IBM report: "AI won't just support businesses, it will define them"

"The big picture: "AI won't just support businesses, it will define them," Mohamad Ali, SVP of IBM Consulting, writes about the 63-page study, "The enterprise in 2030," to be released in conjunction with Monday's opening of the World Economic Forum in Davos, Switzerland. "By 2030, the companies that win will weave AI into every decision and operation. They will own powerful AI assets, move faster than competitors, bring innovations to market quickly, and deliver real, measurable business results using technology and automation.""

"Between the lines: Gary Cohn, IBM's vice chairman, told me in an interview as he left for Davos that people keep waiting for "the day that AI rules the world. It's just not going to happen that way. We're going to evolve over time, like most new technologies. ... AI is in that evolutionary stage, and I think that's what people keep missing.""

""Shape AI to fit, not dazzle. Start by identifying the three to five capabilities that truly set you apart - your customer relationships, specialized knowledge, operational advantages, or market position - and make sure that proprietary data can be accessed and used by AI." "Create rapid experimentation cycles to test, refine, and validate tailored models and assets - and break out of tech lock-in so embedded AI can fluidly adapt as business needs change.""

AI will define businesses by 2030 as companies integrate AI into every decision and operation. Winning companies will own AI assets, outpace competitors, launch innovations faster, and deliver measurable business results through technology and automation. AI adoption will be evolutionary rather than instantaneous, transforming roles as earlier technologies did. Firms should focus AI on three to five distinctive capabilities—customer relationships, specialized knowledge, operational advantages, or market position—and ensure proprietary data feeds AI. Organizations should run rapid experimentation cycles to test and validate tailored models, and avoid technology lock-in so embedded AI can adapt as business needs change.

Read at Axios