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Wikipedia

IBM Watson

January 01, 1970

Not to be confused with IBM Watsonx, generative AI tool of IBM released in 2023.
For the IBM laboratory, see Thomas J. Watson Research Center.

IBM Watson is a computer system capable of answering questions posed in natural language.[1] It was developed as a part of IBM's DeepQA project by a research team, led by principal investigator David Ferrucci.[2] Watson was named after IBM's founder and first CEO, industrialist Thomas J. Watson.[3][4]

IBM Watson
OperatorsIBM
LocationThomas J. Watson Research Center, New York, USA
Architecture2,880 POWER7 processor threads
Memory16 terabytes of RAM
Speed80 teraFLOPS
WebsiteIBM Watson

The computer system was initially developed to answer questions on the popular quiz show Jeopardy![5] and in 2011, the Watson computer system competed on Jeopardy! against champions Brad Rutter and Ken Jennings,[3][6] winning the first-place prize of 1 million USD.[7]

In February 2013, IBM announced that Watson's first commercial application would be for utilization management decisions in lung cancer treatment, at Memorial Sloan Kettering Cancer Center, New York City, in conjunction with WellPoint (now Elevance Health).[8]

Description edit

 
The high-level architecture of IBM's DeepQA used in Watson[9]

Watson was created as a question answering (QA) computing system that IBM built to apply advanced natural language processing, information retrieval, knowledge representation, automated reasoning, and machine learning technologies to the field of open domain question answering.[1]

IBM stated that Watson uses "more than 100 different techniques to analyze natural language, identify sources, find and generate hypotheses, find and score evidence, and merge and rank hypotheses."[10]

In recent years, Watson's capabilities have been extended and the way in which Watson works has been changed to take advantage of new deployment models (Watson on IBM Cloud), evolved machine learning capabilities, and optimized hardware available to developers and researchers. [citation needed]

Software edit

Watson uses IBM's DeepQA software and the Apache UIMA (Unstructured Information Management Architecture) framework implementation. The system was written in various languages, including Java, C++, and Prolog, and runs on the SUSE Linux Enterprise Server 11 operating system using the Apache Hadoop framework to provide distributed computing.[11][12][13]

Hardware edit

The system is workload-optimized, integrating massively parallel POWER7 processors and built on IBM's DeepQA technology,[14] which it uses to generate hypotheses, gather massive evidence, and analyze data.[1] Watson employs a cluster of ninety IBM Power 750 servers, each of which uses a 3.5GHz POWER7 eight-core processor, with four threads per core. In total, the system uses 2,880 POWER7 processor threads and 16 terabytes of RAM.[14]

According to John Rennie, Watson can process 500 gigabytes (the equivalent of a million books) per second.[15] IBM master inventor and senior consultant Tony Pearson estimated Watson's hardware cost at about three million dollars.[16] Its Linpack performance stands at 80 TeraFLOPs, which is about half as fast as the cut-off line for the Top 500 Supercomputers list.[17] According to Rennie, all content was stored in Watson's RAM for the Jeopardy game because data stored on hard drives would be too slow to compete with human Jeopardy champions.[15]

Data edit

The sources of information for Watson include encyclopedias, dictionaries, thesauri, newswire articles and literary works. Watson also used databases, taxonomies and ontologies including DBPedia, WordNet and Yago.[18] The IBM team provided Watson with millions of documents, including dictionaries, encyclopedias and other reference material, that it could use to build its knowledge.[19]

Operation edit

Watson parses questions into different keywords and sentence fragments in order to find statistically related phrases.[19] Watson's main innovation was not in the creation of a new algorithm for this operation but rather its ability to quickly execute hundreds of proven language analysis algorithms simultaneously.[19][20] The more algorithms that find the same answer independently, the more likely Watson is to be correct. Once Watson has a small number of potential solutions, it is able to check against its database to ascertain whether the solution makes sense or not.[19]

Comparison with human players edit

 
Ken Jennings, Watson, and Brad Rutter in their Jeopardy! exhibition match

Watson's basic working principle is to parse keywords in a clue while searching for related terms as responses. This gives Watson some advantages and disadvantages compared with human Jeopardy! players.[21] Watson has deficiencies in understanding the context of the clues. Watson can read, analyze, and learn from natural language which gives it the ability to make human-like decisions.[22] As a result, human players usually generate responses faster than Watson, especially to short clues.[19] Watson's programming prevents it from using the popular tactic of buzzing before it is sure of its response.[19] However, Watson has consistently better reaction time on the buzzer once it has generated a response, and is immune to human players' psychological tactics, such as jumping between categories on every clue.[19][23]

