By Akimichi Takemura
When you shop online, do you ever see suggestions like “Customers who purchased this item were also interested in...”?
These suggestions are generated by algorithms crunching data from a vast pool of previous customer purchases.
This sort of data utilization is rapidly spreading across many industries and areas of society.
For example, in nursing homes sensors are installed to convert the residents’ activity into data. This is then used to check the condition of each resident by identifying any abnormalities in the residents’ activities, such as reduced or increased movement.
In car insurance, data collected from driving monitors can identify what actions will or will not lead to accidents. This prompts product proposals such as discounts on premiums for safe drivers.
And in sports, the Japanese female volleyball team analyzes data from matches and depending on the situation, changes tactics or players. It is possible to improve the defense formation by calculating the most efficient ratio of players and the most likely direction of an opposing team’s attacker in specific situations.