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 ...

As organizations invest billions of dollars in artificial intelligence, most still struggle to translate those investments into measurable results. Researchers at Carnegie Mellon University’s Software ...

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 ...

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 ...

“Data is the new oil” being cliche only highlights the statement’s relevance. As data volumes continue to multiply, so do the complexities of management — especially in cybersecurity. Cribl Inc. is ...

As proposed AI regulations gain momentum, regulators are recognizing that one size does not fit all. In the EU and the US, regulators now emphasize a proportional approach, where the compliance burden ...

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 ...

Fortune 500 companies are already using the model to establish a baseline for adopting artificial intelligence technology and plan for future AI investments.

HIMSS today announced an update to its Adoption Model for Analytics Maturity at the HIMSS24 Asia-Pacific conference in Seoul. The earlier version of AMAM will now be referred to as AMAM Classic and ...