DataFramed

DataCamp
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40 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.
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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.
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57 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.
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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.
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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.
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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.
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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.
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38 snips
Oct 20, 2025 • 55min

#327 Building a Sales and Marketing Capability for Data Applications with Denise Persson, CMO at Snowflake, and Chris Degnan, former CRO at Snowflake

Denise Persson, CMO at Snowflake, has two decades of tech marketing experience, while Chris Degnan, former CRO, scaled Snowflake's revenue significantly. They discuss the critical alignment between sales and marketing for growth, sharing insights on identifying ideal customer profiles and leveraging data signals. Denise highlights the importance of a unified data platform for AI, while Chris emphasizes hiring traits that foster scalability. They also explore using predictive forecasting and AI to enhance marketing strategies and resource allocation.
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158 snips
Oct 13, 2025 • 57min

#326 Is the Data Analyst Role Dying Out? with Mo Chen, Data & Analytics Manager at NatWest Group

Mo Chen, Data & Analytics Manager at NatWest Group, discusses the evolving role of data analysts amidst AI advancements. He emphasizes that while AI can automate coding and tasks, human insight into complex business issues remains irreplaceable. Mo details essential skills for today’s data professionals, like domain expertise and effective communication. He highlights the importance of using AI as a tool, not a threat, and shares tips for building impactful data portfolios, navigating the hiring landscape, and leveraging soft skills in the workplace.
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58 snips
Oct 6, 2025 • 43min

#325 Using Data to Master the Cycles of Leadership with Carolyn Dewar, Global Practice Leader at McKinsey

Carolyn Dewar, a Senior Partner at McKinsey and co-leader of the firm's CEO Practice, advises top leaders on strategy and organizational change. In this discussion, she emphasizes the critical balance between data and human insight in leadership. Carolyn outlines the six core responsibilities of CEOs and highlights how they can leverage data for strategy and talent decisions. She also shares insights on fostering a data-driven culture, identifying blind spots, and the importance of continuous learning to drive meaningful change.

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