Nick Elprin talks to Jon Krohn about how and when to scale a data science team and its workflows to secure a company’s commercial viability. You’ll also hear how to launch your own data science startup and why it’s so important to understand that AI tools are not one-size-fits-all.This episode is brought to you by AWS Inferentia and AWS Trainium. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.In this episode you will learn:• How Nick served enterprises with his AI startup, Domino Data Lab [05:36]• About the Navy’s own mine detection models [17:43]• The hype surrounding GenAI [30:35]• How AI platforms integrate with business strategies [39:49]• When it’s time to integrate an AI tool into your business [51:12]• Why Nick started Domino Data Lab [1:03:53]Additional materials: www.superdatascience.com/811

Self-driving cars are here, and Jon Krohn is breaking down the five levels of automation that could change driving forever. From full human control at Level 0 to cars that drive themselves in any condition at Level 5, get the real story on what these levels mean. With firsthand insights from a recent autonomous vehicle experience, this episode cuts through the buzz and tells you what’s coming next.Additional materials: www.superdatascience.com/810Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

Shingai Manjengwa from ChainML, a pioneer in blockchain and AI, discusses the revolutionary impact of Agentic AI. He explains how AI agents are automating everyday tasks and collaborating to tackle complex problems. The conversation highlights the synergy between blockchain technology and AI, fostering transparency and trust. Listeners learn about the innovative Theoriq protocol and the transformative Council Analytics tool, which allows natural language interactions with datasets. Shingai also addresses the challenges and future of multi-agent systems.

Advice for emerging data scientists, the latest in model merging, and how GenAI can supercharge your creativity: Host Jon Krohn gives us his highlights from a month of interviews, packed with tips from some of the leading names in data science and beyond. Guests include Daliana Liu, Charles Duhigg, Charles Goddard, Rosanne Liu and Andrey Kurenkov.Additional materials: www.superdatascience.com/808Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

The singularity could soon be upon us. The PESTLE framework, developed by this episode’s guest Daniel Hulme, expresses not one but six types of singularity that could occur: political, environmental, social, technological, legal and economic. Jon Krohn and Daniel Hulme discuss how each of these singularities could bring good to the world, aligning with human interests and pushing forward progress. They also talk about neuromorphic computing, machine consciousness, and applying AI at work.This episode is brought to you by AWS Inferentia and AWS Trainium, and by Gurobi, the Decision Intelligence Leader. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.In this episode you will learn:• About the six singularities [03:43]• How the singularity could improve life on earth [09:01]• The credibility of AI experts [32:51]• How the decentralization of technology could benefit earth [43:14]• How AI might enhance creativity [1:04:33]Additional materials: www.superdatascience.com/807

Llama 3.1 is here, and it’s a game-changer. Meta’s latest AI model, especially the massive 405B variant, finally brings an open-source option to compete with giants like OpenAI's GPT-4o and Anthropic's Claude 3.5 Sonnet. While Meta didn’t fully open-source everything, the availability of "open weights" is a strategic move to shake up the AI landscape. The model boasts an impressive 128,000-token context window and multilingual support in eight languages. Meta is also focusing on responsible AI development with tools like Llama Guard 3 for content moderation. This release is more than just a tech upgrade—it's about democratizing AI and sparking innovation across industries. How will you leverage Llama 3.1 to make a real impact? Tune into this week’s FMF episode and let’s explore the future with this latest AI development together.Additional materials: www.superdatascience.com/806Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

Become a Supercommunicator! New York Times bestselling author Charles Duhigg, known for The Power of Habit and Smarter Faster Better, gets real about mastering communication in this episode. Discover insights from his latest book, Supercommunicator, where he reveals how to align conversation styles for deeper connections, handle conflicts effectively, and why AI can't replicate the emotional depth of human interactions.This episode is brought to you by Gurobi, the Decision Intelligence Leader. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.In this episode you will learn:• The inspirations behind Supercommunicator [03:41]• The three types of conversations: Practical, emotional, and social conversations [05:22]• The matching principle: Align communication styles for better connection [10:36]• What is neural entrainment: Achieve a mind meld through synchronized brain activity [13:22]• The series of steps/principles to connect with someone [24:39]• How to avoid or de-escalate conflict conversations [31:07]• The impact of GenAI on conversations: How AI mimics dialogue but lacks emotional depth [45:24]Additional materials: www.superdatascience.com/805

Solar power now provides 6% of the world's electricity, thanks to rapid growth. Host Jon Krohn discusses the factors driving this rise, the challenges ahead, and how AI and data science are optimizing solar technologies. Tune in for insights on the future of solar power, and don't forget to like, share, and subscribe!Additional materials: www.superdatascience.com/804Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

Daliana Liu is a big name in data science teaching, and she has always been generous in sharing everything she knows about getting a job in data science. In this episode, she continues to extend her generosity, helping listeners define their approach to achieving a fulfilling career in data science and tech.This episode is brought to you by AWS Inferentia and AWS Trainium, by Babbel, the science-backed language-learning platform, and by Gurobi, the Decision Intelligence Leader. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.In this episode you will learn:• Common career challenges for data scientists [34:57]• Advice for people who don’t know where to go in their career [48:05]• How to build resilience and protect against Imposter Syndrome [1:06:23]• Skills that data scientists should develop today [1:39:17]• The future of the data science and AI job market [1:46:55]Additional materials: www.superdatascience.com/803

How to grab investor interest with your AI startup idea, revisiting algorithms, and helping practitioners ensure AI safety with regulatory frameworks and beyond: This month, you missed a whole bunch of great interviews. But don’t worry, Jon Krohn is here to recap all the best bits for you!Additional materials: www.superdatascience.com/802Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.