Introduction
In my most recent post, I covered some areas that I hope to see evolve in the next year and beyond. How we can do more with data across industries is, of course, an important consideration for data scientists, businesses, and society as a whole, as better models lead to improved products and services.
When machine learning models for cancer diagnoses show promise, we naturally rally around this positive step and rejoice in the vision of a brighter future because it’s a victory that touches us all in some way. But there are many other ways AI can and must be used for good in the world, and in my next few posts, I want to use a financial services example that affects all of us, to show how that can be achieved.