2. Pick the right problems

Potential AI projects should be oriented around core business problems, opportunities or challenges.

To create business solutions with AI, the problems being solved must be well defined but can be as complex and far-reaching as the data is. The problems your AI can solve may be in places your organization has never gone before but are right under your nose. List as many problems as you can and, consider the following questions to find a problem suitable for AI:

What are our most pressing problems right now?
Just like any other tool in business, AI should be viewed as a tool that can help make your organization more effective, profitable or streamlined. So where is there room to improve?

What parts of our business generate revenue but currently have low profit margins?
These revenue streams could provide fertile ground for automation and acceleration via AI.

Where would we like to cut costs?
Review your costs and pinpoint the ones you’d most like to reduce. AI can help you better understand what generates costs and identify areas that could be optimized or adjusted to reduce them.

Where do we make a high percentage of errors in our work?
A well-trained AI model has the capacity to perform with far less margin of error than humans.

What work do our employees do that they don’t particularly like?
If it’s repetitive or annoying for a human to do, there might be a component of the task better done by AI.

To create business solutions with AI, the problems being solved must be well-defined but can be as complex and far-reaching as the data is. The problems your AI can solve may be in places your organization has never gone before but are right under your nose. So, list as many problems as you can, and see what’s possible.

Get started for free