Everyone is talking about “AI” these days.

Everyone is talking about “AI” these days, but most companies have no real idea of how to put it to use in their own business.

They just know that they want some of what sounds like magic. But no vendor can help pull AI out of your company like a rabbit out of a hat.

So how do a company can succeed?

1. By understanding what business problem you are trying to solve.
2. Getting your data in order (And that doesn’t just mean your traditional sources of business and customer data)

AI isn’t just about your existing data; it might require creating or acquiring data from other sources that are relevant to your business problem, and that can be used to train the AI models that will then be used to understand and respond to that data in the real world. Think about the enormous amounts of data that needed to be collected to build today’s speech and image recognition capabilities. You need a data architecture that can support disparate sources of data.

1. You also need developers and business people alike to gain new skills and you need a culture change to adapt to a new way of working.
2. You also need to let go of many of your assumptions about the way things work.

So often, the first iteration of new technology is just used to make a slightly better version of what went before—the “horseless carriage,” so to speak—and only later do companies realize how much they might need to change their business model to truly make use of the new capabilities.

Interested in learning more about the Data to Ai journey?

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#business #ai #datatoai #aiforbusiness