Latest posts
- Stanford professor on data-centric AI for healthcare and medicine
- Stanford assistant professor James Zou, presents “Responsible Data-Centric AI for Healthcare and Medicine” at The Future of Data-Centric AI. ... - Knowledge graphs: build better models and reclaim predictive value - Amy Hodler, senior director at RelationalAI, presents “Reclaim Predictive Data with Knowledge Graphs” at The Future of Data-Centric AI. ...
- Capital One’s data-centric solutions to banking business challenges - Three experts gave a look into Capital One’s data-centric solutions to solve the bank's business problems and improve customer experience. ...
- Dataset cartography: a data science lesson from Capital One
- William Huang, senior data scientist at Capital One, discussed "dataset cartography" and its value at the Future of Data-Centric AI 2022. ... - Poster presenters compete to win desktop GPU
- Snorkel AI has accepted the first batch of applications for its first annual virtual poster competition. But there’s still time to add yours to the mix. ... - Use your data to build your AI moat: The Future of Data-Centric AI 2023
- Join us on June 7-8 to learn how to use your data to build your AI moat at The Future of Data-Centric AI 2023 free virtual conference. ... - Redesigning Snorkel’s interactive machine learning systems
- To empower our enterprise customers, we redesigned the ML systems behind Snorkel Flow to make sure we were meeting customer needs. ... - Out of distribution blindness: why to fix it and how energy can help - Sharon Li is an assistant professor at the University of Wisconsin-Madison. She presented “Detecting Data Distributional Shift: Challenges and Opportunities” at Snorkel AI’s The Future of Data-Centric AI Summit in 2022. The talk covered a novel approach for handling out-of-distribution objects. ...
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