Latest posts
- LLMs high priority for enterprise data science, but concerns remain - Enterprises—especially the world’s largest—are excited to use large language models, but they want to fine-tune them on proprietary data. ...
- McKinsey QuantumBlack on automating data quality remediation with AI - Jacomo Corbo and Bryan Richardson with QuantumBlack present “Automating Data Quality Remediation With AI” at The Future of Data-Centric AI. ...
- Sambanova on using LLMs to squeeze value from business data - Stefano Lindt presents “Leveraging NLP to Extract Value From Business Data” at Snorkel AI’s The Future of Data-Centric AI Summit in 2022. ...
- Black Swan Data CTO on how to tackle petabyte-level learning - Peter Davio, CTO at Black Swan Data, presented “Petabyte-Level Learning” at Snorkel AI’s The Future of Data-Centric AI Summit in 2022. ...
- How Grammarly strives for superhuman communication assistance - Grammarly's Timo Mertens presents “Toward Superhuman Communication Assistance” at Snorkel AI’s The Future of Data-Centric AI Summit in 2022. ...
- The Future of Data-Centric AI Day 2: Snorkel Flow and Beyond - The Future of Data-Centric AI showcased customer to successes, took a deep look at Snorkel Flow, and announced two new solutions. ...
- Future of Data-Centric AI day 1: LLMs changed the world - Day 1 of The Future of Data-Centric AI virtual conference 2023 featured the creator of Spark, the first U.S. Chief Data Scientist, and others. ...
- How to import Databricks data into Snorkel Flow - Databricks customers can access their data seamlessly within the Snorkel Flow platform with a few clicks with the new Databricks connector. ...
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