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"Watson is designed to augment (improve) our capacity to think through complex problems, ask the right questions, judge possible solutions and make informed confident decisions based on real-world data that exists within our own memory banks and beyond."
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IBM Watson™ and Apple Siri™ are early signals of what might transform work and lifelong learning around software based personal assistants that push human beings to think more deeply and broadly about questions, answers and their personal confidence levels in making decisions.
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1) Natural Language Matters
Watson is not alive. It is not artificial intelligence. But it can (better than any other system on Earth today) understand the nuanced elements of meaning created by natural language. - 5 more annotation(s)...
"IBM a donc brillamment relevé le défi de battre les champions du jeu télévisé américain Jeopardy avec un système informatique. Watson, c’est son nom donné en souvenir de deux prestigieux Pdg qui ont marqué la vie de la compagnie pendant plusieurs décennies, s’est largement imposé face à ses adversaires. Fort de ce succès médiatique, Big Blue peut désormais envisager de nombreuses applications commerciales ? Il a déjà conclu un partenariat avec les départements médecine des universités Columbia et du Maryland pour développer une solution de diagnostic médical."
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Avec des moyens informatiques avancés et des applications d’Analytics, nous pouvons injecter de l’intelligence dans les systèmes utilisés dans les entreprises ou dans les villes. »
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Le supercalculateur Watson constitué de milliers de serveurs haut de gamme, absorbe le contenu de dizaines de millions de documents incluant des ouvrages aussi variés que des dictionnaires, des encyclopédies, des thésaurus, des encyclopédies, des taxonomies… Pour jouer à Jeopardy, Watson n’est pas relié à Internet et utilise seulement le contenu stocké sur ses propres disques durs.
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"“The technology behind Watson represents the future of data management and analytics. In the real world, this technology will help us uncover insights in everything from traffic to healthcare.”
- John Cohn, IBM Fellow, IBM Systems and Technology Group
How can the same technology used to play Jeopardy! give you better business insight?"
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By combining advanced Natural Language Processing (NLP) and DeepQA automatic question answering technology, Watson represents the future of content and data management, analytics, and systems design. IBM Watson leverages core content analysis, along with a number of other advanced technologies, to arrive at a single, precise answer within a very short period of time.
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Amazingly, Watson works like the human brain to analyze the content of a Jeopardy! question. First, it tries to understand the question to determine what is being asked. In doing so, it first needs to analyze the natural language text. Next, it tries to find reasoned answers, by analyzing a wide variety of disparate content mostly in the form of natural language documents. Finally, Watson assesses and determines the relative likelihood that the answers found, are correct based on a confidence rating.
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"Mayo Clinic, which has a campus in Jacksonville, has come a long way in just a few years, since adding a Facebook page with more than 3,000 friends, a YouTube channel with videos of doctors talking about illness, treatments and research, a health blog for consumers and another for media to improve the process of medical reporting. It’s also creating “secret groups” on Facebook to connect patients to others with similar illnesses, an area it hopes to expand in the future."
"While enterprise software projects tend to be binary - they are either launched to become the default single solution or they fail during development and pre launch - the less structured and elective use world of collaboration technologies is arguably much harder to debut and get people to show up and use."
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Lack of clear strategic intent, purpose and goals inevitably results in individuals continuing to interact and operate in their own best personal interests, to get things done in their most efficient way, and ignore any new solutions.
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Lack of clarity or intent around usage patterns can result in ad hoc uptake of enterprise collaboration systems that typically peak and then wane, having briefly been fashionable.
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