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How to break the 'AI hype cycle'


Akamai CTO Robert Blumofe offers four tips for business leaders striving to empower employees with the right tools and best use cases.

Most enterprise problems require more complex solutions beyond writing clever prompts to organize basic forms of structured data. That means knowing when approaches like deep learning (to recognize patterns) or symbolic AI (to craft logical responses) are a better bet. Akamai’s IT team may cry uncle at some point, given bandwidth use and computing costs, Blumofe conceded — but until that happens, he said, he feels no need to evaluate each possible AI use case.

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When to ignore — and believe — the AI hype cycle