Building AI Capability at Scale with Fractal Analytics
From The Coursera Podcast by Coursera
March 31, 2026 · 31 min · Season 1 · Episode 27
About this episode
The episode discusses building AI capability at scale with insights from Rasesh Shah of Fractal Analytics.
Artificial intelligence is moving quickly. Inside most organizations, the conversation has already moved beyond access. The challenge now is how to use these tools well—consistently, thoughtfully, and at scale. In this episode of The Coursera Podcast, Arunav Sinha and Marni Baker Stein sit down with Rasesh Shah , Chief Practice Officer at Fractal Analytics , to talk about what it actually takes to build that kind of capability. Rasesh shares how Fractal approaches learning through real business problems, why multidisciplinary teams often struggle to connect the dots, and how their 3C framework (Context, Connections, and Creativity) helps teams move from analysis to action. The conversation also gets into what leaders are wrestling with right now: how to move beyond pilots, how to measure impact, and how to turn AI momentum into something that actually improves performance. We also cover: 🧠 Where teams tend to get stuck when working with AI 🔗 Why connecting business, engineering, and data is harder than it looks 📊 The questions leaders keep coming back to on GenAI 🚀 What separates experimentation from real progress 🌍 How AI is changing the way learning is delivered and…
People in this episode
Hosts: Arunav Sinha, Marni Baker Stein
Guest: Rasesh Shah
Topics covered
- AI capability
- business problems
- multidisciplinary teams
- 3C framework
- AI impact measurement
- Generative AI
Keywords
- artificial intelligence
- learning
- business
- data science
- performance improvement
- AI tools
- team collaboration
Mentioned in this episode
Organizations: Fractal Analytics, Coursera
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