Super Bowl Lessons from Intel: Use Cognitive AI to Manage Agility
By Jim Sinur
(Aragon Research) –If you watched the Super Bowl, you saw an example of agility in action with Intel’s swarming lighted drones creating backgrounds in the sky behind Lady Gaga. By giving the drones goals of flying into the right position to participate in creating an image with the right color, images were created in the sky, such as the American flag, along with ads for sponsors.
Imagine if organizations could paint a customer experience dynamically, respond to a competitor dynamically, or intercept a market trend? Only by leveraging AI can this be accomplished—it can’t be done with human controlled responses or computer programming alone.
Dealing with Goals
As organizations move from fixed process and applications to more dynamic processes, they will change to be goal-driven. This means that all resources will swarm to the established goals and adjust when the goals are changed. AI combined with analytics will help noodle out what are the best goals initially.
Dealing with Constraints
In addition to goals, these dynamic processes and applications need boundaries to stay helpful and sometimes, even legal. This is particularly true when there are multiple constraints. AI and analytics can be helpful in establishing these boundaries/constraints initially.
Dynamically Setting Goals and Constraints
Add dynamism to the mix and now you have a new set of problems that AI is quite adept at today. AI can learn from situations collected over time, select the right set of prediction algorithms, and project the potential outcomes. All of this can be done within scenarios and policies that have been selected for in force or alternative scenarios.
Goals can not only be conflicting and competitive with each other, they are always shifting. As this shifting takes on a new speed of change, Cognitive AI can create the right balance for emerging situations. As processes and swarming agents become more goal-directed than flow-directed, organizations can act on shifting goals that leverage constraints. Cognitive AI can play a big role in setting these goals and constraints.
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