Of the platforms compared here, Celebrus AI is the only one built from the ground up on a live, identity-resolved behavioral ...

As Couchbase launches its AI Data Plane, the more interesting question is whether the NoSQL-era strengths it built for ...

Test your logic and problem-solving skills with a series of tricky questions designed to challenge your thinking. This video ...

When an OpenAI finance analyst needed to compare revenue across geographies and customer cohorts last year, it took hours of work — hunting through 70,000 datasets, writing SQL queries, verifying ...

“Employees are doing things that are more value-added. I think it helps with morale…because now they get to contribute at a higher level.” Dr. Satya Ramaswamy, Chief Digital and Technology Officer, ...

WrenAI is the open-source GenBI engine: it lets AI agents generate, deploy, and govern business intelligence, from a SQL answer to a shareable dashboard, across 22+ data sources. What makes the output ...

How must databases adapt to generative AI, and how should databases be integrated with large language models (LLMs)? These are questions that Sailesh Krishnamurthy has grappled with for several years ...

A team of AI researchers at Bloomberg have developed PExA, an agentic framework that achieved 70.2% execution accuracy, sharing one of the top positions on the Spider 2.0 (Snow) leaderboard, one of ...

Abstract: Tabular reasoning involves deep understanding and reasoning of structured data and natural language questions, which is extremely challenging for large language models (LLMs). In particular, ...

Using the right model and the right prompt is only part of the enterprise AI challenge, it's also critical to optimize the prompt. The breakthrough in prompt optimization arrives alongside Databricks' ...

[Stay on top of transportation news: Get TTNews in your inbox.] Automation, artificial intelligence and data science are transforming freight brokerage operations, increasing productivity and altering ...

In the early stages of building a data platform, it’s common to patch together ingestion workflows by hand — scripting one-off jobs, customizing transformations ...