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

As organizations scale from co-pilots to fully autonomous digital colleagues, the challenge is building smarter operating ...

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

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

AI isn’t just another tool layer to plug into existing structures. It fundamentally changes how work should flow.

As organizations accelerate AI adoption and expand analytics capabilities, many still struggle to execute their data strategies due to unclear operating models, siloed decision-making, and ...

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

However, despite this increase in AI use and dependency, there is no progress being made in bridging the gap on data literacy ...

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

European survey shows organizations accelerating redesign efforts to unlock speed, resilience, and AI-powered growth. Key findings Only 4% of organizations have fully aligned operating models ...

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 ...