Earlier in 2023, we discussed The Importance of Metadata here in the DBA Corner column. And, indeed, metadata is more important than ever before because it helps us to understand our data. Data ...

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 ...

Fragmented data systems limit government funders’ ability to measure impact, adopt AI, and make evidence-based decisions.

Experts at the Table: Semiconductor Engineering sat down to discuss issues in smart manufacturing of chips, including data management, chiplets, and standards, with Mujtaba Hamid, general manager for ...

As AI investment soars, the race for agentic is outpacing the modern data infrastructure required to support it. This is according to a new Semarchy survey of 1,000 global C-level executives across ...

Microsoft has introduced new AI-driven features within the Microsoft Fabric data platform to accelerate application development and improve other enterprise functions. As 2025 approaches, managing ...

One of the industry’s worst kept secrets is the extent to which buy-side and sell-side firms of all sizes struggle to effectively manage their market data spend, usage and compliance. Not only is data ...

A new industry guide explores the operational realities ecommerce teams face as Amazon catalog complexity increases across marketplaces, ...

With more than half the data floating around any given enterprise, it’s fairly certain that managing that data more effectively could be a major boon in terms of reducing the number of headaches ...

As the volume of ESG data continues to rise, firms are grappling with the best way to manage this information, according to a new Bloomberg survey of approximately 200 financial market participants ...