Enterprise AI readiness is trailing industry rhetoric as organizations struggle to modernize infrastructure, control costs and choose appropriate applications. That gap is becoming more visible as companies attempt to move from limited experimentation into systems embedded in core business operations.
Much of today’s adoption remains concentrated in large language models, edge systems and agents for calendaring, software development and process automation. Businesses have yet to broadly extend AI into supply chains, inventory management and other core functions with more demanding data, security and governance requirements, according to David Linthicum (pictured), founder and lead researcher at Linthicum Research.
“Right now we’re just getting started with AI. I know everybody thinks there’s a huge AI party out there and they haven’t been invited, but the reality is businesses and enterprises are just getting going,” he said. “They’re figuring out their…
