Cybersecurity has become one of the cleaner growth stories in software because AI is making the threat surface larger.

Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...

McKinsey’s 2025 AI research shows the contradiction that defines enterprise AI. Eighty-eight percent of companies report regular AI use in at least one business function, yet most still sit in ...

The demand curves facing AI firms will change dramatically, as companies experiment with different internal incentive ...

Why the Fortune 500 Companies Winning the AI Race Specialized Before They Scaled Eight in ten CEOs now say their role is at ...

But as organizations gain experience with generative AI, many are discovering that the endpoint itself is becoming an ...

Large-scale recommendation systems are becoming harder to improve because they no longer operate as isolated models. Modern ...

But also, cloud computing is for everyone, but not for every organisation’s IT budget where (for example) AI token usage ...

LTCi may be recommended, and the clients may perceive themselves healthy enough to buy it, but certain conditions could prev ...

AI-speed risk requires identity-defined reachability within Zero Trust, reducing exposure and enabling continuous policy ...

AMD EPYC is poised for the AI CPU supercycle, powering inference and agentic AI with strong TCO and efficiency—alongside Instinct & Helios. Click for this update.

Years into the AI boom, advertising still struggles to turn AI into real business value. Cadent and Movable Ink explain why infrastructure, not models, is the key to making AI work at enterprise scale ...