AI tools are frequently used in data visualization — this article describes how they can make data preparation more efficient ...

Alteryx is pushing analytics into the data lakehouse rather than pulling data out. Chief Product Officer Ben Canning explains why governance and business user access remain the real barriers to ...

Hillman highlights Teradata’s interoperability with AWS, Python-in-SQL, minimal data movement, open table formats, feature ...

Overview: Modern big data tools like Apache Spark and Apache Kafka enable fast processing and real-time streaming for smarter ...

OKX introduces a native AI layer on OnchainOS for developers to build autonomous agents that trade, pay, and operate across 60+ networks.

Databricks, Snowflake, Amazon Redshift, Google BigQuery, and Microsoft Fabric – to see how they address rapidly evolving ...

There have been some scintillating encounters among the now 35 times Louisville and Syracuse have met. That harbinger of a ...

AI is extraordinary at speed, synthesis, and pattern matching. What it cannot do—what it has never done—is produce the flash ...

OpenAI’s internal AI data agent searches 600 petabytes across 70,000 datasets, saving hours per query and offering a blueprint for enterprise AI agents.

How marketers can keep up with AI, Paramount-Warner Bros. deal would make a streaming giant, when AI isn’t nice to your brand ...

You can estimate AI’s water footprint yourself in just three steps, with no advanced math required.

Sam Altman rejects viral claims that ChatGPT uses gallons of water per query, but says AI’s total energy demand is a fair concern.