In a sequence of 20 mock games of Jeopardy!, human participants were able to use the six to seven seconds that Watson needed to hear the clue and decide whether to signal for responding.[19] During that time, Watson also has to evaluate the response and determine whether it is sufficiently confident in the result to signal.[19] Part of the system used to win the Jeopardy! contest was the electronic circuitry that receives the "ready" signal and then examines whether Watson's confidence level was great enough to activate the buzzer. Given the speed of this circuitry compared to the speed of human reaction times, Watson's reaction time was faster than the human contestants except, when the human anticipated (instead of reacted to) the ready signal.[24] After signaling, Watson speaks with an electronic voice and gives the responses in Jeopardy!'s question format.[19] Watson's voice was synthesized from recordings that actor Jeff Woodman made for an IBM text-to-speech program in 2004.[25]

The Jeopardy! staff used different means to notify Watson and the human players when to buzz,[24] which was critical in many rounds.[23] The humans were notified by a light, which took them tenths of a second to perceive.[26][27] Watson was notified by an electronic signal and could activate the buzzer within about eight milliseconds.[28] The humans tried to compensate for the perception delay by anticipating the light,[29] but the variation in the anticipation time was generally too great to fall within Watson's response time.[23] Watson did not attempt to anticipate the notification signal.[27][29]

History edit

Development edit

Since Deep Blue's victory over Garry Kasparov in chess in 1997, IBM had been on the hunt for a new challenge. In 2004, IBM Research manager Charles Lickel, over dinner with coworkers, noticed that the restaurant they were in had fallen silent. He soon discovered the cause of this evening's hiatus: Ken Jennings, who was then in the middle of his successful 74-game run on Jeopardy!. Nearly the entire restaurant had piled toward the televisions, mid-meal, to watch Jeopardy!. Intrigued by the quiz show as a possible challenge for IBM, Lickel passed the idea on, and in 2005, IBM Research executive Paul Horn supported Lickel, pushing for someone in his department to take up the challenge of playing Jeopardy! with an IBM system. Though he initially had trouble finding any research staff willing to take on what looked to be a much more complex challenge than the wordless game of chess, eventually David Ferrucci took him up on the offer.[30] In competitions managed by the United States government, Watson's predecessor, a system named Piquant, was usually able to respond correctly to only about 35% of clues and often required several minutes to respond.[31][32][33] To compete successfully on Jeopardy!, Watson would need to respond in no more than a few seconds, and at that time, the problems posed by the game show were deemed to be impossible to solve.[19]

In initial tests run during 2006 by David Ferrucci, the senior manager of IBM's Semantic Analysis and Integration department, Watson was given 500 clues from past Jeopardy! programs. While the best real-life competitors buzzed in half the time and responded correctly to as many as 95% of clues, Watson's first pass could get only about 15% correct. During 2007, the IBM team was given three to five years and a staff of 15 people to solve the problems.[19] John E. Kelly III succeeded Paul Horn as head of IBM Research in 2007.[34] InformationWeek described Kelly as "the father of Watson" and credited him for encouraging the system to compete against humans on Jeopardy!.[35] By 2008, the developers had advanced Watson such that it could compete with Jeopardy! champions.[19] By February 2010, Watson could beat human Jeopardy! contestants on a regular basis.[36]

During the game, Watson had access to 200 million pages of structured and unstructured content consuming four terabytes of disk storage[11] including the full text of the 2011 edition of Wikipedia,[37] but was not connected to the Internet.[38][19] For each clue, Watson's three most probable responses were displayed on the television screen. Watson consistently outperformed its human opponents on the game's signaling device, but had trouble in a few categories, notably those having short clues containing only a few words.[citation needed]

