What Has The Industry Learned After The First Big Year Of Generative AI?

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Nicolás Ávila أخبار

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Nicolás Ávila, Chief Technology Officer for North America at Globant. Read Nicolás Ávila's full executive profile here.

Enterprise technology is no stranger to hype. It feels like every few months, there’s a new, hot trend that claims to transform the industry, disrupt business models and leave hesitant companies in the dust of irrelevance.

Other technologies, however, have become true game changers. That’s clearly the case for large language models . We’re seeing businesses gain greater value from ChatGPT and other generative AI tools, develop critical experience and expertise with these technologies, and discover innovative use cases and applications to drive business growth.

You will get a better return if you spend money in the pursuit of tangible business results rather than projects that sound exciting. Before making any AI-related investments—especially investments in complex, multiyear projects—take a step back to understand the technology, the business environment and your unique goals and challenges. An educated and rational approach to enterprise technology investments will always win against rushed decisions designed to prove something about your company.

By investing in AI capabilities that empower employees and supercharge their productivity, you will get more work done and, more importantly, give employees time to focus on new or advanced tasks.

 

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