About three years ago, Steven Adler was running the privacy consulting practice at IBM. As he talked with IBM customers, he discovered that many of the large customers had some pretty complex IT ...

Forbes contributors publish independent expert analyses and insights. The path to enterprise AI maturity runs directly through data. However, constructing AI-ready data platforms is more than just a ...

One of the most consequential distinctions in AI governance is the difference between prediction and judgment. AI may estimate whether a borrower will default, whether a transaction is fraudulent, ...

In today’s paced tech-driven world the importance of data governance has never been more crucial. As data volumes soar and data ecosystems become intricate organizations must create frameworks to ...

Maturity models have emerged as pivotal instruments to gauge and steer the evolution of information systems practice across organisations. By articulating a set of progressive stages—ranging from ...

As Veeam Software Group GmbH, the market leader in data resiliency, holds its annual user event VeeamON in San Diego this week, it’s on a roll, continuing to stretch its lead over the legacy vendors.

The way organizations manage AI is changing. The shift is from simple models to agents that act on their own — sometimes for better, sometimes for worse. To handle this, good AI governance means an ...

Business continuity remains a major focus for organisations, but many discover their true recovery readiness only during an actual disruption, whether ransomware, accidental data deletion, or system ...