Prateek Joshi

Infinite Curiosity Pod with Prateek Joshi

The best place to find out how AI builders build. The host Prateek Joshi interviews world-class AI founders and VCs on this podcast. You can visit prateekj.com to learn more about the host.

Author

Prateek Joshi

Category

Technology

Podcast website

www.buzzsprout.com

Latest episode

Feb 6, 2026

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Episodes

Building a global community for women in AI and tech | Sadie St. Lawrence 01.09.2022

Sadie St. Lawrence is the Founder and CEO of Women in Data, the #1 Community for Women in AI and Tech. It has over 20,000 individuals and has representation in 17 countries and 50 cities. She has trained over 350,000 people in data science. Her work has been featured in USA Today. And she's the recipient of the 10 Most Admired Business Women to Watch in 2021. In this episode, we cover a range...

Growing from 0 to 775,000 YouTube subscribers by teaching ML and statistics | Joshua Starmer 29.08.2022

Joshua Starmer is the founder and CEO of StatQuest. He makes online educational materials to teach data science, machine learning, and statistics. His YouTube channel has 775,000 subscribers. He was previously an Asst Professor at University of North Carolina, Chapel Hill. He has a PhD in biomathematics, bioinformatics, and computational biology.  In this episode, we cover a range of topics includ...

Building low-code ML tools, being a second-time founder | Tommy Dang 22.08.2022

Tommy Dang is the cofounder and CEO of Mage, a collaborative AI tool for product developers. They've raised a $6.3M seed round led by Gradient Ventures. Prior to this, he was a machine learning engineer at Airbnb for 5.5 years. He was previously the cofounder of OnMyBlock and has a bachelors degree from UC Berkeley.  In this episode, we cover a range of topics including: - Building low-code M...

Investing in ML and Data startups, Understanding the modern data stack | Chad Sanderson 15.08.2022

Chad Sanderson is the Head of Data at Convoy. He is a scout for Sequoia Capital investing in ML and data startups. He has previously been a scout for Cowboy Ventures and Innovation Endeavors. He's been an advisor to Tola Capital and an LP to Essence Venture Capital. He is a prolific builder of products. And has built everything from feature stores, experimentation platforms, streaming platfor...

AI in pharma, Building products for pharma vs bio vs healthcare | John Thompson 08.08.2022

John Thompson is the Global Head of AI and Rapid Data Lab at CSL Behring. It's a $10B global biopharma company. Second largest of its kind in the world. It manufactures products to treat rare diseases like hemophilia. He's a best selling author of books like Data For All, Building Analytics Teams, and Analytics: How to win with intelligence.  In this episode, we talk about: - AI in pharm...

Active Learning in ML, DataPrepOps, Carbon footprint of AI systems | Jennifer Prendki 01.08.2022

Jennifer Prendki is the founder and CEO of Alectio. They're pioneering the DataPrepOps space and building technology to help companies do Machine Learning more efficiently, in particular with less data. She's a keynote speaker and has spoken at most major conferences in the field. She has a PhD in Particle Physics and has built a phenomenal career. In this episode, we talk about: - DataP...

Telling stories WITH data vs ABOUT data | Scott Taylor 28.07.2022

Scott Taylor runs MetaMeta Consulting and is the author of the book Telling Your Data Story. He is one of the most prolific speakers and writers on the topic of data management. He's been on DataIQ 100, Thinkers360 Top 10, and a Dataversity Top 10 Blogger. He was at Nielsen for 14 years and has a degree from UC Berkeley. In this episode, we cover a range of topics including: - Master data man...

Upskilling, learning, and keeping yourself relevant as a data practitioner | Matt Harrison 25.07.2022

Matt Harrison is a world-renowned expert on Python and Data Science. He has a CS degree from Stanford University. He is a best-selling author on Python and Data subjects. He is the author of books such as Effective Pandas, Illustrated Guide to Learning Python 3, Intermediate Python, Learning the Pandas Library, and Effective PyCharm. They've ALL been best-seller on Amazon. He is an advisor to...

