Famed futurist Azeem Azhar talks to Jon Krohn about the #futureofAI as a force for good, how we can stay mindful of an evolving #jobmarket, and Azeem’s favorite tools for automating his workflows. Watch the episode here: bit.ly/sdsp855 Thanks to Open Data

Famed futurist Azeem Azhar talks to Jon Krohn about the #futureofAI as a force for good, how we can stay mindful of an evolving #jobmarket, and Azeem’s favorite tools for automating his workflows. Watch the episode here: bit.ly/sdsp855 Thanks to Open Data

Brooke Hopkins speaks to Jon Krohn about technology’s new frontiers in #AIagents, how these agents will impact society, work and our creative enterprises, and what this might mean for our data-driven future. Watch the episode here: bit.ly/sds857 Thanks to Open

LLM and model API users: In this week’s guest interview, Vaibhav Gupta talks to Jon Krohn about creating a programming language that helps companies save up to 30% on their #AI costs. Watch the episode here: bit.ly/sds859 Thanks to Open Data Science Conference

Shirish Gupta speaks to Jon Krohn about neural processing units and what makes them a go-to tool for #AI inference workloads, reasons to move your workloads from the cloud and to your local devices, what the mnemonic AIPC stands for and why it will soon be on everyone’s

Greg Michaelson speaks to Jon Krohn about the latest developments at Zerve AI, an operating system for developing and delivering data and #AIproducts, including a revolutionary feature allowing users to run multiple parts of a program’s code at once and without extra costs.

Emily Webber speaks to Jon Krohn about her work at Amazon Web Services, from its Annapurna Labs-developed Nitro System, a foundational technology that can enhance securities and performance in the cloud and how Trainium2 became AWS’ most powerful AI chip with four times the

Sama Bali and Logan Lawler talk to Jon Krohn about their respective work at tech giants NVIDIA and Dell Technologies, from the next-gen #BlackwellGPUs to their collaboration with Dell in launching #ProMaxPCs specially designed to take on heavy computational workloads; a must for

Jeroen Janssens and Thijs Nieuwdorp are data frame library Polars’ greatest advocates in this episode with Jon Krohn , where they discuss their book, Python Polars: The Definitive Guide, best practices for using Polars, why Pandas users are switching to Polars for data

Find out the latest in #VR and immersive experiences with Mary S. in discussion with Jon Krohn. Watch the episode here: bit.ly/sdsp889

Martin Brunthaler talks to Jon Krohn about founding Adverity, a data analytics platform for marketing that simplifies integrating data from multiple sources and crunching them into actionable insights. Watch the episode here: bit.ly/sdsp891

Avery Smith, Founder of Data Career Jumpstart, speaks to Jon Krohn about how to get a #datascience #career quickly, from strategic paths to entry-level roles to creating solid portfolio projects that companies want to see. Watch the episode here: bit.ly/sds893

Head of AIX Ventures shaunbjohnson talks to Jon Krohn about investment strategies, how to simplify AI adoption, why a little competition can be so beneficial to AI startups, and how Big Tech is circumventing anti-monopoly measures. Watch the episode here:

In this episode, Kirill Eremenko returns to the podcast to speak to Jon Krohn about SuperDataScience subscriber success stories, where to focus in a field that is evolving incredibly quickly, and why in-person working and networking might give you the edge over other

Senior Director of AI Labs for Lilith Bat-Leah speaks to Jon Krohn about the ways AI have disrupted the legal industry using #LLMs and retrieval-augmented generation (RAG), as well as how the data-centric machine learning research movement (DMLR) is systematically improving

Sinan Ozdemir speaks to Jon Krohn about the means we have to evaluate AI, from the limitations of current #AI benchmarking to helping organizations find reliable ways to evaluate the #LLMs they use. Watch the episode here: bit.ly/sdsp903

Sebastian Gehrmann speaks to Jon Krohn about his latest research into how retrieval-augmented generation (RAG) makes #LLMs less safe, the three ‘H’s for gauging the effectivity and value of a #RAG, and the custom guardrails and procedures we need to use to ensure our RAG is

Zohar Bronfman speaks with Jon Krohn about the fascinating intersection between computational neuroscience and philosophy, and how it has brought him closer to understanding what is necessary to develop human-like intelligence in machines, as well as his motivations for

Robert Osazuwa Ness talks to Jon Krohn about how to achieve causality in #AI with correlation-based learning, the right libraries, and handling statistical inference. Watch the episode here: bit.ly/sds909

Julien Launay launched Adaptive to give data science teams in business enterprises their “RLOps tooling” to make reinforcement learning easier. Talking to Jon Krohn, Julien says, “Most of our users are data scientists who write Python codes to interface with the system”.