Infinite Curiosity Pod with Prateek Joshi

Ketan Umare is the cofounder and CEO of Union AI, a startup that's building a ML and Data Orchestration product powered by Flyte. They've raised $10M in funding led by NEA. Prior to this, he was at Lyft for 5 years where he created Flyte, an open source tool to automate ML and data workflows. In this episode, we cover a range of topics including:- Creating open source tools- Launching a startup- Business model of open source companies- Product discipline in early stage startups- Programming hygiene for ML practitioners

Leigh Marie Braswell is an investor at Founders Fund, one of the most successful VC firms in the world. Prior to that, she was one of the first 10 team members at Scale AI. A startup which is currently valued at more than $7 Billion. She was an ML engineer at Google before that. She has a degree from MIT and loves to play poker.In this episode, we cover a range of topics including:- Key learnings during her time at Scale AI- How she identifies promising startups- Startup opportunities in ML infrastructure- Large Language Models- Applications of ML- Product management at AI startups--------Where to find Prateek Joshi:Newsletter: https://prateekjoshi.substack.comWebsite: http://prateekj.comLinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19

Phil Howes is the cofounder and Chief Scientist of Baseten, an ML application builder for data scientists. They have raised $20M from top tier investors such as Greylock, Mustafa Suleyman, DJ Patil, and Greg Brockman. He was previously the co-founder of Shape, a people analytics platform acquired by Reflektive in 2018. Prior to that, he was an ML Engineer at Gumroad. He has a PhD in Mathematics from the University of Sydney.In this episode, we cover a range of topics including:- Top 3 learnings from running his first startup- What he's building now at Baseten- How to think about design and UX for ML products- Pricing mechanics- Competitive landscape - Their open source strategy - How they got their first 10 users- Self serve strategy for ML products- Measuring customer success--------Where to find Prateek Joshi:Newsletter: https://prateekjoshi.substack.comWebsite: http://prateekj.comLinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19

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 of topics including:- Launching a new community focused on AI and Data- How to get the first 10 members to join- Growing the community from 10 to 20,000- Running growth experiments- How to keep a community interesting

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 including:- Teaching ML and statistics - Launching his YouTube channel - Growing his YouTube channel to 775,000 subscribers - Running growth experiments - How to create engaging content - Learning framework for ML practitioners 

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 ML tools for developers- How to incorporate AI into a product- Building machine learning models for Airbnb's Experiences vertical- His key learnings as a second time founder- What he's building at Mage- How they got their first 10 customers for Mage

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 platforms, data discovery systems, and workflow development platforms.In this episode, we cover a range of topics including:- Modern data stack- How he identifies great ML startups- Being a scout for Sequoia Capital- Investment themes in ML and data- Data modeling- Data collaboration tools

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 pharma- Building products for pharma vs bio vs healthcare- Challenges of building products for rare diseases- Plasma-derived therapeutic products- AI-powered drug discovery- State of healthcare in US

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:- DataPrepOps- MLOps- Data labeling- Training datasets- Carbon footprint of AI systems- Active learning- Online learning, continual learning, incremental learning

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 management- Data storytelling- Data vs analytics- How to communicate data quality issues- The journey of managing master data