AI News, Artificial intelligence: Can Watson save IBM?

Artificial intelligence: Can Watson save IBM?

There is a secret weapon in the race between leading tech companies to create the most effective forms of artificial intelligence: access to large amounts of data.

At the heart of intelligent machines are algorithms that search through large volumes of data to identify patterns and make surmises.

Machine learning — the basic technique behind many of the recent advances in AI — relies on using large amounts of data to train systems in this way.

It also spent $2bn to buy the digital assets of the Weather Company, with the aim of feeding its weather data into forecasting systems geared to understanding weather-related business risks, among other functions.

But if it can persuade customers to contribute their own data to the task of making Watson smarter, it could deliver the sort of head start that will make it hard for rivals to catch up.

Artificial intelligence: Can Watson save IBM?

There is a secret weapon in the race between leading tech companies to create the most effective forms of artificial intelligence: access to large amounts of data.

At the heart of intelligent machines are algorithms that search through large volumes of data to identify patterns and make surmises.

Machine learning — the basic technique behind many of the recent advances in AI — relies on using large amounts of data to train systems in this way.

It also spent $2bn to buy the digital assets of the Weather Company, with the aim of feeding its weather data into forecasting systems geared to understanding weather-related business risks, among other functions.

But if it can persuade customers to contribute their own data to the task of making Watson smarter, it could deliver the sort of head start that will make it hard for rivals to catch up.

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