The AI fabric
Delivering intelligent workflows requires an AI strategy at the core and platforms that enable you to deliver it. AI should always complement humans so that the synergy delivers quick outcomes. This means augmented intelligence and leveraging human expertise to develop it further, helping a workforce to focus on the tasks that add the most value and delegating the commodity tasks to the automation factory as part of the intelligent workflow. And once the AI fabric is trained enough to automate itself, the experts will monitor these workflows as yet another arm of the workforce they manage as a supervisor.
The AI fabric can be loosely defined as it relates to orchestration, with fabric relating to things working together, and there are four key threads: engagement, learning, reasoning, and doing, as depicted in the following figure. The application of AI for the interaction of humans with machines. The use of AI to learn from the patterns and then reason with what has...
