Three pillars of a well-implemented AI program include an improved data infrastructure, an AI process platform, and adaptable AI agents and workflows.
Instead of responding to pressure to adopt generative AI solutions, smart executives are narrowly targeting their AI projects and, once deployed, evolve their implementations based on end-user feedback.
The underlying issue is not the technology itself. It’s Shiny Object Syndrome—the belief that whatever is coming down the line will be the answer to all problems (of course, it’s not).
Repetitive tasks are strong contenders for automation. Where humans spend time repeating predictable steps, machines can often be trained to take over.
