What’s the best way to handle this unpredictability? This is one of the many challenges businesses face today, and the difficulty keeps growing.
In the past, businesses would classify situations into categories and handle unpredictable circumstances by considering contingencies in advance for each category. However, fluctuations in demand and prices as well as diversification of individual preferences are just happening at an increasingly rapid pace.
As business activity crosses borders, businesses also face differences in national and regional cultures and customs. Attempting to accurately classify all of these would result in an overwhelming number of categories. And because envisioning all kinds of situations in advance is theoretically impossible, a business would need to constantly update its classifications and approaches, requiring a great deal of effort and cost.
The way to change this state of affairs is through AI (artificial intelligence). There are already several types of AI being used today, but each of these is limited to a specific application – merely “special-purpose AI”.
For example, there’s the AI that generates customer recommendations for retailers. There are facial recognition systems that spot faces from photo data. There are systems that answer quizzes. Technologies that identify people’s faces based on online images.
These types of AI must be designed by humans based on hypotheses of data that people would enter, implemented as programs, and analyzed and developed for each problem to which they are applied. And one disadvantage of being based on hypotheses envisioned by people is that they usually do not produce results that surpass human ideas.