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Preparing for Practical AI

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IN THIS CHAPTER

Focusing on benefits, not technology

Focusing on the power of visualization

Embracing data as the new currency

Defining use cases

Considering the value that AI can bring to an organization, it’s no wonder that the world is experiencing an AI renaissance. Gartner reported that the adoption rate for AI in the enterprise increased 270 percent between 2015 and 2019, and that trend shows no signs of slowing.

A 2018 Deloitte report found that the primary focus of enterprise AI deployments has been to optimize internal and external operations, make better decisions, and free workers to be more creative.

However, launching an AI initiative is not as simple as setting up powerful processors and massive storage and then throwing a bunch of data at it. It’s a powerful beast and must be approached with all due caution.

Before you obsess on technology, you should take a deep breath and focus on a benefit. Identify specific use cases that are compatible with an AI solution. Next, evaluate the business case for each use case and solution, specifically for a near-future benefit. Then you can do a gap assessment to identify the next steps for moving forward.

Enterprise AI For Dummies

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