You've heard about how AI and machine learning are transforming businesses across industries and around the world, but you don't know how they've done it or even where to start. Figuring out the right problems to solve with machine learning can be a daunting exercise. Where are the good opportunities to leverage AI within your organization? What problems are best solved with AI? In this installment of AI Simplified, we'll give you a high-level approach to help you identify and define a potential machine learning use case that can be resolved with AI and machine learning.

Artificial intelligence (AI) and machine learning are terms widely used across industries, and it's clear that organizations that aren't on the AI and machine learning path will lose their edge and fall behind. But let's slow things down a bit. Does it ever seem like both terms are often frequently used interchangeably that it's hard to understand what they actually mean?

"Women and people of color are fighting many battles in the tech world and in the fast-growing world of artificial intelligence." When companies build diverse teams, they will usually have more diverse AI models that can help them overcome bias. One way to beat unfair bias is to say no to black box models that don't provide human-friendly explainable AI.

"The unprecedented explosion in the amount of information we are generating and collecting, thanks to the arrival of the internet and the always-online society, powers all the incredible advances we see today in the field of artificial intelligence (AI) and Big Data." Banks can better predict loan defaults, retailers can improve customer experience, and much more.