Data Management | News, how-tos, features, reviews, and videos
NIST recently published a report that garnered little attention, but it's a must-read document for people in business and law enforcement.
As more organizations embrace AI, it is vital to document the policies and procedures that govern its use. Here are seven questions that define effective AI governance.
More companies are leveraging data fabrics to solve complex data management challenges. Here's what business and IT leaders need to know.
The idea of integrating data gathered from multiple sources is hardly new, but interest in digital transformation and AI is pushing enterprises to tackle it again.
We’ve known for years that application portability between public cloud providers is not easy or cheap. Here are a few approaches to try instead.
Data pipelines are essential for connecting data across systems and platforms. Here's a deep dive into how data pipelines are implemented, what they're used for, and how they're evolving with genAI.
Distributing workloads among various providers offers protection from failure, but make sure your business can handle the complexity and costs.
Until CIOs are ready to confront data that is siloed, redundant, or can’t be traced through the business process, generative AI will not pay off.
After all these years, we still haven’t implemented enough finops, automation, and governance to stop wasting money in the cloud.
For those who have done the real work of data modernization and preparation, AI is worth its high price tag.
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