What to do when AI brings more questions than answers

All the sessions from Transform 2021 are available on-demand now. The concept of uncertainty in the context of AI can be difficult to grasp at first. At a high level, uncertainty means working with imperfect or incomplete information, but there are countless different potential sources of uncertainty. Some, like missing information, unreliable information, conflicting information, noisy information, and confusing information, are especially challenging to address without a grasp of the causes. Even the best-trained AI systems can't be right 100% of the time.