Infinite Curiosity Pod with Prateek Joshi

Latest Episodes:

Building a global community for women in AI and tech | Sadie St. Lawrence Sep 01, 2022

Show notes

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

Growing from 0 to 775,000 YouTube subscribers by teaching ML and statistics | Joshua Starmer Aug 29, 2022

Show notes

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

Building low-code ML tools, being a second-time founder | Tommy Dang Aug 22, 2022

Show notes

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

Investing in ML and Data startups, Understanding the modern data stack | Chad Sanderson Aug 15, 2022

Show notes

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

AI in pharma, Building products for pharma vs bio vs healthcare | John Thompson Aug 08, 2022

Show notes

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

Active Learning in ML, DataPrepOps, Carbon footprint of AI systems | Jennifer Prendki Aug 01, 2022

Show notes

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

Telling stories WITH data vs ABOUT data | Scott Taylor Jul 28, 2022

Show notes

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

Upskilling, learning, and keeping yourself relevant as a data practitioner | Matt Harrison Jul 25, 2022

Show notes

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 Ponder, the Enterprise Pandas company. You can check out his online store and his course on Pandas.
In this episode, we cover a range of topics including:
- Corporate training and upskilling
- The process of training
- Similarities and differences between the learning mechanisms for adults vs children
- Framework for data practitioners to educate themselves
- Biggest gap in skills today
- Modes of learning
- Measuring the efficiency of training products and services

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 Jul 21, 2022

Show notes

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 HireVue, where he built out their data science group, filed 7 patents, and helped to launch their AI insights product using video/audio from candidate interviews. In 2017, Taylor co-founded Zeff.ai to pursue deep learning for image, audio, video, and text for the enterprise.
In this episode, we cover a range of topics including:
- Automating network design with genetic programming and deep learning
- Key learnings as HireVue's first data scientist
- Why he doesn't like Tensorflow
- Metaheuristics
- Key learnings as the cofounder of Zeff.ai
- What does it take to go from 0-to-1 when building an ML product

Srinath Sridhar on the 0-to-1 journey of building ML products Jul 18, 2022

Show notes

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 many startups.
In this episode, we cover a range of topics including:
- how to build the v1 of a machine learning product
- what does it take to scale a product
- using generative AI in business
- how to talk to customers
- how to identify promising ML startups

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