The additions let data teams ask progressive, context‑aware questions in natural language while enabling developers to deploy governed analytics agents across applications via unified API endpoints.

The ability to write parts of SQL queries in natural language will help developers speed up their work, analysts say.

Identify and resolve data gaps, ensuring reports include required data and support strategic goals. Troubleshoot, resolve issues and ensure data is accurate and provides useful, relevant information.

Data Analytics and Generative AI are transforming industries worldwide. The Professional Certificate in Data Analytics and Generative AI by Purdue University, d ...

Leaf Agriculture today announced the launch of LeafLake, a new product that brings data analysis to the forefront of Leaf's offering. LeafLake allows Leaf customers to easily perform sophisticated ...

Overview: Data-related careers are expanding rapidly as businesses rely more heavily on analytics, AI, and automation.Data ...

In today’s digital age, data analytics has emerged as a pivotal force shaping the landscape of industries worldwide. As ...

Combining MCP, analytics-as-code, and LLMs to automate analytics execution at software speed SAN FRANCISCO, CALIFORNIA ...

AI has been reshaping how operations-heavy companies think about data infrastructure, and it could fundamentally reshape ...

How agencies can use on-premises AI models to detect fraud faster, prove control effectiveness and turn overwhelming data ...