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A new discipline, machine learning security operations (MLSecOps), has emerged to provide a foundation for robust AI security. Let’s explore five foundational categories within MLSecOps.
Schools and organizations that deploy vast numbers of computers have a much-needed computing edge against cybersecurity risks with enterprise-grade Chromebooks. Consumer-grade Chromebooks come with what Google calls "defense in depth" that provides multiple layers of protection.
This week’s Microsoft Ignite 2024 event in Chicago showcased Microsoft's vision and strategies for corporate and enterprise customers, highlighting AI's potential to transform operations.
Risk management in many organizations is mired in a framework that can't keep pace with the challenges that most enterprise risk teams face. It needs to be modernized. That's the verdict that senior analysts Cody Scott and Alla Valente handed down in a recent Forrester Research blog that's critical ...
Because of Microsoft’s leadership in AI, Ignite is one of the few places to get the critical information you need to make better choices and ensure your expensive AI deployment is successful.
At HP’s Imagine event last month, we saw a better AI future focused not on deploying AI for its own sake but on developing detailed plans encompassing HP’s internal resources and an impressive number of partners to ensure that AI deployments will succeed.
Tal Barmeir, co-founder of BlinqIO, sees AI transforming human testers into "AI-assisted testers," where AI enhances productivity and efficiency rather than replacing jobs.
These attacks present broader risks that can impact critical infrastructure such as health care systems, autonomous vehicles, financial markets, national security, and military applications.
Many employees lack sufficient AI training, creating a significant skills gap. Companies that address this issue can unlock innovation to drive organizational success.
AMD is pushing the boundaries of what is possible with technology while ensuring that its operations and products contribute positively to society and the environment.
When used correctly, technology such as smartboards and AI-powered presentation devices reshape learning and create positive learning environments for students.
Despite its somewhat unglamorous reputation, database management and administration is an industry experiencing rapid growth, persistent talent shortages, and significant changes brought by AI. This field has much potential for those willing to cash in on its viable career path.
When we talk about AI, we typically focus on productivity, but our real problem is poor decision support, not the lack of productivity or performance.
How should policymakers handle the many concerns raised by the introduction of artificial intelligence into society? The Center for Data Innovation has some answers to that question.
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