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Generative AI for cloud operations can have downsides, including an acceleration of cloud application deployments that can lead to an almost reckless approach to application development, scaling issues as generative AI systems require significant compute and storage resources, and cost overruns due to the high cost of... infoworld.com/article/3700068/ #GenerativeAI #CloudOperations #AIChallenges #softcorpremium

InfoWorld3 downsides of generative AI for cloud operationsNo one doubts the power of AI, but enterprises must realize it can also lead to deploying too many applications, scaling problems, and cost overruns.

The wave of technology workers laid off could provide an opportunity for automakers🚘. Smart cars are the next technological milestone.

The demand for software skills is only growing for automotive manufacturers, whether they are data scientists, user experience developers, or engineers who maintain cloud infrastructure and operations.

“What we’re finding is just a continuous demand for talent,” Steven Lucier, a director at Toptal says. “The level and volumes haven’t changed,” but certain skill sets are in scarce supply.

Ned Curic, who became CTO of Stellantis in 2021 after helping Amazon build an automotive business for Alexa Auto, says he’s got the engineers he needs, but adds that his hunger for more tech talent is insatiable. “It’s like ABC—always be closing—always be hiring!” he jokes.

bloomberg.com/news/articles/20