Super Data Science: ML & AI Podcast with Jon Krohn

Jon’s continuous calendar for 2024 is here! Now in an updated format, learn about its unique layout and benefits, and how it can revolutionize your planning for the new yearAdditional materials: www.superdatascience.com/746Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

2024 data science trends take the spotlight in this special episode, where Jon joins Sadie St. Lawrence to analyze last year's predictions and delve into the emerging technologies reshaping the field. From AI hardware accelerators to the transformative role of large language models, this episode is a treasure trove of insights for anyone interested in the future of data science. This episode is brought to you by CloudWolf, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• Reviewing predictions for 2023 [05:56]• Sadie's trend predictions for 2024 [20:49]• 1: Hardware evolution [21:17]• 2: LLMOS [35:30]• 3: Slow-thinking model [48:18]• 4: Tool consolidation [54:46]• 5: Workforce Upheaval [58:06]• Jon's predictions [1:06:26]• 1: AI bubble bursting [1:08:11]• 2: Breakthroughs in Edge AI [1:12:22]• Sadie on her productivity planner [1:17:50]Additional materials: www.superdatascience.com/745

2023: A year of great movement and change. Technological developments have rocketed generative AI’s capabilities into the stratosphere of possibilities for future approaches to work, health, and play. Host Jon Krohn recognizes the benefits we have seen over the past year, discusses the important role we all have in ensuring ethics remains at the core of AI development and use, and he ends the year with a musical surprise for his listeners!Additional materials: www.superdatascience.com/744Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

Chatbots, large language models and generative AI: Founder of Quickchat AI Piotr Grudzień believes the key to any successful AI platform is to ensure it can be tailored to a company’s specific needs. He speaks to host Jon Krohn about helping clients generate realistic and satisfying conversations that help their customer base find what they need quickly.This episode is brought to you by Gurobi, the Decision Intelligence Leader,  and by CloudWolf, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• About Quickchat AI and how it works [02:46]• How to successfully set up a conversational AI [23:58]• What “temperature” is in the context of AI [38:38]• How the LLM landscape has changed in recent years [40:24]• The future of generative AI [57:43]• The advantages of an AI accelerator [1:09:38]Additional materials: www.superdatascience.com/743

Join us on a brief journey through the AI world in 2023. A year ago, GPT-3.5 crafting our holiday message was a marvel, but now, with GPT-4's arrival, we're seeing an even more astounding evolution in AI. As we wave goodbye to the trend of generative AI, the Super Data Science Podcast team is bringing a personal touch back. Tune in for our heartfelt Happy Holidays message and a big thank you to all our listeners for your unwavering support.Additional materials: www.superdatascience.com/742Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

Data visualization remains at the forefront as Dr. Alberto Cairo from the University of Miami guides us beyond numerical figures, exploring the art of weaving compelling narratives through data. In his book, "The Art of Insight," he reveals the varied motivations driving visualization experts and highlights the serene, meditative process inherent in crafting visualizations. Emphasizing the fusion of scientific principles and personal style for effective data communication, Dr. Cairo also discusses with Jon the impending impact of AI on both interactive and static graphics.This episode is brought to you by Gurobi, the Decision Intelligence Leader, by Intel and HPE Ezmeral Software Solutions, and by CloudWolf, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• Alberto's book, The Art of Insight [04:07]• How to transform data into engaging visuals [07:06]• What it takes to enter in a meditation-like flow state when creating visualizations [11:21]• How balancing the science of visualization with one’s personal style [29:29]• The importance of Smart Brevity for great data visualizations [37:32]• How data visualization can drive social change [42:31]• How diversity in designers enriches the field [52:07]• The future of data visualizations [59:10]Additional materials: www.superdatascience.com/741

Sam Altman’s exit and rehiring, AGI, and OpenAI’s Q*: In this week’s Five-Minute Friday, Jon Krohn peeks behind the curtains of OpenAI, where development of the world’s first model that can solve complex, nonlinear logical problems, Q*, might be well underway. This episode casts light on the rumors behind OpenAI’s Q*, what its emergence could mean for the future of AI, and the controversies already surrounding an agent that has not yet reached the market.Additional materials: www.superdatascience.com/740Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

AI Protein design, machine learning and cancer care, and pharmaceuticals: At Exazyme, CEO and Co-Founder Ingmar Schuster uses AI to design proteins. He speaks with Jon Krohn about their wider applications in pharmaceuticals and chemistry, how Kernel methods make the design of synthetic biological catalysts more efficient, and when to use shallow machine learning over deep learning.This episode is brought to you by Gurobi, the Decision Intelligence Leader. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• On designing proteins with AI [03:14]• Designing proteins at Exazyme [08:22]• About the kernel methods [18:10]• The importance of human-led approaches in protein research [35:44]• Europe’s focus on AI regulation [43:45]• Deep vs shallow in AI [59:35]• How a background in academia helps with entrepreneurship [1:09:17]Additional materials: www.superdatascience.com/739

Bioengineering and Generative AI converge under the visionary leadership of Dr. Pierre Salvy at Cambrium GmbH, propelling material science into uncharted territories. He sits down with Jon Krohn live at Merantix A.I. Campus in Berlin to discuss how he's transforming material design, exemplified by his swift development of NovaColl, a vegan collagen crafted within two years.Additional materials: www.superdatascience.com/738Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

scikit-learn co-founder Gaël Varoquaux and Jon Krohn are live at the historic Sorbonne in Paris, where they discuss the evolution of scikit-learn. From its origins as a memory-efficient Python implementation of support vector machines to its present-day status as a pivotal resource in machine learning, Gaël paints a vivid picture of its remarkable growth. Join us for a glimpse into scikit-learn's evolution, the realm of open-source collaboration, and the transformative power of data-driven insights in today's dynamic data landscape.This episode is brought to you by Gurobi, the Decision Intelligence Leader, by Data Universe, the out-of-this-world data conference, and by CloudWolf, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:• The early beginnings and growth of scikit-learn [05:34]• Development principles of scikit-learn [18:05]• How to apply scikit-learn to your ML problem [21:16]• Resource-efficiency and scikit-learn development [25:32]• How to contribute to an open-source project like scikit-learn yourself [38:21]• The future of scikit-learn [51:13]• Gaël on the social-impact data projects in his Soda lab [1:02:33]• Why domain expertise and statistical rigor are more important than ever [1:11:24]Additional materials: www.superdatascience.com/737