Super Data Science: ML & AI Podcast with Jon Krohn

In this discussion, Mike Pell, Director of the Microsoft Garage and inventor of the PDF, delves into fostering a culture of innovation at Microsoft. He highlights the transformative power of agentic AI as proactive collaborators in the workplace. Mike emphasizes the need for curiosity and experimentation among employees to drive innovation. Listeners learn about the exciting potential of AI co-pilots in enhancing productivity while navigating the future landscape of work—where humans and AI work together to tackle tedious tasks and unleash creativity.

In this discussion, John Roese, Global CTO and Chief AI Officer at Dell Technologies, explores the future of work through multi-agent teams and agentic AI systems. He emphasizes the importance of ROI in AI projects and how these technologies can reshape industries and job roles. Roese highlights the role of quantum computing in driving innovation and the need for new standards in security and collaboration. The conversation also touches on emerging careers in tech, revealing how AI will foster new opportunities and redefine the workforce.

Sama Bali from NVIDIA shares insights on AI software stacks, focusing on the power of CUDA and the innovative NIME microservices that simplify AI development. Emily Weber, an AWS Principal Machine Learning Specialist, discusses specialized AI accelerators like Graviton and Tranium 2 chips, spotlighting their impact on enterprise applications. They dive into the future of AI deployment, addressing challenges data scientists face and the shift from cloud reliance to on-device AI solutions, revealing exciting trends in model integration and performance efficiency.

Jeroen Janssens, a Senior Developer Relations Engineer at Posit and author, teams up with Thijs Nieuwdorp, a data scientist at Zomnia, to discuss their book on the Polars library. They dive into why data scientists are migrating from Pandas to Polars, highlighting its efficiency in memory usage and processing speed. The duo shares best practices for using Polars, the benefits of collaboration with NVIDIA and Dell, and the transformative impact of the Great Tables package on data presentation. Their insights will leave you eager to enhance your data manipulation skills!

Dive into the buzz surrounding the Model Context Protocol (MCP), a groundbreaking tool by Anthropic that’s taken the community by storm. With over 1,000 MCP servers now operational, Jon Krohn breaks down its revolutionary role in AI integration. Discover the transformative potential of MCP for dynamic tool usage, along with the hurdles still facing its implementation. Learn why this innovative framework is capturing the attention of developers and enthusiasts alike!

Join Sama Bali, an AI solutions leader at NVIDIA, and Logan Lawler, who heads Dell Pro Max AI Solutions, as they unveil the impressive Blackwell GPUs designed to elevate AI-model training at your desk. They discuss the collaboration that birthed Dell’s Pro Max PCs, catering specifically to data scientists. Tune in as they share insights on transitioning from Unix to Windows systems, the expanding accessibility of AI tools, and their predictions for the future of AI technology, making complex innovations easier and more powerful for everyday users.

Discover how ASML has become the powerhouse behind lithography machines essential for AI chip production. Learn about the intricate technologies involved and the fierce competition they face from rivals like China and Canon. Explore ASML's future plans and their critical influence on the evolution of AI. This captivating insight into semiconductor manufacturing highlights both the challenges and advancements transforming the industry.

Emily Webber, Principal Solutions Architect at AWS, shares insights into cutting-edge AI hardware. She discusses the impressive specs of Trainium and Trainium2, highlighting how they outperform traditional GPUs. Learn about the AWS Neuron SDK and its customization options for AI frameworks. Emily explains the Nitro System's role in enhancing cloud performance and security. Listeners will discover the criteria for choosing between AWS’s accelerators and the importance of tailored AI infrastructure for effective model training.

Dive into the explosive growth of AI in China, spotlighting Manus AI and DeepSeek's impact. These technologies are gaining traction for their cost-effectiveness compared to their U.S. counterparts. Explore the economic implications for the Chinese market and the hurdles they face, including semiconductor shortages and geopolitical tensions. Discover what factors turn technological hype into lasting success.

In this session, Greg Michaelson, Co-founder of Zerve and former Chief Customer Officer at DataRobot, sheds light on innovative features like the fleet parallelization for efficient coding. He discusses how AI tools, especially large language models, might threaten existing SaaS companies. Greg's unique ‘good-cop, bad-cop’ approach enhances LLM responses, and he dives into the potential of retrieval-augmented generation (RAG) for powerful AI applications. He provides insights into the future of developer workflows and the rising need for flexible AI solutions.