Discussions around AI have shifted from whether the tech is ready for serious enterprise use to whether companies are ready ...

In a small, highly aligned team, collective decision making can be efficient. But as an organization scales up, consensus-driven business decision making becomes a bottleneck. In the modern workforce, ...

For at least two decades, one question has structured much of how philanthropy and the social innovation ecosystem think ...

Culture does not scale linearly with revenue or headcount —it requires intentionality the faster you grow. When I joined DPR Construction in the early 1990s, we were a small startup with a shared ...

Technical decisions that advance inference capabilities can help deliver the promise of ubiquitous, accessible AI. In partnership withArm From large language models (LLMs) to reasoning agents, today’s ...

The "rogue" AI agent acting autonomously to nefarious ends receives a lot of attention but may not be the biggest AI risk for the economy. With AI model complexity reaching beyond human comprehension, ...

The fastest cars need the best brakes. It's a point that Suraj Srinivasan, professor at Harvard Business School, made during a Newsweek webinar on Tuesday, when discussing ways to manage risk while ...

Most immersive experiences today may feel stale in retrospect. Brands have invested heavily in creating spaces meant to captivate, yet these experiences all replicate the same visual and audio cues, ...

Retrieval-augmented generation breaks at scale because organizations treat it like an LLM feature rather than a platform discipline. Enterprises that succeed with RAG rely on a layered architecture.