Us technology companies are able to substantially increase the capital of the company.
Artificial intelligence will bring a lot of money in advertising, Google and Microsoft.
Many ads are contextual ads are paid only for the click, so showing the right advertisements directly affect the income of search companies. A recent study by Microsoft Bing, says that, “improving the accuracy of impressions even in 0.1% will bring additional revenues to hundreds of millions of dollars.”
Google, Microsoft and other Internet giants, for obvious reasons, do not disclose information about the operations of their advertisers. But research Bing and the recent publication from Google and Alibaba give an idea of the profit potential for the deployment of new ideas AI in contextual advertising. They all describe a significant improvement in the prediction of ad clicks thanks to machine learning that sparked a surge of investment in AI.
Alibaba, one of the largest companies in the world in the field of e-Commerce also thinking about increasing their revenues through advertising algorithms. In June, the company announced the implementation of an algorithm that can predict which ads will hit the user.
Researchers Alibaba hope to surpass traditional methods of contextual recommendations that can take into account the diversity of user preferences. For example, a young person can sometimes to buy clothes, and sometimes the child. In the new algorithm it will be taken into account.
The fact that Google, Microsoft and others seek to better predict our desires can be seen as a positive phenomenon. This brings the company to a long-awaited goal: to show ads, which is not similar to advertising because it is useful. And at the same time it helps advertisers faster and cheaper to find your target audience.
Google will use machine learning to make advertising which are ordered from the Internet giant brands did not appear along with unwanted content. A few weeks of testing the AI was able to detect 5 times more such cases than it was possible to record before.
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