Image corporate board room in discussion over charts It’s a mad competition for AI talent. Job postings for machine learning and AI engineers increased 70-80% in the beginning of 2024 compared with 2023. Companies are offering new recruits substantial compensation and big budgets to poke around their internal operations, interact with employees across the business, find problems or inefficiencies, and then build AI-based solutions to address them. “But in-house developments don’t seem to be working well: Even as companies invest a lot of money, a lot of projects are failing or not delivering their promised value,” says Arvind Karunakaran, an assistant professor of engineering at Stanford and a faculty affiliate at the Stanford Institute for Human-Centered Artificial Intelligence (HAI). “Something is going on in these very early stages of […]
Original web page at hai.stanford.edu
