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Last summer, a faulty CrowdStrike software update took down millions of computers, caused billions in damages, and underscored that companies are still not able to manage third-party risks, or respond quickly and efficiently to disruptions. It was an interesting case study of global cyber impact, says Charles Clancy, CTO at Mitre.
Weve developed our own agentic AI for code management, says Charles Clancy, CTO at Mitre. The best use case that seems to work well is in repository management, where itll go through and do bug fixes of code repositories. You hire us to evaluate some vendor you bring on board, says Sinclair Schuller, principal at EY.
Both types of gen AI have their benefits, says Ken Ringdahl, the companys CTO. Studies have shown that small language models, with parameter counts in the range of millions to low billions, can outperform large, generic language models in specialized tasks, says Anand Rao, AI professor at Carnegie Mellon University.
Another study finds that a whopping 93% of businesses indicate they’re facing a skills shortage. The most obvious answer is pay a premium for the best talent, or hire consultants with modern skills. How bad is it? The big challenge facing CIOs: Address this skills gap while staying current with the ever-changing tech trends.
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