Getting AI from the lab to production


Did you miss a session from the Future of Work Summit? The enterprise is eager to push AI out of the lab and into production environments, where it will hopefully usher in a new era of productivity and profitability. But this is not as easy as it seems because it turns out that AI tends to behave much differently in the test bed than it does in the real world. Getting over this hump between the lab and actual applications is quickly emerging as the next major objective in the race to deploy AI. Since intelligent technology requires a steady flow of reliable data to function properly, a controlled environment is not necessarily the proving ground that it is for traditional software.

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