In some ways, getting started presents the most difficult part of deploying artificial intelligence (AI). One way to get started, though: Think less about algorithms and training data and more about the business problems you’d most like to solve.
When evaluating the use of AI, the core issue for any operation is data collection, storage, use and regard to it’s future implications.
The National Artificial Intelligence Institute is developing an approach to bring uniformity across the Veterans Health Administration and its various regions and medical centers.
A new program at the National Science Foundation is asking the question, what happens when algorithm graduate from training data to real world data that continues to expand and grow? Will the results remain as accurate?
