PRNewswire/ - As organizations accelerate application deployments and introduce rapid changes across their technology environments, many continue to struggle with unstable launches that strain support ...

Even as we emerge from generative AI’s tire-kicking phase, it’s still true that many (most?) enterprise artificial intelligence and machine learning projects will derail before delivering real value.

Somewhere in your organization, an AI project is dying. Perhaps it's the recommendation engine that was supposed to boost sales by 30%. Maybe it's the predictive maintenance system that promised to ...

California might have to call 911 to save its emergency communications system upgrade project. Whether the call would actually get through is another matter. While the Golden State prides itself on ...

Companies hate to admit it, but the road to production-level AI deployment is littered with proof of concepts (PoCs) that go nowhere, or failed projects that never deliver on their goals. In certain ...