Proven to Meet Today’s Business Challenges ThoughtSpot has long understood that a robust semantic layer is the linchpin of a successful data strategy. Unlike many legacy BI tools currently attempting ...

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.

But that instinct can mislead us. AI feels like a bubble because we’re forcing something genuinely discontinuous into a ...

Tenable Research revealed "LeakyLooker," a set of nine novel cross-tenant vulnerabilities in Google Looker Studio. These flaws could have let attackers exfiltrate or modify data across Google services ...

If you just use AI to optimise an old process, you are effectively trying to make horses run faster instead of inventing the automobile. True ROI is unlocked when you use AI to completely reinvent ...

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

The real answer is less magic and more mindset: a systems principle called Postel’s Law. In plain language: Be strict in what ...

The focused large language model is designed to help provide caregivers and administrators answers to their questions based on their own organization's data, the vendor's chief data scientist ...

First of four parts Before we can understand how attackers exploit large language models, we need to understand how these models work. This first article in our four-part series on prompt injections ...

NHS analyst’s conviction for child sexual abuse offences raises concerns over unaudited access to patient data.

This is why AI adoption is falling short at the executive layer. While analysts can still find value in assistance with query writing and data analysis, leaders tend to lose confidence soon if results ...