Businesses are undoubtedly embracing AI as pilots are running successfully, interest is rising across business units, and demand for new use cases is accelerating. Yet as momentum grows, so does the complexity behind the scenes.
Teams are stitching together incompatible tools, juggling multiple GPU generations, managing changing software stacks, and trying to maintain control over sensitive data. At the same time, security leaders are preparing for new regulations governing how AI models should be deployed, governed and protected.
