Snowflake’s Openflow tackles AI’s toughest engineering challenge: Data ingestion at scale

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More For anyone in AI, it’s no big news that “data is the real prize.” If you have strong data foundations, your models and the applications powered by them will be right on the money. But that’s where it gets messy. Building that foundation is no piece of cake, especially when there are dozens of data sources, each hosting valuable information. You need to build and maintain integration pipelines for each source — a massive engineering burden for data teams juggling disparate ETL tools to centralize what’s needed to power AI workloads. At scale, these pipelines become rigid bottlenecks — hard to adapt, extend or expand. Snowflake thinks it has an answer. Today, at its annual summit, the company announced the general availability of Openflow — a fully managed data ingestion service that pulls any type of data from virtually any source, streamlining the process o ... Read full article.