Google’s new tool abstracts SQL into a visual interface, helping enterprises manage cloud workload insights without deep ...

I published the semantic model from my last post (which has four text columns CustomerId and CustomerName from the Customers table, CustomerId and TransactionId from the Orders table, none of which ...

What truly sets an AI data assistant apart is how well it understands your business processes and data schema with minimal ...

Snowflake's approach unifies structured and unstructured data analysis within its platform by treating documents as queryable ...

“His face had turned an interesting shade of puce and he looked a little uncomfortable,” Holden wrote. “It transpired he'd ...

On a weekday at Calgary’s Bow Valley College, James Cairns moves from a meeting on AI governance to a hallway chat with ...

Built on App Orchid’s semantic knowledge graph, the Agent continuously learns from context to improve accuracy, transparency, and enterprise trust. SAN RAMON, CA / ACCESS Newswire / November 3, 2025 / ...

Businesses already writing for TensorFlow, or building from scratch, stand to benefit most, while enterprises with legacy ...

Snowflake expands its AI Data Cloud with Snowflake Intelligence, Openflow, and a new SAP alliance to unify data, drive trust, ...

Dot sourcing can simplify large PowerShell scripts -- but without a clear structure, it can quickly lead to chaos.

Snowflake, the AI Data Cloud company, is launching innovations that make it easier for organizations to ingest, access, and govern their data across the entire data lifecycle, redefining the ...

To enhance reliability, Snowflake’s AI researchers introduced a new evaluation framework called Agent Goal, Plan, Action that ...