Although the system is primarily an IBM effort, Watson's development involved faculty and graduate students from Rensselaer Polytechnic Institute, Carnegie Mellon University, University of Massachusetts Amherst, the University of Southern California's Information Sciences Institute, the University of Texas at Austin, the Massachusetts Institute of Technology, and the University of Trento,[9] as well as students from New York Medical College.[39] Among the team of IBM programmers who worked on Watson was 2001 Who Wants to Be a Millionaire? top prize winner Ed Toutant, who himself had appeared on Jeopardy! in 1989 (winning one game).[40]

Jeopardy! edit

Preparation edit

 
Watson demo at an IBM booth at a trade show

In 2008, IBM representatives communicated with Jeopardy! executive producer Harry Friedman about the possibility of having Watson compete against Ken Jennings and Brad Rutter, two of the most successful contestants on the show, and the program's producers agreed.[19][41] Watson's differences with human players had generated conflicts between IBM and Jeopardy! staff during the planning of the competition.[21] IBM repeatedly expressed concerns that the show's writers would exploit Watson's cognitive deficiencies when writing the clues, thereby turning the game into a Turing test. To alleviate that claim, a third party randomly picked the clues from previously written shows that were never broadcast.[21] Jeopardy! staff also showed concerns over Watson's reaction time on the buzzer. Originally Watson signaled electronically, but show staff requested that it press a button physically, as the human contestants would.[42] Even with a robotic "finger" pressing the buzzer, Watson remained faster than its human competitors. Ken Jennings noted, "If you're trying to win on the show, the buzzer is all", and that Watson "can knock out a microsecond-precise buzz every single time with little or no variation. Human reflexes can't compete with computer circuits in this regard."[23][29][43] Stephen Baker, a journalist who recorded Watson's development in his book Final Jeopardy, reported that the conflict between IBM and Jeopardy! became so serious in May 2010 that the competition was almost cancelled.[21] As part of the preparation, IBM constructed a mock set in a conference room at one of its technology sites to model the one used on Jeopardy!. Human players, including former Jeopardy! contestants, also participated in mock games against Watson with Todd Alan Crain of The Onion playing host.[19] About 100 test matches were conducted with Watson winning 65% of the games.[44]

To provide a physical presence in the televised games, Watson was represented by an "avatar" of a globe, inspired by the IBM "smarter planet" symbol. Jennings described the computer's avatar as a "glowing blue ball crisscrossed by 'threads' of thought—42 threads, to be precise",[45] and stated that the number of thought threads in the avatar was an in-joke referencing the significance of the number 42 in Douglas Adams' Hitchhiker's Guide to the Galaxy.[45] Joshua Davis, the artist who designed the avatar for the project, explained to Stephen Baker that there are 36 trigger-able states that Watson was able to use throughout the game to show its confidence in responding to a clue correctly; he had hoped to be able to find forty-two, to add another level to the Hitchhiker's Guide reference, but he was unable to pinpoint enough game states.[46]

A practice match was recorded on January 13, 2011, and the official matches were recorded on January 14, 2011. All participants maintained secrecy about the outcome until the match was broadcast in February.[47]

Practice match edit

In a practice match before the press on January 13, 2011, Watson won a 15-question round against Ken Jennings and Brad Rutter with a score of $4,400 to Jennings's $3,400 and Rutter's $1,200, though Jennings and Watson were tied before the final $1,000 question. None of the three players responded incorrectly to a clue.[48]

First match edit

The first round was broadcast February 14, 2011, and the second round, on February 15, 2011. The right to choose the first category had been determined by a draw won by Rutter.[49] Watson, represented by a computer monitor display and artificial voice, responded correctly to the second clue and then selected the fourth clue of the first category, a deliberate strategy to find the Daily Double as quickly as possible.[50] Watson's guess at the Daily Double location was correct. At the end of the first round, Watson was tied with Rutter at $5,000; Jennings had $2,000.[49]

Watson's performance was characterized by some quirks. In one instance, Watson repeated a reworded version of an incorrect response offered by Jennings. (Jennings said "What are the '20s?" in reference to the 1920s. Then Watson said "What is 1920s?") Because Watson could not recognize other contestants' responses, it did not know that Jennings had already given the same response. In another instance, Watson was initially given credit for a response of "What is a leg?" after Jennings incorrectly responded "What is: he only had one hand?" to a clue about George Eyser (the correct response was, "What is: he's missing a leg?"). Because Watson, unlike a human, could not have been responding to Jennings's mistake, it was decided that this response was incorrect. The broadcast version of the episode was edited to omit Trebek's original acceptance of Watson's response.[51] Watson also demonstrated complex wagering strategies on the Daily Doubles, with one bet at $6,435 and another at $1,246.[52] Gerald Tesauro, one of the IBM researchers who worked on Watson, explained that Watson's wagers were based on its confidence level for the category and a complex regression model called the Game State Evaluator.[53]

