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Interviews
Five Volunteers Behind R Just Won Statistics' Top Prize
R started as an open-source alternative to a proprietary statistics language, “S,” and it has grown into one of the most important tools in data science. Long before the current AI boom, R became the environment where statisticians, researchers, economists, and data scientists developed many of the methods, workflows, and validation frameworks that modern AI now builds upon. R may not be a household name, but it sits underneath many of the systems and decisions people rely on every day. Today, it's used by researchers, economists, healthcare organizations, and AI developers around the world to analyze data, build models, and make sense of complex information. In many ways, it's become part of the foundation that modern data-driven decision-making, and increasingly AI as we know it, relies on. Read More
AI Security Governance Lags Enterprise Adoption
1. Many companies are moving to integrate AI tools into daily operations. Do you think security practices are keeping pace with that speed? The data suggests they are not. The Netwrix Data & Identity Security Report found that only 11% of organizations have operationalized AI governance with continuous oversight of identities, permissions, and the data AI systems... Read More
Zebra Technologies helps Repco digitise fleet operations with real-time delivery visibility and connected frontline tools.
By Brett Newstead, Sales Director, Australia & New Zealand, Zebra Technologies 1.From Zebra’s perspective, what made this collaboration with Repco a strategic fit? What specific operational challenges was Zebra uniquely positioned to help them solve? From Zebra’s perspective, this was a strong strategic fit because Repco runs a high-volume, time-critical delivery operation – and that’s... Read More
Why Continuous Identity Verification Matters
By Thi Nguyen-Huu, Founder and CEO of WinMagic 1.    Why has the cybersecurity industry remained fixated on login events instead of rethinking identity as a continuous process?   Because login was easy to model, and continuous identity was hard to build. A login event has a clean shape—a credential is presented, a server evaluates it,... Read More
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