BrandPost: What It Takes to Be AI Ready

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Imagine a company precisely forecasting the return on an engagement even before a single line of code is written, or evaluating the success of its offerings from the second-order data of its target audience, or maybe building intuitive systems that can assist its senior line managers. Enticing?With Gartner anticipating 75% growth in the mainstreaming of artificial intelligence in enterprise operations by as early as 2024, such prescriptive insights will be critical to remain competitive. Here a lab-type approach simplifies the task for decision-makers by estimating whether a planned AI project is aligned with institutional goals, turning a page on the earlier practices of committing substantial expenses and leaving the outcomes to chance.To read this article in full, please click here

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Imagine a company precisely forecasting the return on an engagement even before a single line of code is written, or evaluating the success of its offerings from the second-order data of its target audience, or maybe building intuitive systems that can assist its senior line managers. Enticing?

With Gartner anticipating 75% growth in the mainstreaming of artificial intelligence in enterprise operations by as early as 2024, such prescriptive insights will be critical to remain competitive. Here a lab-type approach simplifies the task for decision-makers by estimating whether a planned AI project is aligned with institutional goals, turning a page on the earlier practices of committing substantial expenses and leaving the outcomes to chance.

To read this article in full, please click here

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