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Building generative AI applications is too hard, developers say [Video]

A new survey reveals that AI developers face many challenges, including a skills gap and frustration with immature processes and inadequate tools.

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When everyone touts the benefits of generative artificial intelligence, telling the world how much easier it will make all of our lives, many developers who actually have to build those miracle apps are of a different opinion, according to a new survey sponsored by IBM.

The survey gathered input from more than 1,000 enterprise developers in the US, who enumerated the challenges they face in creating generative AIapplications.

Process challenges

Unsurprisingly, one key issue is the skills gap. Less than one quarter of application developers (24%) consider themselves experts in generative AI when asked to rate their proficiency and professional experience in the field. Among the seven self-identified categories of developer surveyed (AI developer, data scientist, software engineer, system developer, machine learning (ML) engineer, software developer, IT engineer, AI engineer, and application developer), the only groups …

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