10 Things Your Artificial Intelligence Initiative Needs to Succeed - InformationWeek

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Data Management // AI/Machine Learning
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4/20/2021
08:00 AM
Lisa Morgan
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10 Things Your Artificial Intelligence Initiative Needs to Succeed

In the race to implement AI, some companies may overlook important details that can mean the difference between success and failure.
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Be Clear About Why You Need AI

Credit: Pixabay
Credit: Pixabay

Many organizations are under competitive pressure to adopt AI. However, a better approach is to step back, take a look at what the organization wants to accomplish and then consider what's actually needed to do it.

"Make sure you really need AI. Creating an AI or machine learning algorithm without a plan for how to use it and managing the affects you expect from it is a waste of money and talent. Scoping the problem is the first step," said Theresa Kushner, senior director of data intelligence and automation global IT consulting company NTT DATA Services. "My experience has shown that approximately one in six projects ever makes to a return on investment."

Bear in mind AI is used for different purposes such as cost reduction, increasing revenue, predicting an outcome or optimizing a process. Even if you've concluded AI could help with such a problem, you may lack the data you need to solve the problem, Kushner said.

Lisa Morgan is a freelance writer who covers big data and BI for InformationWeek. She has contributed articles, reports, and other types of content to various publications and sites ranging from SD Times to the Economist Intelligent Unit. Frequent areas of coverage include ... View Full Bio

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