Data warehouses and data lakes both offer more flexible, scalable, and agile methods for storing data from multiple sources and in various structures. Unlike traditional databases, these advanced ...

Data platforms make decisions all day. An SQL query keeps the rows over a threshold, matches a keyword, and joins two tables ...

AI is only as secure as the data that powers it. As teams build AI agents and apps on Snowflake, every repo, wiki, and ...

While an increasing number of companies are adopting Snowflake as their cloud data platform, the shortage of engineers ...

Explore how large enterprises build scalable data platforms using lakehouses, batch and streaming pipelines, data mesh, ...

AI data preparation is the unglamorous half of working with data: cleaning, joining, and reshaping raw tables while an AI ...

At Rising this week, Workday Data Cloud opened the System of Record directly to AI agents, with no extracts, no duplicate ...

A more powerful AI model isn’t necessarily the answer to unreliable business analytics. New research from AtScale found that leading AI models answered fewer than 40% of business questions correctly ...

Benchling today announced Direct Data Share, a new capability integrated with Snowflake, the AI Data Cloud company. Direct Data Share keeps scientific data continuously connected between Benchling and ...

Software companies must now refocus their business models around their ownership of things an AI model can't simply replicate.

Komprise, the leader in analytics-driven unstructured data management, today announced the results of a new survey on AI data management and data readiness. Enterprise organizations say they are ...

Warehouse policies, Copilot prep, in-line enforcement on live apps? Eight data access governance picks matched to real ...