Integrating AI into chip workflows is pushing companies to overhaul their data management strategies, shifting from passive storage to active, structured, and machine-readable systems. As training and ...

In 2024, the International Diabetes Federation published a position statement supporting the 1 h 75 g oral glucose tolerance test (OGTT) as an alternative to the conventional 2 h testing protocol and ...

Traditionally, AI progress was constrained by one thing above all else: access to data. Not enough volume. Not enough ...

Principal Architect Sandeep Patil’s landmark research charts a new course for cloud-native data warehousing — from serverless MPP engines and lakehouse convergence to AI-powered query optimization and ...

Liquibase, the leader in Database Change Governance, today released the 2026 State of Database Change Governance Report, new ...

Facing strict privacy laws, telcos use AI-generated synthetic data as a compliant workaround to train ML models without exposing sensitive customer information.

Anthropic’s Claude Code, an AI-powered coding assistant, executed destructive commands against a live production database ...

An agent can produce a mathematically elegant, third-normal-form schema that is functionally irrelevant because it fails to capture the political or operational nuances of the organization. Deploying ...

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.

When it comes to test data management and de-identification, how do Informatica and Tonic Structural compare? Explore the value of a modern, on-premises solution.

Abstract: The organized handling of data is of growing importance in contemporary applications owing to the abundance of mixed data sources, ranging from structured, semi-structured, unstructured and ...