In the 1990s, IBM helped its traditional corporate customers adapt to the internet.
Alchemy data news ibm watson news explorer Pc#
PC sales really took off after IBM entered the market in 1981, endorsing the small machines as essential tools in corporate offices. The company so dominated the market for mainframe computers that it was the target of a federal antitrust case. Time and again during its 110-year history, IBM has ushered in new technology and sold it to corporations. The march of artificial intelligence through the mainstream economy, it turns out, will be more step-by-step evolution than cataclysmic revolution. Today, instead of being a shorthand for technological prowess, Watson stands out as a sobering example of the pitfalls of technological hype and hubris around A.I. The implications could be profound.īut the grand visions of the past are gone.
systems can write original prose and generate an image at your command. system to understand how easy it is for a computer to generate fake faces. Are These People Real?: We created our own A.I.Predicting Shapes: A lab that had in 2020 unveiled technology that could predict the shape of proteins has now released predictions for nearly every protein known to science.Product people, they say, might have better understood that Watson had been custom-built for a quiz show, a powerful but limited technology. The company’s top management, current and former IBM insiders noted, was dominated until recently by executives with backgrounds in services and sales rather than technology product experts. Martin Kohn, a former chief medical scientist at IBM Research, recalled recommending using Watson for narrow “credibility demonstrations,” like more accurately predicting whether an individual will have an adverse reaction to a specific drug, rather than to recommend cancer treatments. Saxena, who is now executive chairman of Cognitive Scale, an A.I. “The challenges turned out to be far more difficult and time-consuming than anticipated,” said Mr.
Manoj Saxena, a former general manager of the Watson business, said that the original objective - to do pioneering work that was good for society - was laudable. While the shares of those three have multiplied in value many times, IBM’s stock price is down more than 10 percent since Watson’s “Jeopardy!” triumph in 2011. The company trails rivals that emerged as the leaders in cloud computing and A.I. Inside IBM, Watson was thought of as a technology that could do for the company what the mainframe computer once did - provide an engine of growth and profits for years, even decades. It was going to breathe new life into IBM - a giant company, but one dependent on its legacy products. Watson was featured on “60 Minutes.” For many people, Watson became synonymous with A.I.Īnd Watson wasn’t just going to change industries. IBM’s television ads included playful chats Watson had with Serena Williams and Bob Dylan. An IBM report called it “the future of knowing.” The potential uses, IBM suggested, were boundless, from spotting new market opportunities to tackling cancer and climate change. IBM poured many millions of dollars in the next few years into promoting Watson as a benevolent digital assistant that would help hospitals and farms as well as offices and factories. a more sophisticated application is the “ To find out more about this service read theīuilding with watson – using the news api since currently the ibm connect conference is going on, news about this event is found.Ĭurl -g "&return=,&start=now-2d&end=now&q.entity=|text=ibm,type=company|&q.type=positive&count=25&outputmode=json" with the following command you can invoke a query for positive news about ibm in the last two days.
To analyze text and to perform more than just simple keyword based searches. the news api uses internally several of the Indexes 250k to 300k english language news and blog articles every day and stores the last two months. this allows, for example, to build applications focussed on trend analysis for certain topics, companies or people. Provides an api to access news and blog content from the last 60 days enriched with meta information like sentiments and entities identified through natural language processing.
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