Super Data Science: ML & AI Podcast with Jon Krohn
Jon Krohn
The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Scie...
872: Microsoft’s “Majorana 1” Chip Brings Quantum ML Closer
In this five-minute Friday, Jon Krohn looks into Microsoft’s recent release of Majorana 1, a new quantum processing unit that uses topological qubits, a step away from the fragile qubits currently in use. Get Jon’s thoughts about this “transistor for the quantum age”, potential applications for quantum computing, and why this marks an exciting future for data science and machine learning practitioners.
Additional materials: www.superdatascience.com/872
Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.
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12:20
871: NoSQL Is Ideal for AI Applications, with MongoDB’s Richmond Alake
Agentic AI, AI success strategies, and why flexibility will be so important to keep up with the AI market: Jon Krohn talks to Richmond Alake about the NoSQL database MongoDB, including why it’s a great addition to your toolkit for developing (agentic) AI applications, with a look under the hood at its native vector database. Richmond also talks about why he expects multi-agent AI architectures to go mainstream in 2025.
Additional materials: www.superdatascience.com/871
This episode is brought to you by the Dell AI Factory with NVIDIA and by ODSC, the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.
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1:13:11
870: OpenAI’s “Deep Research”: Get Days of Human Work Done in Minutes
In this Five-Minute Friday, Jon Krohn looks into what he considers the world’s most powerful research tool to date, OpenAI’s Deep Research. Find out how OpenAI trained Deep Research to compile literature reviews of limitless topics, what similar tools are on the market, and where Jon sees the tool as having real-world value including how he uses it daily.
Additional materials: www.superdatascience.com/870
Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.
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17:22
869: AI Should Make Humans Wiser (But It Isn’t), with Varun Godbole
Jon Krohn talks to Varun Godbole about AI prompt engineering, generative wisdom, and AI generalists in this episode all about the interrelationships between humans and AI.
Additional materials: www.superdatascience.com/869
This episode is brought to you by the Dell AI Factory with NVIDIA and by ODSC, the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.
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1:19:42
868: In Case You Missed It in February 2025
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/868
Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.
Acerca de Super Data Science: ML & AI Podcast with Jon Krohn
The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast. As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact.
Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy.
We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.
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