Watson took a commanding lead in Double Jeopardy!, correctly responding to both Daily Doubles. Watson responded to the second Daily Double correctly with a 32% confidence score.[52]

However, during the Final Jeopardy! round, Watson was the only contestant to miss the clue in the category U.S. Cities ("Its largest airport was named for a World War II hero; its second largest, for a World War II battle"). Rutter and Jennings gave the correct response of Chicago, but Watson's response was "What is Toronto?????" with five question marks appended indicating a lack of confidence.[52][54][55] Ferrucci offered reasons why Watson would appear to have guessed a Canadian city: categories only weakly suggest the type of response desired, the phrase "U.S. city" did not appear in the question, there are cities named Toronto in the U.S., and Toronto in Ontario has an American League baseball team.[56] Chris Welty, who also worked on Watson, suggested that it may not have been able to correctly parse the second part of the clue, "its second largest, for a World War II battle" (which was not a standalone clause despite it following a semicolon, and required context to understand that it was referring to a second-largest airport).[57] Eric Nyberg, a professor at Carnegie Mellon University and a member of the development team, stated that the error occurred because Watson does not possess the comparative knowledge to discard that potential response as not viable.[55] Although not displayed to the audience as with non-Final Jeopardy! questions, Watson's second choice was Chicago. Both Toronto and Chicago were well below Watson's confidence threshold, at 14% and 11% respectively. Watson wagered only $947 on the question.[58]

The game ended with Jennings with $4,800, Rutter with $10,400, and Watson with $35,734.[52]

Second match edit

During the introduction, Trebek (a Canadian native) joked that he had learned Toronto was a U.S. city, and Watson's error in the first match prompted an IBM engineer to wear a Toronto Blue Jays jacket to the recording of the second match.[59]

In the first round, Jennings was finally able to choose a Daily Double clue,[60] while Watson responded to one Daily Double clue incorrectly for the first time in the Double Jeopardy! Round.[61] After the first round, Watson placed second for the first time in the competition after Rutter and Jennings were briefly successful in increasing their dollar values before Watson could respond.[61][62] Nonetheless, the final result ended with a victory for Watson with a score of $77,147, besting Jennings who scored $24,000 and Rutter who scored $21,600.[63]

Final outcome edit

The prizes for the competition were $1 million for first place (Watson), $300,000 for second place (Jennings), and $200,000 for third place (Rutter). As promised, IBM donated 100% of Watson's winnings to charity, with 50% of those winnings going to World Vision and 50% going to World Community Grid.[64] Similarly, Jennings and Rutter donated 50% of their winnings to their respective charities.[65]

In acknowledgement of IBM and Watson's achievements, Jennings made an additional remark in his Final Jeopardy! response: "I for one welcome our new computer overlords", paraphrasing a joke from The Simpsons.[66][67] Jennings later wrote an article for Slate, in which he stated:

IBM has bragged to the media that Watson's question-answering skills are good for more than annoying Alex Trebek. The company sees a future in which fields like medical diagnosis, business analytics, and tech support are automated by question-answering software like Watson. Just as factory jobs were eliminated in the 20th century by new assembly-line robots, Brad and I were the first knowledge-industry workers put out of work by the new generation of 'thinking' machines. 'Quiz show contestant' may be the first job made redundant by Watson, but I'm sure it won't be the last.[45]

Philosophy edit

Philosopher John Searle argues that Watson—despite impressive capabilities—cannot actually think.[68] Drawing on his Chinese room thought experiment, Searle claims that Watson, like other computational machines, is capable only of manipulating symbols, but has no ability to understand the meaning of those symbols; however, Searle's experiment has its detractors.[69]

Match against members of the United States Congress edit

On February 28, 2011, Watson played an untelevised exhibition match of Jeopardy! against members of the United States House of Representatives. In the first round, Rush D. Holt, Jr. (D-NJ, a former Jeopardy! contestant), who was challenging the computer with Bill Cassidy (R-LA, later Senator from Louisiana), led with Watson in second place. However, combining the scores between all matches, the final score was $40,300 for Watson and $30,000 for the congressional players combined.[70]

