Data can't generate valuable insights and improve decision-making without strong data governance. A data governance maturity model helps organizations evaluate current achievement levels and identify ...

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 ...

Modernization builds that trust. Trust drives adoption. Adoption turns a working model into a business outcome. And AI is no ...

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.

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 ...

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 ...

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 ...

Southeast Asia Workforce AI Governance Moves From Policy Projects to Persistent Controls: Ken Research Maps the ShiftThe ...

Sr. Director of Product at Aisera, Jigar brings 15+ years in enterprise AI, GenAI innovation, agentic automation and product-led growth. AI maturity isn’t about deploying AI tools or automating ...