Like other big names in the world of technology, IBM carries a redefined time. Like other big names in the world of technology, the company grew from a producer device to a service creator.
This is a known way for other firms that have found a niche in the cloud business to offer products for companies that need from online storage to analyzing vast amounts of data (which is usually referred to using terms such as hosting, analytics and big data). IBM's vision in this field, which expects apart from the competition, is the implementation of a strategy that includes a heavy dose of artificial intelligence, machine learning , speech recognition and other technologies, to many may sound like science fiction.
The idea of the company is to sell knowledge through Watson, a system that, in addition to winning Jeopardy in 2011, is intended as a platform for learning, taking vast amounts of data, you can calculate, infer, suggest, recommend. All terms very human, but in this context they live in the bowels of an ecosystem of technologies that aim to businesses move from being solely a cognitive digital.
This term is one of the most used in the IBM Insight, one of the largest annual events and the company that opened Monday in Las Vegas. With 14,000 attendees, including customers, analysts and the media, the conference is, own right, a massive issue and perhaps somewhat overwhelming.
By the way, how is a cognitive business, what is that? It is something likeWine4.me, an application developed by Vine Sleuth specializing in recommending wines according to the tastes and preferences of the buyer. Watson's suggestion makes it based on information provided by customers and interaction with the system is done in plain English. In other words, do not provide commands or fit an interface designed but have to talk to Watson, I want a wine with a little more fruity, acidic, sweet ... The system provides the best suggestion for the client, but not solely on the critical parameters. "For a critic, an elaborate and even biased palate, the wine tastes different for one of the millions of people who have an interest in wine, but no specialized knowledge. Our application is based on what you learn customer and recommended based on this, Watson is crucial in this development, as it gives us the ability to analyze the data and suggest the user ".
The words are from Amy Gross, CEO and founder of Vine Sleuth, one of the companies chosen by IBM for its inaugural session Insight as an example of what it means cognitive enterprise.
Besides this company, IBM spoke again Monday on expanding itspartnerships with Twitter and Weather Company (owners of The Weather Channel), whereby these brands use Watson and analytical capabilities to offer a kind of knowledge that emerges from the accumulation of vast amounts of data: when is the best time to invest in marketing of a product based on tweets of users (a tool used by Coca Cola, for example) or how it affects the purchasing decisions of the weather the consumers, according to David Kenny, CEO of The Weather Company.
Under the show and the presentations and workshops and conferences, so there is an intention to work with all possible information to monetize benefit analysis of virtually any business.
"With the industrial revolution we experienced an increase in production and business with the introduction of the computer era. Now let's scale growth of knowledge, "according to the vision that Mike Rhodin , vice president of Watson and IBM Watson Health. What does this mean? "This year we will have 700,000 documents for doctors. How many of them can fully read the new literature on their specialty? They need help and they know it. The systems must be new tools to capture and grow to scale the scope of knowledge. We are just beginning this revolution, but I will take some time. At least a third of our research staff is working on artificial intelligence technologies. "
The future of technology that IBM sees is one that lies beyond devices:the future is the data and how they manage to be exploited to the benefit of users and, of course, to create new business opportunities for those who know how to harness vast amount of information produced by the digital lives of virtually everyone.
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