systems that can simulate the physical and social world. Instead of just generating text…
#350 How to Make Hard Choices in AI with Atay Kozlovski, Researcher at the University of Zurich
Across the AI industry, high-stakes tools are being deployed in places where errors can harm people: sepsis alerts in hospitals, identity checks, welfare fraud detection, immigration enforcement, and…
#349 From AI Governance to AI Enablement with Stijn Christiaens, Chief Data Citizen at Collibra
Data governance has been around long enough to develop playbooks, but AI governance is evolving in real time. Industry trends like LLMs, agents, and emerging “swarms” are changing what oversight even…
#348 AI Agents in Your Systems: Speed, Security, and New Access Risks with Jeremy Epling, CPO at Vanta
Automation is moving from APIs to full “computer use,” where agents click through screens like a human. That power is transforming evidence collection, access reviews, and repetitive security tasks,…
#347 Let's Get Physical with AI with Ivan Poupyrev, CEO at Archetype AI
Physical AI is showing up across the industry as sensors, connected devices, and foundation models move from the cloud into the real world. After years of IoT wiring everything to the internet, the…
#346 Get Quantum Ready with Yonatan Cohen, CTO at Quantum Machines
Quantum computing is advancing fast, but it comes with a core industry challenge: noise. The big promise—better simulations, faster optimization, and maybe new kinds of AI—depends on quantum error…
#345 How to Drive Innovation with Brian Solis, Head of Global Innovation at ServiceNow
AI moves fast, and the news cycle can feel like a fire hose. New tools like agents and digital twins promise to help, but they also add more choices and noise. In day-to-day work, the challenge is…
#344 Governing Pandora's Box: Managing AI Risks with Andrea Bonime-Blanc, CEO at GEC Risk Advisory
AI leaders talk about innovation, but the wider reality is messy: fast change, uneven guardrails, and threats that span cyber, reputation, and customer harm. Industry-wide, organizations are shifting…
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DataFramed has published 300 episodes since May 2022, covering topics in Business, Education.
DataFramed is currently highly active with new episodes weekly. Average episode length is 46m.
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