AI in Slow Motion: Enterprise's Cautious Dance with GenAI

There is a surprising paradox in the realm of artificial intelligence: while generative AI (GenAI) continues to capture public imagination and headlines, its enterprise adoption is more of a cautious shuffle than a sprint.

The 2023 ML Insider survey by cnvrg.io, an Intel company, paints a picture of a corporate world intrigued yet hesitant, with only 10% of organizations fully deploying GenAI solutions.

This cautious approach reflects a broader trend in the business world, where excitement for AI's potential is tempered by the reality of implementation challenges. The hurdles? Think of them as the AI world's version of high hurdles – infrastructure complexities, skill gaps, and the sheer computing power required to run these advanced models. Financial Services and Banking are leading the pack, while sectors like Education and Telecommunications are still tying their shoelaces in the AI race.

The report highlights a critical gap between AI's promise and its practical application in enterprises. It's not just about having the tools; it's about understanding how to wield them effectively.

This slow march towards AI integration underscores a need for a more robust foundation in skills and infrastructure – a bit like building a runway before trying to take off with AI's jet engines. The question now is, how can enterprises accelerate their AI journey without tripping over these challenges?

Read the full article on VentureBeat.

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