Latest posts
- 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. ... - 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. ...
- Debugging data to build better and more fair ML applications - Dr. Ce Zhang is an associate professor in Computer Science at ETH Zürich. He presented “Building Machine Learning Systems for the Era of Data-Centric AI” at Snorkel AI’s The Future of Data-Centric AI event in 2022. ...
- Machine learning on Kubernetes: wisdom learned at Snorkel AI
- Snorkel Flow handles intense machine learning workloads, and we’ve built our infrastructure on a foundation of Kubernetes—which was not designed with machine learning in mind. ... - Harvard professor: DataPerf and AI’s need for data benchmarks - Harvard Professor Vijay Janapa Reddi's presentation: “DataPerf: Benchmarks for data” from Snorkel AI’s 2022 Future of Data-Centric AI event. ...
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