The 73rd episode of Datacast is my conversation with Taivo Pungas —a tech entrepreneur working on a stealth-mode startup. Previously, he built the AI team at Veriff from scratch to 20+ people and contributed to various machine learning/data roles at Starship Technologies and other Estonian startups.

Our wide-ranging conversation touches…

Last month, I attended apply(), Tecton’s follow-up virtual event of their ML data engineering conference series. I’ve previously written a recap of their inaugural event, a whirlwind tour of wide-ranging topics such as feature stores, ML platforms, and research on data engineering. In this shorter post, I would like to…

The 72nd episode of Datacast is my conversation with Gleb Mezhanskiy — the CEO & Co-founder of Datafold, a data observability platform that helps companies unlock growth through more effective and reliable use of their analytical data.

Our wide-ranging conversation touches on his economics and computer science background; the evolution…

“We celebrate starts and finishes, but rarely discuss the messy journey in between, where odds are defied and great teams and products are ultimately made.”

As someone who is navigating the ups and downs for the growth function of a startup, Scott Belsky’s “The Messy Middle” was like music to…

The 71st episode of Datacast is my conversation with Saishruthi Swaminathan, an Advisory Data Scientist at IBM’s AI Strategy and Innovation division. Previously, she was a technical lead and data scientist in the IBM Center for Open-Source Data and AI Technologies team.

Our wide-ranging conversation touches on her childhood and…

The 70th episode of Datacast is my conversation with Mohamed Elgendy — a seasoned AI expert, who has built and managed AI organizations at Amazon, Rakuten, Twilio, and Synapse.

Our wide-ranging conversation touches on his biomedical engineering background in Egypt, his transition from software engineering to ML, teaching computer vision…

The field of MLOps has rapidly gained momentum among Data Scientists, ML Engineers, ML Researchers, Data Engineers, ML Product Managers, and any other roles that involve the process of designing, building, and managing ML-powered software. …

The 69th episode of Datacast is my conversation with Jennifer Prendki — the founder and CEO of Alectio; the first startup fully focused on DataPrepOps.

Our wide-ranging conversation touches on her educational background in Physics in France; her transition to data science in Silicon Valley; organizational and operational challenges with…