Ben Taylor on metaheuristics, AI teaching AI, genetic programming, impact of generative AI on art, building startups, and what it means to be the first data scientist at a company 21.07.2022

Ben Taylor is the Chief AI Evangelist at DataRobot. He's a veteran thought leader on AI with over 16 years of experience. He was at Intel and Micron working on photolithography, process control, and yield prediction groups. He joined an AI hedge fund as an expert in high performance computing and AI, where he built models using a cluster of 600 GPUs. He then joined a young HR startup called H...

Srinath Sridhar on the 0-to-1 journey of building ML products 18.07.2022

Srinath Sridhar is the cofounder and CEO of Regie.ai where they're building a content platform for modern revenue teams. He was one of the first 100 engineers of Facebook. He was a member of the founding team at Bloomreach where he built v1 of many of their products. He was the cofounder and CTO of Onera, which recently got acquired by Accel KKR / Toolsgroup. He's also an investor in man...

What's new in ML: Space telescope, rare earth elements, universal speech translator, quantitative reasoning, quantum computing, robots handling deformable material, and how AI systems can explain a piece of code. 14.07.2022

In this episode, Prateek Joshi talks about: - Images captured by James Webb space telescope - Discovery of rare earth elements in Turkey - Meta's large language model NLLB-200 that can translate 200 languages - Minerva: Google's AI system that can solve quantitative reasoning problems - Google demonstrates quantum advantage for machine learning - MIT and Stanford researchers show how rob...

Adam Sroka on how energy markets work, where renewable energy fits in, software engineering, data scientists, and using machine learning for climate problems 11.07.2022

Adam Sroka is the Head of Machine Learning Engineering at Origami Energy where he's helping build a green energy world. Their trading and automation software enables energy companies to harness the commercial opportunities of the global energy transition. He is an experienced AI leader helping organizations unlock value from data and build high-performing teams from the ground up. He shares h...

Doug Laney on infonomics, data monetization patterns, quantifying data's economic value, collateralizing data, and insuring data. 06.07.2022

Doug Laney is the Data & Analytics Strategy Innovation Fellow at West Monroe Partners. He consults to business, data, and analytics leaders on conceiving and implementing new data-driven value streams. He originated the field of infonomics and authored the best-selling book Infonomics. He is a three-time Gartner annual thought leadership award recipient, a World Economic Forum advisor, a Forbe...

What's new in ML: The question of whether AI is sentient, NASA's helicopter on Mars, Yann LeCun's recent proposal on Autonomous Machine Intelligence, Amazon's AI-powered coding assistant, and a reconfigurable AI chip built by MIT engineers. 30.06.2022

In this episode, the host Prateek Joshi talks about: - The question of whether AI is sentient - Yann LeCun's recent proposal on Autonomous Machine Intelligence - NASA's helicopter on Mars - Amazon's AI-powered coding assistant - A reconfigurable AI chip built by MIT engineers

Jason Krantz on talent trends in the AI sector, hyperlocal job markets in US, flow of talent across sectors, and the craft of employee retention 27.06.2022

Jason Krantz is the founder of Strategy Titan. Their offering simplifies workforce and compensation data so that businesses can confidently make hiring and retention decisions. He has access to a goldmine of data on talent trends and where the labor market is heading. In this episode, we cover a range of topics including: - Trends in the US labor market - Talent trends in the AI sector - Full time...

Harpreet Sahota on community building, bottom-up adoption, and developer relations for machine learning products 20.06.2022

Harpreet Sahota is the host of The Artists of Data Science podcast. He's a data science generalist with a strong business acumen. He currently works on Developer Relations at Pachyderm where he is defining and executing strategies that demonstrate the value of data.  In this episode, we cover a range of topics including: - Building bottom up ML products - Driving product adoption - Building t...

