Legacy metrics—uptime, latency, MTTR—no longer capture operational value in an AI-driven world. Mean time to prevention (MTTP ...

When it comes to AI, the winners are not sprinkling the technology on top. They are rebuilding how work happens, with AI in ...

India's tightening AI governance rules are no longer just shaping compliance strategies. They are beginning to influence ...

Enterprise IT Infrastructure and Operations (I&O) teams are entering 2026 facing a fundamental shift in expectations. The ...

Explore how redefining AI agents through cognitive operating models enhances collaboration between humans and machines, ...

Garbage in, garbage out. That is a motto insurers are focused on as AI adoption accelerates. No matter how sophisticated an ...

This work constitutes a major scholarly contribution to information systems design and offers a pragmatic blueprint for ...

Health system C-suites are approaching a pivotal inflection point. By 2030, leaders will be navigating an environment defined by persistent margin pressure, workforce scarcity, accelerating digital ...

Artificial intelligence companies are exploring locating their data centers on satellites.    Satellites address many of the ...

Rather than selling AI features, Palantir is positioning itself as a control layer for enterprise AI. That distinction ...

AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.

Srikanth Chakkilam, CEO of Covasant, shares how his team is transforming enterprise AI with the AI Agent Control Tower—bringing clarity, control, and accountability to autonomous AI systems.