IBM's Christopher Padilla said of the match, "The technology behind Watson represents a major advancement in computing. In the data-intensive environment of government, this type of technology can help organizations make better decisions and improve how government helps its citizens."[70]

Current and future applications edit

According to IBM, "The goal is to have computers start to interact in natural human terms across a range of applications and processes, understanding the questions that humans ask and providing answers that humans can understand and justify."[36] It has been suggested by Robert C. Weber, IBM's general counsel, that Watson may be used for legal research.[71] The company also intends to use Watson in other information-intensive fields, such as telecommunications, financial services, and government.[72]

Watson is based on commercially available IBM Power 750 servers that have been marketed since February 2010.[19]

Commentator Rick Merritt said that "there's another really important reason why it is strategic for IBM to be seen very broadly by the American public as a company that can tackle tough computer problems. A big slice of [IBM's profit] comes from selling to the U.S. government some of the biggest, most expensive systems in the world."[73]

In 2013, it was reported that three companies were working with IBM to create apps embedded with Watson technology. Fluid is developing an app for retailers, one called "The North Face", which is designed to provide advice to online shoppers. Welltok is developing an app designed to give people advice on ways to engage in activities to improve their health. MD Buyline is developing an app for the purpose of advising medical institutions on equipment procurement decisions.[74][75]

In November 2013, IBM announced it would make Watson's API available to software application providers, enabling them to build apps and services that are embedded in Watson's capabilities. To build out its base of partners who create applications on the Watson platform, IBM consults with a network of venture capital firms, which advise IBM on which of their portfolio companies may be a logical fit for what IBM calls the Watson Ecosystem. Thus far, roughly 800 organizations and individuals have signed up with IBM, with interest in creating applications that could use the Watson platform.[76]

On January 30, 2013, it was announced that Rensselaer Polytechnic Institute would receive a successor version of Watson, which would be housed at the Institute's technology park and be available to researchers and students.[77] By summer 2013, Rensselaer had become the first university to receive a Watson computer.[78]

On February 6, 2014, it was reported that IBM plans to invest $100 million in a 10-year initiative to use Watson and other IBM technologies to help countries in Africa address development problems, beginning with healthcare and education.[79]

On June 3, 2014, three new Watson Ecosystem partners were chosen from more than 400 business concepts submitted by teams spanning 18 industries from 43 countries. "These bright and enterprising organizations have discovered innovative ways to apply Watson that can deliver demonstrable business benefits", said Steve Gold, vice president, IBM Watson Group. The winners were Majestyk Apps with their adaptive educational platform, FANG (Friendly Anthropomorphic Networked Genome);[80][81] Red Ant with their retail sales trainer;[82] and GenieMD[83] with their medical recommendation service.[84]

On July 9, 2014, Genesys Telecommunications Laboratories announced plans to integrate Watson to improve their customer experience platform, citing the sheer volume of customer data to analyze.[85]

Watson has been integrated with databases including Bon Appétit magazine to perform a recipe generating platform.[86]

Watson is being used by Decibel, a music discovery startup, in its app MusicGeek which uses the supercomputer to provide music recommendations to its users. The use of Watson has also been found in the hospitality industry. Go Moment uses Watson for its Rev1 app, which gives hotel staff a way to quickly respond to questions from guests.[87] Arria NLG has built an app that helps energy companies stay within regulatory guidelines, making it easier for managers to make sense of thousands of pages of legal and technical jargon.

OmniEarth, Inc. uses Watson computer vision services to analyze satellite and aerial imagery, along with other municipal data, to infer water usage on a property-by-property basis, helping districts in California improve water conservation efforts.[88]

In September 2016, Condé Nast started using Watson to help build and strategize social influencer campaigns for brands. Using software built by IBM and Influential, Condé Nast's clients will be able to know which influencer's demographics, personality traits and more best align with a marketer and the audience it is targeting.[89]

In February 2017, Rare Carat, a New York City-based startup and e-commerce platform for buying diamonds and diamond rings, introduced an IBM Watson-powered chatbot called "Rocky" to assist novice diamond buyers through the daunting process of purchasing a diamond. As part of the IBM Global Entrepreneur Program, Rare Carat received the assistance of IBM in the development of the Rocky Chat Bot.[90][91][92] In May 2017, IBM partnered with the Pebble Beach Company to use Watson as a concierge.[93] Watson technology was added to an app developed by Pebble Beach and was used to guide visitors around the resort. The mobile app was designed by IBM iX and hosted on the IBM Cloud. It uses Watson's Conversation applications programming interface.

