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"Le supercalculateur Watson d'IBM doit commencer son travail d'évaluation en matière de traitement du cancer, à l'hôpital Cedars-Sinai de Los Angeles. Il pourra suggérer aux médecins le traitement le plus adapté en quelques secondes."
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Là où Watson se montre vraiment utile dans ce contexte, c'est sur la richesse des informations qu'il est capable de traiter, informations en constante évolution, qui lui parviennent sous différentes formes, structurées et non structurées, depuis des systèmes eux-mêmes disparates », a expliqué Steve Gold. « Le secteur de la santé est particulièrement bien adapté pour tirer profit de cette compétence. »
"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)...
"This is also our guiding principle at Darwin. We want to better enable people to make decisions by using Chaos Theory principles to let the content self-organize and then creating useful content visualizations to facilitate the human mind’s ability to sort through content as you will soon see. It is the opposite of semantic technology that tries to get the computer to understand language and do some of the cognitive work. There can be a place for both."
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So the issue is not whether computers will outpace people but how the two can work together.
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"In grandiose fashion, IBM chose to challenge two of the legendary winners of the TV game show Jeopardy at their own game. Over the course of three nights and two full games, Watson bested 74-game champion Ken Jennings and all-time top money winner Brad Rutter.
While this was certainly a major PR coup for IBM, the underlying technology can have significant impact on applications computer systems will be able to support, and on the types of capabilities we see developing in unified communications (UC)."
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However, if you can combine that ability to sort through masses of information with a smart human who can help avoid the obviously “dumb” answers, you’ve got a killer problem solve
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With the mountains of new data that are produced each day, that type of natural language problem-solving ability could find applications in any number of disciplines
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"Beyond extending our physical capabilities, tools have played a major role in the evolution of our brain and mental powers: “Using tools has been interpreted as a sign of intelligence, and it has been theorized that tool use may have stimulated certain aspects of human evolution - most notably the continued expansion of the human brain.” "
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Moreover, using these increasingly powerful IT tools, we are now able to address significantly more sophisticated and complex problems than ever - in science, engineering, business and society in general.
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Nowhere does this comparison of machines to humans generate more interest than in matters relating to artificial intelligence, perhaps because we are seeing our tools begin to approach, and perhaps some day surpass, our most distinguished human capability.
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"It took IBM 25 scientists and four years to program the computer to understand the language used in jeopardy, select and store the necessary knowledge (if could not be connected to the Internet, federal regulations — ever seen the movie “Quiz Show”), and have it learn the rules and regulations of the game – in addition to train it to play the game. Four years, 25 language scientists.
The problem to be solved is far larger than your customer service implementation, right? Right? Well, this is where the lessons learned come in – if you take the time to analyze the results…"
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Chose the knowledge you need to use wisely, and be very, very good at keeping that number small and manageable; trim unnecessary and add necessary swiftly. It is far worse to not find the one you need that to have 119,999 you don’t.
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Now, think about the many decisions you as a human would have to make if you were playing Jeopardy, and the speed at which you would have to execute those actions. If you could simplify the process, reduce the number of steps, and focus on the core of what you are doing you’d be far ahead of the game. You can do this with your customer service setup: simplify the process, make sure that both customers and agents can get to THE answer faster and easier.
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"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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" I saw the future of analytics last night, and that future was fast.
How fast?
Fast enough for Watson to jump ahead by a few thousand dollars, before Brad Rutter (and the audience) caught their breath and finally caught up.
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Watson doesn’t “know” anything – at least not in the same way that we know things. But we can feed it raw data from our own vast stores of knowledge and experience.
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With every advance in technology comes a corresponding advance in our own capabilities. Watson can reveal insights about our business and our world that we can’t arrive at on our own
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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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