Datacast

Episode 33: Data-Centric Computer Vision, Productizing AI, and Scaling a Global Startup with Hyun Kim

Hyun Kim is the co-founder and CEO of Superb AI, an ML DataOps platform that helps computer vision teams automate and manage the entire data pipeline: from ingestion and labeling to data quality assessment and delivery...

70 MIN

Episode 32: Escaping Poverty, Embracing Digital Learning, Benchmarking ML Systems, and Advancing Data-Centric AI with Cody Coleman

Cody Coleman is the Founder and CEO of Coactive AI. He is also a co-creator of DAWNBench and MLPerf and a founding member of MLCommons...

87 MIN

Episode 31: Observable, Robust, and Responsible AI with Alessya Visnjic

Alessya Visnjic is the CEO and co-founder of WhyLabs, the AI Observability company on a mission to build the interface between AI and human operators...

• 72 MIN

Episode 30: Modern Data Collaboration and Social Entrepreneurship with Prukalpa Sankar

Prukalpa Sankar is the Co-founder of Atlan. Atlan is a modern data collaboration workspace (like Github for engineering or Figma for design). By acting as a virtual hub for data assets...

• 78 MIN

Episode 29: Commoditizing Data Integration Pipelines with Michel Tricot

Michel Tricot has been working in data engineering for 15 years. Originally from France, Michel came to the US in 2011 to join a small startup named LiveRamp. As the company grew, he became the Head of Integrations and...

• 58 MIN

Episode 28: Datasets for Software 2.0 with Taivo Pungas

Taivo Pungas is 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 ML/data roles at Starship...

• 78 MIN

Episode 27: Folding Data with Gleb Mezhanskiy

Gleb Mezhanskiy is 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. As a founding member...

• 68 MIN

Episode 26: Trusted AI with Saishruthi Swaminathan

Saishruthi Swaminathan is 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...

• 74 MIN

Episode 25: Machine Learning Testing with Mohamed Elgendy

Mohamed Elgendy is a seasoned AI expert, who has previously built and managed AI organizations at Amazon, Rakuten, Twilio, and Synapse...

• 62 MIN

Episode 24: Threat Intelligence, Venture Stamina, and Data Investing with Sarah Catanzaro

Sarah Catanzaro is a Partner at Amplify Partners, where she focuses on investing in and advising high potential startups in machine intelligence, data management...

• 76 MIN

Episode 23: Model Observability, AI Bias, and ML Infrastructure Ecosystem with Aparna Dhinakaran

Aparna Dhinakaran is the Chief Product Officer at Arize AI, a startup focused on ML Observability. She was previously an ML engineer at Uber, Apple, and...

• 48 MIN

Episode 22: Monitoring Models in Production with Emeli Dral

Emeli Dral is a Co-founder and CTO at Evidently AI, a startup developing tools to analyze and monitor the performance of machine learning models...

• 46 MIN

Episode 21: Improving Access to High-Quality Data with Fabiana Clemente

Fabiana Clemente is a Data Scientist with a background that ranges from Business Intelligence to Big Data Development and IoT architecture...

• 56 MIN

Episode 20: Real-World Transfer Learning with Azin Asgarian

Azin Asgarian is currently an applied research scientist on Georgian’s R&D team, where she works with companies to help adopt applied research techniques to...

• 66 MIN

Episode 19: Meta Reinforcement Learning with Louis Kirsch

Louis Kirsch is a third-year Ph.D. student at the Swiss AI Lab IDSIA, advised by Prof. Jürgen Schmidhuber. He received his B.Sc. in IT-Systems-Engineering...

• 61 MIN

Episode 18: Bridging The Gap Between Data and Models with Willem Pienaar

Willem Pienaar is the Engineering Lead at Tecton and the creator of Feast, a feature store for machine learning. Feast is an open-source project that Willem...

• 49 MIN

Episode 17: Deep Learning Meets Distributed Systems with Jim Dowling

Jim Dowling is the CEO of Logical Clocks AB, an Associate Professor at KTH Royal Institute of Technology, and a Senior Researcher at SICS RISE in Stockholm. His...

