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 ...
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 ...
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 ...
“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 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 ...
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 ...
Veeam’s Data Resilience Maturity Model: A Research-Based Framework for Enterprise Recovery Readiness
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 ...
Standardized data governance approaches enable communication, transparent sharing and the potential of operational federated analytics for data-intensive medical research to improve patient care.
China treats data as a factor of production, not a privacy right or corporate asset, and is building economic infrastructure around it: regulated data exchanges, 30+ new standards expected in 2026, ...
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