DataFramed

DataCamp
undefined
38 snips
Dec 22, 2025 • 19min

#337 DataFramed, Distilled. The Best Moments of 2025 with Richie Cotton

In 2025, AI transformed data analysis from a curiosity into a powerful tool, elevating the roles of data professionals. Analysts are evolving rather than disappearing, with hybrid teams of humans and AI becoming mainstream. Communication skills are increasingly recognized as vital in this landscape. The discussion includes the importance of data quality, career fluidity, and effective data storytelling. Real-world applications span healthcare innovations to finance strategies, all highlighting the urgent need for responsible AI governance.
undefined
21 snips
Dec 15, 2025 • 1h 12min

#336 From City Sewers to Sovereign AI with Russ Wilcox, CEO at ArtifexAI

Russ Wilcox, CEO of ArtifexAI, shares his expertise on the critical issue of sovereign AI and data ownership. He discusses the U.S.-China AI race, highlighting how different strengths impact global dynamics. Wilcox defines sovereign AI and addresses the risks companies face from geopolitical shifts and regulatory fragmentation. He advocates for sensible AI policies and emphasizes the importance of transparency in data. From his roots in local infrastructure issues, he envisions using public-private partnerships to turn data into a community asset for smarter decisions.
undefined
32 snips
Dec 8, 2025 • 1h 3min

#335 Rebuilding Trust in the Digital Age with Jimmy Wales, Founder at Wikipedia

In this engaging conversation, Jimmy Wales, the founder of Wikipedia and co-founder of Fandom, delves into rebuilding trust in the digital age. He shares insights on Wikipedia’s rise through neutrality and community governance. Wales discusses the critical role of empathy and transparency in fostering meaningful digital spaces. He also contrasts Wikipedia’s constructive environment with toxic social media dynamics. Additionally, he highlights the necessity of combining human oversight with emerging AI tools to enhance information reliability.
undefined
59 snips
Dec 1, 2025 • 43min

#334 The State of Data & AI with Tom Tunguz, VC at Theory Ventures

Tomasz Tunguz, General Partner at Theory Ventures and a data-driven venture capitalist, discusses the rapid evolution of AI and its implications. He delves into how AI models like Gemini 3 are breaking performance limits and reshaping workflows through enhanced automation. The conversation covers the changing job market, urging professionals to adapt and embrace AI's capabilities. With emerging roles like forward-deployed engineers, Tunguz highlights the necessity of continuous product-market fit revalidation and the significant impact of venture capital on AI innovation.
undefined
61 snips
Nov 24, 2025 • 45min

#333 Creating an AI-First Data Team with Bilal Zia, Head of Data Science & Analytics at DuoLingo

Bilal Zia, Head of Data Science & Analytics at Duolingo, brings his expertise from Amazon and the World Bank to share insights on transforming data teams. He discusses the importance of building trust with stakeholders and embracing AI to drive business decisions. Zia explains the advantages of a hub-and-spoke organizational design for seamless collaboration and emphasizes hiring candidates who balance technical prowess with strong communication. He advocates for creating psychological safety in AI experimentation to foster innovative workflows.
undefined
66 snips
Nov 17, 2025 • 1h 5min

#332 How to Build AI Your Users Can Trust with David Colwell, VP of AI & ML at Tricentis

David Colwell, VP of AI & ML at Tricentis, brings over 15 years of experience in AI and software testing. He dives into the critical relationship between data governance and AI quality, emphasizing the risks of unregulated AI that can lead to serious errors in legal contexts. David discusses the importance of meaningful metrics over mere quantity in AI outputs and highlights innovative strategies like using critic agents for reviewing AI content. He also stresses the evolution of data governance and the need for a human touch in ensuring AI systems are both accurate and compliant.
undefined
78 snips
Nov 12, 2025 • 58min

#331 The Future of Data & AI Education Just Arrived with Jonathan Cornelissen & Yusuf Saber

Jonathan Cornelissen, Co-founder and CEO of DataCamp, and Yusuf Saber, technology leader and founder of Optima, explore the revolutionary impact of AI on personalized education. They discuss how AI tutors can rival human educators by adapting to individual learning needs at scale. Yusuf shares insights on Optima's dynamic lesson delivery model, and Jonathan highlights the importance of customizing learning experiences for organizations. The conversation also touches on future possibilities for AI in curriculum design and the expansion of learning beyond data science.
undefined
44 snips
Nov 10, 2025 • 56min

#330 Harnessing AI to Help Humanity with Professor Sandy Pentland, HAI Fellow at Stanford, Co-founder of MIT Media Lab

In this conversation with Alex 'Sandy' Pentland, a renowned computational scientist and co-founder of the MIT Media Lab, he explores how storytelling with data enables better decision-making. He discusses AI’s potential to enhance human deliberation instead of replacing it, the importance of diverse networks for innovation, and the concept of community-aware AIs that respect privacy. Pentland also emphasizes using AI to reduce polarization by revealing shared viewpoints and shares insights on AI's role in transforming communication and commerce.
undefined
55 snips
Nov 3, 2025 • 49min

#329 Building Trust in AI Agents with Shane Murray, Senior Vice President of Digital Platform Analytics at Versant Media

Shane Murray, a seasoned data executive and SVP at Versant Media, discusses the critical interplay between data quality and AI reliability. He shares cautionary tales of AI failures impacting reputations, highlighting essential data quality controls for successful implementations. Shane explains the concept of context engineering and the roles vital for developing trustworthy AI systems. He emphasizes that many AI hallucinations stem from poor data rather than just model flaws, advocating for rigorous data monitoring and clear accountability to build user trust.
undefined
109 snips
Oct 27, 2025 • 43min

#328 The Challenges of Enterprise Agentic AI with Manasi Vartak, Chief AI Architect at Cloudera

Manasi Vartak, Chief AI Architect at Cloudera, discusses the complex landscape of enterprise AI. She delves into the importance of having a robust governance framework to manage privacy and security challenges. The conversation highlights the necessity of understanding data lineage for accountability and the distinction between using private AI and cloud services. Vartak also addresses the skills needed for teams to adapt, the balance between prototyping and production, and exciting future directions for agentic AI in various industries.

The AI-powered Podcast Player

Save insights by tapping your headphones, chat with episodes, discover the best highlights - and more!
App store bannerPlay store banner
Get the app