As institutions work to set technology priorities and budgets for the year ahead, now is the time to determine what to add, what to consolidate, and where to get more from existing investments.
As AI systems become capable of generating genuinely novel scientific results, determining who discovered something, who deserves credit, and what role the company behind the model played will become considerably harder.
Enterprise AI spending is growing much faster than the number of organizations paying for it, according to a new Menlo Ventures report that points to a shift from buying access for employees to financing work performed by agents.
A recent report urges organizations to inventory, govern, and continuously monitor machine and agent identities.