Source: Aragon Research
By Jim Sinur
Artificial Intelligence can be leveraged quickly for business strategy by seeking out important patterns inside and outside an organization, assisting with strategic moves, and suggesting the proper actions to take – whether that is taking advantage of a situation or avoiding a potential risk. To accomplish this, AI finds the patterns of interest, points out viable alternatives, and suggests courses of action in a significantly compressed time period.
AI finds the patterns of interest, points out viable alternatives, and suggests courses of action in a significantly compressed time period.
Identifying, Sorting, and Recognizing Impact of Patterns
Signals and patterns need to be quickly sifted and aggregated into patterns of interests in order to allow managers to quickly make decisions, whether that is to to optimize their organization’s opportunities or protect their organization from emerging risks. This sifting, aggregating, and learning can be assisted and super charged by cognitive AI. Some of this recognition is likely to involve scout agents at the edge, which might be embedded in programmable chips, software bots, and sensors in and around IoT networks. Alternatively, recognition could be conducted in a more central-like fashion when combined with data, policies, rules, and constraints that have been deemed strategic in nature.
Assisting Decisions on Patterns of Interest
Once patterns are detected, AI can arrange the sequencing of evaluating simulations in parallel environments (twins), test with significant algorithms, or run inferencing approaches. Additionally, AI can select the proper visualization for human interaction and notify the proper managers of a need for decision(s). Over time, the AI agents can learn to reduce human interaction by leveraging machine intelligence while it learns what patterns are helpful or harmful.
Acting Out the Proper Responses to Patterns
Over time, AI will not only assist with better decisions on these patterns, AI will suggest changes in the actions in response to harmful or helpful patterns. AI can help optimize internal actions and test them out, and can also point to proper external actions that are crucial in responding to these strategic patterns of interest. Over time, AI can suggest changes to policies, governance, and constraints. Ultimately, AI can act alone with notifications after the fact to attain ultimate AI freedom levels.
AI has great potential to help with not only operational behaviors, but strategic responses to opportunities and threats. This may move organizations in the direction of leveraging gaming-like approaches to pattern responses and consequences.