• 79 MIN

Episode 16: Making Apache Spark Developer-Friendly and Cost-Effective with Jean-Yves Stephan

Jean-Yves (or "J-Y") Stephan is the CEO & Co-Founder of Data Mechanics, a Y-Combinator-backed startup building a data engineering platform that makes...

• 52 MIN

Episode 15: Information Retrieval Research, Data Science For Space Missions, and Open-Source Software with Chris Mattmann

Chris Mattmann is the Chief Technology and Innovation Officer at NASA JPL. He was also JPL's first Principal Scientist in the area of Data Science...

• 83 MIN

Episode 14: Research and Tooling for Computer Vision Systems with Jason Corso

Dr. Jason Corso is the new director of the Stevens Institute for AI. He is also the co-founder and CEO of Voxel51, an AI software company creating...

• 80 MIN

Episode 13: Reducing Data Downtime with Barr Moses

Barr Moses is the CEO & co-founder of Monte Carlo, a data reliability company committed to accelerating the world’s data adoption by reducing Data...

• 54 MIN

Episode 12: Computational Neuroscience, Quantitative Finance, and Churn Prediction with Carl Gold

Carl Gold, the Chief Data Scientist at Zuora, has a Ph.D. from the California Institute of Technology and first-author publications in leading Machine Learning and...

• 68 MIN

Episode 11: AI Ethics, Open Data, and Recommendations Fairness with Jessie Smith

Jessie J. Smith (Jess) is a second-year Ph.D. student in the Department of Information Science at the University of Colorado Boulder. Her Ph.D. research...

• 58 MIN

Episode 10: Computer Systems, Machine Learning Security Research, and Women in Tech with Shreya Shankar

Shreya Shankar is a computer scientist living in the Bay Area. She is interested in making machine learning work in the real world. She currently works at Viaduct...

• 65 MIN

Episode 09: From Economics and Operations Management to Data Science with Francesca Lazzeri

Francesca Lazzeri, Ph.D., is an experienced scientist and machine learning practitioner with over 12 years of academic and industry experience...

• 85 MIN

Episode 08: Serverless Machine Learning In Action with Carl Osipov

Carl Osipov is the Chief Technology Officer of CounterFactual.AI - a boutique machine learning consultancy he co-founded with his friend from IBM...

• 90 MIN

Episode 07: Machine Learning In Production with Luigi Patruno

Luigi Patruno is a Data Scientist and the Founder of MLinProduction.com. He's currently the Director of Data Science at 2U, where he leads a team of data...

• 93 MIN

Episode 06: Machine Learning Bookcamp with Alexey Grigorev

Alexey lives in Berlin with his wife and son. He’s a software engineer with a focus on machine learning, currently working at OLX Group as a Lead Data...

• 65 MIN

Episode 05: Deep Learning Generalization, Representation, and Abstraction with Ari Morcos

Ari Morcos is a Research Scientist at Facebook AI Research working on understanding the mechanisms underlying neural network computation...

• 97 MIN

Episode 04: Domain Randomization in Robotics with Josh Tobin

Josh Tobin is the founder and CEO of a stealth machine learning startup. Previously, Josh worked as a deep learning & robotics researcher at OpenAI...

• 54 MIN

Episode 03: Economics, Data For Good and AI Research with Sara Hooker

Sara Hooker is a researcher at Google AI doing deep learning research on reliable explanations of model predictions for black-box models. Her main research...

• 93 MIN

Episode 02: Leading Self-Driving Cars Projects with Jan Zawadzki

Jan Zawadzki has 6 years of experience at a global consultancy and as a Data Scientist. Jan currently works in the realm of self-driving cars as a Project Lead...

• 72 MIN

Episode 01: Computer Vision Research with Genevieve Patterson

Genevieve Patterson is the chief scientist at TRASH, a startup that is developing computational filmmaking tools for mobile iphono-graphers. Before that, she was...

• 53 MIN