Deborah Yao

Hong Kong–based Votee AI is betting that the next phase of enterprise AI will not be won by ever-larger global models, but by smaller, localized systems built for language, regulation and data control.

Digital learning platform Coursera is seeing a sharp rise in demand for AI training, not just from technical learners but from a broad swath of professions across the globe, according to Chief Content Officer Marni Baker Stein.

The disruption brought about by AI is making many organizations rethink the way they have been operating.

Companies have been embarking on various forms of digital transformation initiatives in past decades as transformative new technologies have arrived.

Artificial intelligence has become one of the fastest-growing corporate spending priorities in decades.

TLDR The pandemic years were tough for middle-market companies: Supply chains were disrupted, business resilience was tested and a big jump in inflation all conspired to usher in an existential crisis.

TLDR For Silicon Valley investors, the generative AI boom is reshaping how companies are built, how enterprise workflows operate and how quickly startups can scale revenue.

The responsibility of the chief information officer has traditionally been to oversee the internal technology needs of the company.

General counsels are scrambling to manage the rapid spread of AI across the enterprise, confronting a growing risk landscape that could trigger a wave of litigation, insurance disputes and governance failures.

As companies scramble to weave artificial intelligence into nearly every corporate function, executives may be surprised to learn that the most crucial part of the transition is not the technology itself.