PagerDuty Executive Chair Jenn Tejada explains why AI's next challenge isn't building smarter agents—it's keeping them from ...

The automation waves of the past rewarded companies with the best systems, not the most robots, and AI will be no different.

My hypothesis: (Agentic) AI Drift is inevitable cost of adaptability in random world. Experts have spent years preparing for “AI drift,” usually defined as models losing accuracy over time. This ...

Drift is not a model problem. It is an operating model problem. The failure pattern nobody labels until it becomes expensive The most dangerous enterprise AI failures don’t look like failures. They ...

The advantage AI will not be won by organizations that deploy the most tools; it will go to organizations that can see ...

Anthropic’s research into AI behavior highlights a fascinating yet challenging phenomenon known as “drift,” where models like Claude deviate from their intended roles as helpful assistants. This issue ...

Fusion Collective releases new observability tool designed specifically for AI systems Led by three ISO 42001-certified AI experts, Fusion Collective, an IT consulting firm redefining innovation by ...

The most expensive AI failure I have seen in enterprise deployments did not produce an error. No alert fired. No dashboard turned red. The system was fully ...

Safety guardrails and the accuracy of responses of AI chatbots can erode over prolonged conversations in a phenomenon known as "drift." Conversations involving mental health and emotional support can ...