We published the first edition of this paper on how to drive productivity in the areas of machine learning and deep learning in 2019. What has changed since then? How is the way forward looking now? Read on about this second edition and download your copy at the bottom.
The AI productivity challenge: 2nd edition
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This is an updated second edition of an introductory paper on how to drive productivity in the areas of machine learning and deep learning. The paper highlights some of the key barriers to getting good outcomes in these projects and then outlines some potential functions or capabilities organizations should consider as they look at technologies to help support their AI programs, updated to the developments since the time of the first publishing. Fill in the form to download the paper.