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 ...

Scaling agentic AI means trusting your data - here's what most CDOs are investing in ...

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 ...

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 ...

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 ...

Boards and C-suites are adopting new governance practices to address energy constraints and operating and cyber risks to ...

Data is the lifeblood of our modern, technology-driven world. Data is powering AI and the vast majority of the technology-based services being delivered not only by the businesses and people we ...

In an era where sensitive data is a prime target for cyberattacks and compliance violations, effective data classification is the critical first step in safeguarding information. Recognizing the ...

Informatica Claims Data Fragmentation Is Standing in the Way of APAC Generative AI Your email has been sent Data management has become critical to drawing value from generative AI, according to ...

CIOs who want to help their organizations comply with data regulations in a fast-changing digital economy should explore the sovereign cloud. That was the conclusion of attendees at VMware Explore in ...

GoldenSource has launched its new Nexus hosted data management solution, intended to provide a single source of market and reference data. The solution allows investment managers to bring in new data ...

Police forensic labs face challenges managing diverse evidence data, maintaining chain of custody and integrating systems to avoid manual data entry and errors. Traditional documentation methods still ...