🎙 TheSequence Chat: a year of interesting conversations

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One year ago, we started TheSequence Chat – a series of interviews with ML practitioners. Many times, it's hard to associate a specific piece of ML research or technology with the creators behind the scene. However, learning about the experience gained by researchers, engineers and entrepreneurs doing real work can result in a great source of knowledge and inspiration. During this year, we’ve published 25 conversations, that were read 578,328 times by at least 20,000 people each.

Today, we’d like to share the whole collection:

• 🎙 Justin Harris/Senior software developer in Microsoft about decentralized AI and its importance for the future of AI

• 🎙 Jan Beitner/Creator of the open-source Python package PyTorch Forecasting about launching the project to make deep learning for time-series mainstream

• 🎙 François Chollet/Creator of Keras about new ways to measure machine intelligence

• 🎙 William Falcon/Creator of PyTorch Lightning, CEO of Grid.ai: “We did our job right if the term MLOps disappear.”

• 🎙Oren Etzioni/CEO of Allen Institute for AI (AI2) on advancing AI research for the common good

• 🎙 Piero Molino/Creator of Ludwig about the importance of low-code ML to make ML more accessible and ubiquitous

• 🎙 Brian Venturo/CTO of CoreWeave about GPU-first ML infrastructures

• 🎙 Joe Doliner/CEO of Pachyderm on developing a canonical ML stack and main challenges for mainstream developer adoption

🗃 Interviews by topic

Feature Stores

• 🎙 Jim Dowling/CEO of Logical Clocks about the future of feature stores

• 🎙 Mike Del Balso/CEO of Tecton: “There is too much depth in this space for feature stores to be just a “feature.”

• 🎙H.O. Maycotte/CEO of Molecula on shifting from “data as fuel” to “features as fuel”

Data Labeling

• 🎙 Manu Sharma/CEO of Labelbox about the future of data labeling automation

• 🎙 Hyun Kim/CEO of Superb AI on true data labeling automation

• 🎙 Olga Megorskaya/CEO of Toloka on practical lessons about data labeling

• 🎙 Paroma Varma/Co-founder of Snorkel on programmatic approaches to data labeling

ML monitoring and explainability

• 🎙 Krishna Gade/CEO Fiddler AI about challenges with model explainability and how explainable ML Monitoring system extends traditional monitoring

• 🎙 Adam Wenchel/CEO of Arthur AI about best practices ML teams can follow to ensure fairness and minimize bias in ML models

Money in AI

• 🎙Albert Azout/Level Ventures on the state of the AI market and the areas to pay attention to

AI-powered startups

• 🎙 Emad Elwany/CTO of Lexion on using deep learning to reimagine contract management systems

• 🎙 Greg Finak/ CTO of Ozette: using ML to extract intelligence from the immune system

• 🎙 Bryce Daines/CDS of Modulus Therapeutics about using ML to power next-generation cell therapy

• 🎙 Judah Phillips / Co-CEO of Squark about no-code predictive analytics

Helping enterprises implement ML solutions (series of webinars supported by TheSequence):

• 🎙 Iskandar Sitdikov/ML solutions architect at Provectus: Healthcare has it all: NLP, computer vision, recommendations, and a whole lot more

• 🎙 Rinat Gareev/Senior ML solutions architect at Provectus about data quality and enterprise ML solutions

• 🎙 German Osin/Senior data platform architect at Provectus about data discovery and observability in ML solutions

🍁 Share your thoughts and suggestions with us! We always appreciate the feedback 🍁