Super Data Science: ML & AI Podcast with Jon Krohn

Jon Krohn starts the month with his round-up of favorite clips from the previous month. Hear from Bradley Voytek, Natalie Monbiot, Luca Antiga, Chad Sanderson, and Ritchie Vink in conversations about the ongoing potential of AI.  Additional materials: www.superdatascience.com/834Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

Dr. Martin Goodson, CEO and Chief Scientist at Evolution AI, dives into the pitfalls of AI projects and why practitioners must engage in policy discussions. He elaborates on his viral article detailing ten key issues that lead to project failure. The conversation highlights the importance of human oversight in AI accuracy, the evolving landscape of data extraction technologies, and fostering innovation within startups. Goodson also touches on strategies for the UK to bolster its AI presence and emphasizes simplicity in project implementation.

Discover the bold vision of a techno-utopia where AI transforms society. The discussion centers on how powerful artificial intelligence could reshape healthcare, economics, and governance. Hear predictions about achieving this level of intelligence as early as 2026, along with the essential safeguards needed to navigate potential challenges. Explore the implications of such advancements and what they might mean for our future.

PyTorch Lightning is revolutionizing the AI landscape, and Dr. Luca Antiga, CTO of Lightning AI, joins host Jon Krohn to explain how. In this episode, they explore the tools pushing AI development forward, from Lightning Studios to Lit-Serve, and discuss the game-changing rise of small language models that challenge industry giants with precision and speed. Luca also shares his vision for developers in an AI-enhanced world, where coding meets creativity and collaboration with intelligent tools.This episode is brought to you by epic LinkedIn Learning instructor Keith McCormick, and by ODSC, the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.In this episode you will learn: How Lightning AI's open-source tools make AI development faster [11:30] The rise of small language models and how they'll rival LLMs [37:47] Luca's journey from biomedical imaging to deep learning pioneer [52:03] How AI will transform software developer tasks [1:03:05] Additional materials: www.superdatascience.com/831

The discussion highlights the groundbreaking Nobel Prizes awarded to AI leaders Geoffrey Hinton and Demis Hassabis in physics and chemistry. It delves into how their work is reshaping traditional scientific disciplines. The significance of these achievements reflects a notable shift in recognizing artificial intelligence's impact on various fields. The conversation provides insights into the evolving relationship between AI and conventional sciences.

In this engaging conversation, neurosurgeon Bradley Voytek, a professor at UC San Diego and former data scientist at Uber, explores the fascinating intersection of neuroscience and machine learning. He shares recent breakthroughs in brain communication and the potential of brain rhythms as diagnostic tools. The discussion also highlights essential skills for aspiring data scientists, the impact of collaborative research in neuroscience, and insights from his time developing algorithms at Uber as a startup. It's a captivating look at the future of both fields.

In this engaging conversation, Keith McCormick, Data Science Principal at Further and an expert in online education, tackles the concept of 'citizen data scientists.' He explores the impact of low-code and no-code tools on data science, emphasizing how they can empower professionals and foster collaboration with experienced data scientists. Keith also discusses the role of AutoML, clarifying its limitations and how it can complement traditional data science, rather than replace it. Tune in for insights on enhancing data governance and boosting project success!

Ritchie Vink, CEO and Co-Founder of Polars, Inc., is the creator of the Polars open-source data manipulation library. He shares insights into the impressive efficiency of Polars compared to traditional tools like Pandas. The conversation dives into the difference between eager and lazy execution modes, scalability for large datasets, and upcoming features like Polars Cloud. Ritchie also discusses the balance between maintaining open-source principles and expanding the company, teasing new functionalities that aim to refine data handling capabilities.

Julia Silge, Engineering Manager at Posit, shares insights on the development of Positron, an IDE designed specifically for data scientists' unique coding needs. Luca Anichin offers tips on enhancing machine learning models in PyTorch, stressing the balance between model and data. Marco Garelli discusses Polars, an open-source library that significantly speeds up data manipulation compared to Pandas. Mark Weissman highlights essential traits for data scientist hiring, advocating for practical skills over traditional qualifications.

Chad Sanderson, CEO of Gable.ai and an expert in data quality and governance, shares insights on the transformative power of data contracts in modern data management. He explains how these contracts clarify expectations for data quality and promote better alignment between data producers and consumers. The conversation dives into 'shifting left' practices that tackle problems early, address concerns about data debt, and the crucial role of human oversight. Chad also highlights storytelling as a tool for data teams to enhance communication and effectiveness.