

DataFramed
DataCamp
Welcome to DataFramed, a weekly podcast exploring how artificial intelligence and data are changing the world around us. On this show, we invite data & AI leaders at the forefront of the data revolution to share their insights and experiences into how they lead the charge in this era of AI. Whether you're a beginner looking to gain insights into a career in data & AI, a practitioner needing to stay up-to-date on the latest tools and trends, or a leader looking to transform how your organization uses data & AI, there's something here for everyone.
Join co-hosts Adel Nehme and Richie Cotton as they delve into the stories and ideas that are shaping the future of data. Subscribe to the show and tune in to the latest episode on the feed below.
Join co-hosts Adel Nehme and Richie Cotton as they delve into the stories and ideas that are shaping the future of data. Subscribe to the show and tune in to the latest episode on the feed below.
Episodes
Mentioned books

13 snips
May 12, 2026 • 44min
#359 My Best Friend is AI with Valerie Tiberius, Professor of Philosophy at University of Minnesota
Valerie Tiberius, philosophy professor at the University of Minnesota who studies ethics, moral psychology, and well-being. She explores whether AI can replicate friendship. Short takes cover chatbots easing loneliness, sycophantic AI that distorts advice, risks for children’s social learning, ethical design that nudges real human contact, and using AI to coach skills and stretch learning.

51 snips
May 4, 2026 • 58min
#358 How AI Agents Will Work While You Sleep | Ruslan Salakhutdinov, Professor at Carnegie Mellon
Ruslan Salakhutdinov, UPMC Professor at Carnegie Mellon and former AI research lead at Apple and Meta, joins to explore agentic AI. He discusses promising use cases like coding and web agents. They cover long‑horizon tasks, credit assignment and rubric‑based training. Conversation touches on multi‑agent designs, human‑in‑the‑loop workflows, safety guardrails, and lessons from self‑driving cars.

46 snips
Apr 27, 2026 • 58min
#357 Data-Driven Workforce Analytics with Ben Zweig, CEO at Revelio Labs
Ben Zweig, CEO and co-founder of Revelio Labs and NYU Stern instructor, unpacks workforce intelligence and job taxonomies. He discusses hiring as a two-sided, information-poor market. Jobs as bundles of tasks, not just skills. How billions of postings become universal taxonomies. Which data roles grow or face automation and when traditional NLP still outperforms LLMs.

24 snips
Apr 20, 2026 • 54min
#356 The Forecast for Time Series Forecasts with Rami Krispin, Senior Manager of Data Science at Apple
Rami Krispin, Senior manager of data science and engineering at Apple who builds production forecasting systems and teaches time series, joins to discuss scaling forecasts across many products. He covers foundation models for time series, when to trust automation versus manual feature engineering, backtesting and model selection, production pipelines and monitoring, and how to communicate forecast uncertainty to stakeholders.

31 snips
Apr 13, 2026 • 53min
#355 AI's Impact on Databases with Shireesh Thota, CVP of Databases at Microsoft
Shireesh Thota, CVP leading Azure Databases and App Development with 20+ years building scale-out systems. He discusses how AI agents reshape data stacks and reasoning over unified data. He explains why platforms like Fabric matter, trade-offs between SQL and NoSQL, semantic models to prevent hallucinations, and tools for monitoring and operational intelligence.

40 snips
Apr 6, 2026 • 46min
#354 Beyond BI: Decision Intelligence with Graphs with Jamie Hutton, CTO at Quantexa
Jamie Hutton, Co-founder and CTO at Quantexa, pioneers entity resolution and decision intelligence for risk and compliance. He discusses using graphs to link messy, siloed data and enrich records with third-party sources. Short takes cover graph analytics for fraud, grounding LLMs with contextual graphs, and operationalizing investigations and human-in-loop workflows.

62 snips
Mar 30, 2026 • 50min
#353 The Data Team's Agentic Future with Ketan Karkhanis, CEO at ThoughtSpot
Ketan Karkhanis, CEO of ThoughtSpot and former Salesforce analytics leader, discusses agentic analytics and how agents can draft metadata, propose models, and build dashboards. Short sentences highlight role shifts toward semantics, governance, and agent design. He focuses on trust, transparency, quick ROI pilots, and practical agent use cases in meetings and sales.

73 snips
Mar 23, 2026 • 56min
#352 AI Agents at Work: What Actually Breaks (and How to Fix It) with Danielle Crop, EVP Digital Strategy & Alliances at WNS
Danielle Crop, EVP of Digital Strategy & Alliances at WNS and former Chief Data Officer at American Express and Albertsons, guides a pragmatic take on AI agents. She discusses ring-fencing experiments, avoiding hallucinations, balancing curiosity with critical checks. Conversations cover data access choices, token costs, tone controls, governance for unstructured data, and tying AI plans to P&L.

39 snips
Mar 16, 2026 • 1h 4min
#351 Will World Models Bring us AGI? with Eric Xing, President & Professor at MBZUAI
Eric Xing, President of MBZUAI and leading ML researcher, explains world models as simulators that move AI from book knowledge to physical and social skills. He discusses long-horizon planning, architectures like PAN that mix symbolic and generative components, evaluation beyond pixel fidelity, robotics and driving use cases, synthetic data and virtual cells for science, and the push for open K2 Think models.

38 snips
Mar 9, 2026 • 1h 10min
#350 How to Make Hard Choices in AI with Atay Kozlovski, Researcher at the University of Zurich
Atay Kozlovski, a postdoctoral researcher in AI ethics at the University of Zurich, studies normative ethics, meaningful human control, and deepfakes. He discusses automation and algorithmic bias, when people fail to override AI, and the risks of high‑stakes systems in healthcare, welfare, and immigration. He also tackles deepfakes, consent for digital recreations, and why cautious, risk‑averse design matters.


