Business/IT relationships can be standoffish at best or downright rocky. But a good and lasting one may require fundamentally different practices than you’d expect. AI experimentation that bypasses IT ...

AI investment is staggering, yet most pilots fail. Real value stems from leadership clarity, strategic alignment, and using AI to create capacity, not just cut costs. Intentionality has become the ...

Simulation environment called Magentic Marketplace is designed to safely examine how AI agents interact with humans and each other. The current model has already proven itself to be insufficient, and ...

Modern ERP can’t be a dusty relic — CIOs need modular, AI-powered systems that flex with the business instead of slowing it down. More than 80% of enterprise customers delay making changes despite ...

The longtime ITSM platform provider believes it can elevate CRM functionality by focusing more on customers, in addition to sales — and it plans to use its workflow prowess and AI capabilities to get ...

Bringing AI and data governance together helps you move fast, stay compliant, and actually get the value you expect from AI. Enterprises are racing to deploy AI — but without real governance, they're ...

An integration platform as a service (iPaaS) is a cloud-based tool for linking existing applications and data flows into new services. Here are the key use cases, examples, and vendors. Organizations ...

Apple and SAP are looking to foster a new breed of enterprise iOS developers by simplifying backend systems integrations and moving business services to the cloud. As the fruits of a relationship ...

Non-profit Both Ends Believing uses low code technology to develop digital records and methods to help vulnerable children and families connect. CIO Zafer Nalbant explains what the medical packaging ...

AI is reshaping business faster than most can adapt. Resops helps organizations turn that disruption into momentum while ...

Specialized agents deliver higher accuracy, better governance, and more predictable outcomes than generic coding tools.

Successful AI implementation in healthcare requires guidance and oversight in the form of organized AI governance. Among the many expanding responsibilities of the CIO, compliance and CX are becoming ...