What's The Role Of Generative AI For Supply Chain Execution And Ecosystem Integration?

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What's The Role Of Generative AI For Supply Chain Execution And Ecosystem Integration?
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Mahesh Rajasekharan is the President and CEO of Cleo. Read Mahesh Rajasekharan's full executive profile here.

Given the hype, I've taken to viewing AI tools like ChatGPT as just another smart person in the room. When starting work on this article, I posed the question in the title. Here's ChatGPT's reply:

I then asked the same question of another smart guy in the room, my chief technology officer, who has a marvelous way of simplifying complex subjects. Here's the response:For business leaders trying to get their heads around AI, this explanation probably makes more sense because it provides the"why it matters" context.

We're experimenting with ChatGPT for code generation in research as well as evaluating GitHub Copilot and AWS CodeWhisperer for everyday use.by Goldman Sachs and noted that"generative AI could raise U.S. labor productivity by roughly 1.5 percentage points per year over a decade." Additionally, an April 2023conducted by Stanford University found that generative AI increased productivity by 14%—with a significant impact on less experienced workers.

Where generative AI comes in is with the never-ending byproduct of an ecosystem integration platform—data. More specifically, B2B transactional data flowing in real time that business decision-makers can use to empower their business, people, customers and partners toThe big question I pose to customers when they ask how generative AI figures into our platform is not the one in the title of this article.

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