Super Data Science: ML & AI Podcast with Jon Krohn

Jon Krohn
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51 snips
Sep 30, 2025 • 1h 19min

927: Automating Code Review with AI, feat. CodeRabbit’s David Loker

David Loker, Director of AI at CodeRabbit, discusses automating code reviews with AI, emphasizing its role in improving developer workflows. He explains how CodeRabbit offers real-time feedback, tackling the challenges of agentic AI and context engineering. Loker shares insights on 'vibe coding', the future of AI creativity, and the importance of privacy with zero-data-retention policies. He also contrasts traditional and modern coding productivity measures, advocating for a holistic approach to developer satisfaction beyond just lines of code.
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24 snips
Sep 26, 2025 • 5min

926: AI is Disrupting the Legal Industry: Are Paralegals Doomed?

AI is transforming the legal landscape by automating contract reviews and legal research. Rather than replacing lawyers, it augments their capabilities, allowing them to focus on more complex tasks. Paralegals are adapting to this shift by becoming legal technologists, managing AI tools and workflows. New roles in compliance and AI regulation are emerging, emphasizing human judgment. Startups like Harvey and CoCounsel are leading the charge in legal AI innovation, signaling a dynamic future for the industry. Embracing these technologies is crucial for staying competitive.
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59 snips
Sep 23, 2025 • 1h 10min

925: AI, Automation and the Future of Work, with Oxford’s Prof. Carl Benedikt Frey

Carl Benedikt Frey, an Oxford economist and researcher, discusses his latest book, How Progress Ends, exploring the relationship between technology and economic systems. He delves into the challenges of job displacement by AI and the role of weak social ties in driving innovation. Frey also highlights the struggle of large incumbents to innovate versus lobby, and suggests ways for workers to future-proof their careers amidst rapid automation. His insights urge a shift in protective policies that focus on people, not just jobs.
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32 snips
Sep 19, 2025 • 5min

924: 95% of Enterprise AI Projects Fail (Per MIT Research)

A recent report reveals that a staggering 95% of enterprise AI projects are failing to deliver returns on massive investments. The findings highlight high pilot adoption rates but dismal scaling success. Critics argue that the figure may be inflated, while successful projects share common traits like learning models and proper integration. The discussion offers insightful strategies on how to navigate the AI landscape effectively and avoid the pitfalls that many businesses face.
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141 snips
Sep 16, 2025 • 1h 4min

923: Graph Algorithms, GraphRAG and Causal Graphs, with Graph Guru Amy Hodler

Join graph analytics expert Amy Hodler, Founder of Graph Geeks, as she uncovers the surprising power of graphs beyond traditional data. Delve into how graphs can reveal fraudulent behaviors, and explore their applications in cybersecurity and supply chain analysis. Amy also discusses the potential of retrieval augmented generation (RAG) and its enhancements through graph algorithms for AI. Plus, discover how the graph community is evolving and the future innovations shaping this exciting field.
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85 snips
Sep 12, 2025 • 28min

922: AI for Manufacturing and Industry, with Hugo Dozois-Caouette

Hugo Dozois-Caouette, Co-founder and CTO of MaintainX, dives into how his startup is transforming industrial operations with cutting-edge AI. He shares insights on securing $100 million in venture capital and the critical role of digitizing maintenance systems to boost efficiency. The conversation highlights the challenges in embracing technology within manufacturing and the importance of making data accessible to non-technical users. Hugo also discusses the impact of predictive analytics in preventing equipment failures and optimizing operations.
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39 snips
Sep 9, 2025 • 1h 12min

921: NPUs vs GPUs vs CPUs for Local AI Workloads, with Dell’s Ish Shah and Shirish Gupta

Ish Shah and Shirish Gupta from Dell Technologies share their expertise in AI hardware innovation. They explore the competitive landscape of NPUs versus GPUs and the advantages of using Windows for AI development. Listeners learn about Dell's cutting-edge products, including the new Pro Max mobile workstation with a discrete NPU. The conversation delves into optimizing local versus cloud AI workloads, decision-making in hardware investments, and the importance of future-proofing technology for evolving AI applications.
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12 snips
Sep 5, 2025 • 22min

920: In Case You Missed It in August 2025

Discover the evolving landscape of large language models and the critical post-training phase that enhances their capabilities. Gain insights into troubling AI behaviors like blackmail and the importance of user security. Learn about a comprehensive AI engineering bootcamp that prepares aspiring engineers for real-world challenges. Plus, explore Marimo, a tool that revolutionizes data workflows, promoting seamless collaboration and efficiency in AI projects.
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83 snips
Sep 2, 2025 • 1h 30min

919: Hopes and Fears of AGI, with All-Time Bestselling ML Author Aurélien Géron

Aurélien Géron, author of 'Hands-On Machine Learning,' shares his journey and insights into the fourth edition of his bestselling book. He discusses the pivotal shift from TensorFlow to PyTorch, emphasizing hands-on learning for innovation. Aurélien expresses both hopes and fears regarding AGI, addressing ethical dilemmas and alignment challenges. He also highlights the urgency of aligning AI with human values, reflecting on its potential transformative role in education and society. This engaging conversation balances optimism with caution in AI's rapidly evolving landscape.
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79 snips
Aug 29, 2025 • 9min

918: Multi-Agent Systems with CrewAI

Discover the innovative CrewAI, an open-source Python framework for creating multi-agent teams that tackle complex challenges. Learn how these specialized agents collaborate and iterate to refine their approaches over time. The discussion highlights the efficiency and productivity boosts achieved through automation and collaboration. Dive into the exciting applications of these multi-agent systems across various fields, including software development and content creation, while also examining the importance of governance in their implementations.

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