Jordan Morrow on the next unlock for the education market, data literacy, and upskilling in machine learning 20.06.2022

Jordan Morrow is the VP of Data and Analytics at Brainstorm. He has been in data for a long time now across companies like Qlik and Pluralsight. He is a two-time winner of Data IQ100, a list of the most influential data and analytics practitioners. He has built expertise in the area of data literacy and upskilling. In this episode, we cover a range of topics including: - Data literacy - Upskilling...

Brent Dykes on data storytelling 16.06.2022

Brent Dykes is the founder of Analytics Hero where he offers workshops on data storytelling. As a Forbes contributor, he has authored more than 45 articles and spoken at some of the largest industry conferences around the globe. After publishing two books on digital analytics, his most recent book focuses on the importance of effective data storytelling. In this episode, we cover a range of topics...

Joe Reis on data engineering and architecture 13.06.2022

Joe Reis is a business-minded data engineer who’s worked in the industry for 20 years. He is the CEO and Co-Founder of Ternary Data, a data engineering and architecture consulting firm based in Salt Lake City, Utah. He volunteers with several technology groups and teaches at the University of Utah. In his spare time, he likes to rock climb, produce electronic music, and take his kids on crazy adve...

What's new in ML: Prateek Joshi talks about nuclear fusion, photonic chips, electronic skin, and analyzing satellite imagery with machine learning. 09.06.2022

In this episode, Prateek Joshi talks about the latest developments in: - Using AI to build digital twins for nuclear fusion reactors - Photonic chips for fast image recognition - Electronic skin for touch sensitive robots - Delivering brain MRI in 1 minute - Using AI for energy grid management - Analyzing satellite imagery using machine learning

Vin Vashishta on injecting reality into machine learning products and creating business value with data science 06.06.2022

Vin Vashishta is a globally recognized expert on AI Strategy and Data Science. He has been a LinkedIn Top Voice in Data Science and has been featured on dozens of Top 10 Lists over the last 7 years. His client list includes the likes of Walmart, JPMC, Siemens, and Airbus. He delivers products with recurring revenue streams in the 100s of millions and build Data Science teams from the ground up. He...

AMA with Prateek Joshi: Space industry, synthetic data in machine learning, foundation models, AI-infused coding tools 02.06.2022

In this AMA episode, the host Prateek Joshi answers the following questions: - How is machine learning being used in the space industry? - How is synthetic data being used to train AI systems? - Are foundation models going to become more prevalent in production ML systems? - What do you think about AI-infused coding tools?

Serg Masis on interpretable machine learning, process fairness vs statistical fairness, how to measure interpretability, how to interpret neural networks, how to increase the interpretability of a model 30.05.2022

Serg Masis is a Data Scientist in agriculture with a background in entrepreneurship and web/app development. He's the author of the book "Interpretable Machine Learning with Python". In addition to ML interpretability, he's passionate about explainable AI, behavioral economics, and ethical AI. In this episode, we cover a range of topics including: - How did he get into machine...

AMA with Prateek Joshi: Python vs Matlab for machine learning, switching careers to ML, building startups, career paths 26.05.2022

In this AMA episode, the host Prateek Joshi answers the following questions received from listeners and readers: - When it comes to experimentation in machine learning, does Python have an advantage over Matlab? - I have many years of experience in database technology and I'd like to switch to machine learning. What advice would you give me? - What is the most difficult part of building a mac...

Zach Keller on recommerce, circular shopping, carbon footprint, economics, how do incentives work in marketplaces, push bucket vs pull bucket, machine learning tools, building data science culture 23.05.2022

Zach Keller leads the data science team at Trove, a white label platform that supports resale as a channel for the world's most beloved brands. He has worked as a data scientist and machine learning engineer, building machine learning systems that operate at scale. He's been in industries such as manufacturing, finance, and re-commerce. At Trove, he focuses on growing and mentoring the d...

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