How to reskill your workforce for AI:
. So yes, this is big reason why there has been a major increase in adoption and implementation.
“In our recent State of Software Engineer report, we found that demand for data engineers has increased by 38% and demand growth for machine learning engineers has increased by 27% in the last year,” said Mehul Patel, who is the CEO of. “Based on data from our career marketplace, we believe the difficulty of recruiting for tech talent with specialized skills in machine learning and AI will continue to become increasingly competitive.
But of course, this option has its issues as well. Let’s face it, acquisitions can be difficult to integrate, especially when the target has a workforce with highly specialized skillsets.: With the growth in AI, there has also been the emergence of innovative automation tools, whether from startups or even the mega tech operators. For example, this week Microsoft introduced a new set of systems to streamline the process.
Now this does not mean that a platform is a panacea, as there still needs to be qualified data scientists. But then again, there will be far more efficiency and scale with AI projects.
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