How AI and ML Support Cognitive Collaboration

AI and ML are becoming catch-all terms that cover a wide swath of computing capacity and potential, and they are sometimes incorrectly used as labels to describe other technological advances such as graphics processing unit (GPU) power. For the purposes of this piece, I will be applying the terminology and abilities of AI and ML to solve for specific collaboration-related scenarios. Artificial intelligence is often used as an umbrella term to cover various applications of machine learning. It is commonly applied to describe intelligent agents that take inputs from their environment and attempt to achieve a cognitive outcome as a human would. This requires a certain level of programming, training, or applied problem-solving to become practical.