"This speaks to the skills gap in the generative AI space," said Ritika Gunnar, general manager, Data and AI at IBM, in a blog post. "For many developers, this is new terrain with a steep learning curve - and fast innovation cycles mean new technology is constant."
"Compounding the skills gap is a lack of clarity when it comes to reliable frameworks and toolkits," she said. "Survey respondents listed the lack of a standardized AI development process as a top challenge, along with prioritizing transparency and traceability."
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