How to start a successful tech company, and how you can get started with DBT, TabPFN and BAML: Jon Krohn rounds up his favorite moments from February in this episode of “In Case You Missed It”.Additional materials: www.superdatascience.com/868Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

The realities of Agentic AI, AGI, and chatbots that don’t hallucinate: Andriy Burkov talks to Jon Krohn about AI in 2025. Best known for his concise machine learning modelling books, author and AI influencer Andriy Burkov also talks about his latest publication in the series, The Hundred-Page Language Learning Models Book. Additional materials: www.superdatascience.com/867This episode is brought to you by the Dell AI Factory with NVIDIA. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

Jon Krohn addresses a question for the ages: How close are we, really, to Jurassic Park? Dallas-based biotech company Colossal Biosciences is developing technology that aims to return previously extinct animals like the dodo and woolly mammoth to earth and, crucially, pull many others like the white rhino back from the brink of extinction. Additional materials: www.superdatascience.com/866Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

Jon Krohn talks to Cal Al-Dhubaib about the extraordinary success of AI and machine learning solutions provider Pandata, his ironclad hack for any company to define their core values, and how to attract and secure loyal clients. Cal thinks tech professionals make two critical mistakes in their careers: The first is that they too-often enjoy being the gatekeepers of their work rather than educating their clients and coworkers as to the details of their projects and why it benefits the company. The second is that tech professionals don’t show vulnerability, whether that means not knowing a topic or not fully understanding how a business works. This issue, Cal says, can spell the difference between a startup’s success and failure. Learn how tech startups can make an ironclad strategy for their future in this episode of The SuperDataScience Podcast.This episode is brought to you 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: (09:32) How to scale a successful data science consultancy (22:25) How Pandata navigates highly regulated environments  (27:59) How to tackle tech illiteracy in business  (36:32) What skills Cals looks for in new hires  (35:56) How to sell on a tech company  Additional materials: www.superdatascience.com/865

Jon Krohn investigates OpenAI’s new release, o3-mini, in this five-minute Friday, where he walks through the reasoning model’s capabilities and performance, cross-examining them against other major-league players, DeepSeek-R1, GPT-4o and Claude 3.5 Sonnet.Additional materials: www.superdatascience.com/864Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

Jon Krohn talks tabular data with Frank Hutter, Professor of Artificial Intelligence at Universität Freiburg in Germany. Despite the great steps that deep learning has made in analysing images, audio, and natural language, tabular data has remained its insurmountable obstacle. In this episode, Frank Hutter details the path he has found around this obstacle even with limited data by using a ground-breaking transformer architecture. Named TabPFN, this approach is vastly outperforming other architectures, as testified by a write up of TabPFN’s capabilities in Nature. Frank talks about his work on version 2 of TabPFN, the architecture’s cross-industry applicability, and how TabPFN is able to return accurate results with synthetic data.This episode is brought to you 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: (05:57) All about the TabPFN architecture  (21:27) Use cases for Bayesian inference (35:07) On getting published in Nature (44:03) How TabPFN handles time series data (51:52) All about Prior Labs Additional materials: www.superdatascience.com/863

In this episode of “In Case You Missed It”, Jon Krohn shares his favorite clips from the last four weeks. He talks to Azeem Azhar, Florian Neukart, Kirill Eremenko, Hadelin de Ponteves, and Brooke Hopkins on what’s in store for AI in 2025, from quantum computing and customizable tools to handy checklists and how the mathematics of exponentials can help us keep our heads about the swift advancement of AI.Additional materials: www.superdatascience.com/862Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

How does a CrossFit winner, bobsledder and swimmer go on to have a glittering career in data analytics and engineering? Colleen Fotsch talks to Jon Krohn about transitioning into very different career paths, how sports gave her the competitive mindset she needed for success in data science, and seeing the niche role of analytics engineering as a bridge between data engineering and analysis.Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.In this episode you will learn: (05:49) Colleen’s path from athlete to data analyst (1:14:41) About the data build tool (DBT) (1:22:51) Colleen’s work at CHG Healthcare (1:32:45) How Colleen and Tia-Clair got started with PRVN GO Additional materials: www.superdatascience.com/861

DeepSeek-curious? This Five-Minute Friday is for you! Jon Krohn investigates the overwhelming overnight success of this new LLM, the product of a Chinese hedge fund. DeepSeek is a market newcomer, and yet it runs shoulder to shoulder with behemoths from OpenAI, Anthropic and Google like it’s all in a day’s work.Additional materials: www.superdatascience.com/860Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this week’s guest interview, Vaibhav Gupta talks to Jon Krohn about creating a programming language, BAML, that helps companies save up to 30% on their AI costs. He explains how he started tailoring BAML to facilitate natural language generation interactions with AI models, how BAML helps companies optimize their outputs, and he also lets listeners into Boundary’s hiring process.This episode is brought to you 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: (04:53) What BAML stands for (14:33) Making a prompt engineering a serious practice (18:00) How BAML helps companies (23:30) Using retrieval-augmented generation (RAG) (43:09) How to get a job at Boundary Additional materials: www.superdatascience.com/859