The ability to recognize new opportunities and "points of growth" depends largely on understanding the context of the business. And in this case, it is difficult for artificial intelligence to know everything that an entrepreneur knows, because this knowledge about business is not "digitized" and at best is available to the entrepreneur at the level of his experience and intuition. Consequently, artificial intelligence can't do much to help the entrepreneur in solving his strategic tasks.
However, if in one way or another we solve this problem of "digitizing" the context of the activity and put it into the results in artificial intelligence algorithms, we expect a significant increase in the entrepreneur's productivity in the following areas:
- Improvement in the quality and quantity of automatically updated analytics that are used for competitive analysis or performance studies in different parts of the business.
- The ability to predict the dynamics of perceived product value based on the analysis of past and present data.
- Improve diagnosis of existing business problems. Chronic problems in business tend to exist at different "levels" or "layers" of activity, making them often "invisible" to the entrepreneur. With artificial intelligence, these problems can be successfully diagnosed and "brought into the light" for solving.