In November 2017, in Mexico City, the Experience Voices of Another Time was opened at the National Museum of Anthropology using IBM Watson as an alternative to visiting a museum.[94]

Healthcare edit

See also: IBM Watson Health

In healthcare, Watson has been used to analyze medical data and assist doctors in making diagnoses and treatment decisions, including in areas such as oncology and radiology.[95] Watson's natural language, hypothesis generation, and evidence-based learning capabilities are being investigated to see how Watson may contribute to clinical decision support systems.[96] To aid physicians in the treatment of their patients, once a physician has posed a query to the system describing symptoms and other related factors, Watson first parses the input to identify the most important pieces of information; then mines patient data to find facts relevant to the patient's medical and hereditary history; then examines available data sources to form and test hypotheses;[96] and finally provides a list of individualized, confidence-scored recommendations.[97] The sources of data that Watson uses for analysis can include treatment guidelines, electronic medical record data, notes from healthcare providers, research materials, clinical studies, journal articles and patient information.[96] Despite being developed and marketed as a "diagnosis and treatment advisor", Watson has never been actually involved in the medical diagnosis process, only in assisting with identifying treatment options for patients who have already been diagnosed.[98]

In February 2011, it was announced that IBM would be partnering with Nuance Communications for a research project to develop a commercial product during the next 18 to 24 months, designed to exploit Watson's clinical decision support capabilities. Physicians at Columbia University would help to identify critical issues in the practice of medicine where the system's technology may be able to contribute, and physicians at the University of Maryland would work to identify the best way that a technology like Watson could interact with medical practitioners to provide the maximum assistance.[99]

In September 2011, IBM and WellPoint (now Anthem) announced a partnership to utilize Watson to help suggest treatment options to physicians.[100] Then, in February 2013, IBM and WellPoint gave Watson its first commercial application, for utilization management decisions in lung cancer treatment at Memorial Sloan–Kettering Cancer Center.[8]

IBM announced a partnership with Cleveland Clinic in October 2012. The company has sent Watson to the Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, where it will increase its health expertise and assist medical professionals in treating patients. The medical facility will utilize Watson's ability to store and process large quantities of information to help speed up and increase the accuracy of the treatment process. "Cleveland Clinic's collaboration with IBM is exciting because it offers us the opportunity to teach Watson to 'think' in ways that have the potential to make it a powerful tool in medicine", said C. Martin Harris, MD, chief information officer of Cleveland Clinic.[101]

In 2013, IBM and MD Anderson Cancer Center began a pilot program to further the center's "mission to eradicate cancer".[102][103] However, after spending $62 million, the project did not meet its goals and it has been stopped.[104]

On February 8, 2013, IBM announced that oncologists at the Maine Center for Cancer Medicine and Westmed Medical Group in New York have started to test Watson in an effort to recommend treatment for lung cancer.[105]

On July 29, 2016, IBM and Manipal Hospitals[106][107][108] (a leading hospital chain in India) announced the launch of IBM Watson for Oncology, for cancer patients. This product provides information and insights to physicians and cancer patients to help them identify personalized, evidence-based cancer care options. Manipal Hospitals is the second hospital[109] in the world to adopt this technology and first in the world to offer it to patients online as an expert second opinion through their website.[106][110] Manipal discontinued this contract in December 2018.

On January 7, 2017, IBM and Fukoku Mutual Life Insurance entered into a contract for IBM to deliver analysis to compensation payouts via its IBM Watson Explorer AI, which resulted in the loss of 34 jobs. The company said it would speed up compensation payout analysis via analyzing claims and medical records, and increase productivity by 30%. The company also said it would save ¥140m in running costs.[111]

Several startups in the healthcare space have been effectively using seven business model archetypes to take solutions based on IBM Watson to the marketplace. These archetypes depends on the value generate for the target user (e.g. patient focus vs. healthcare provider and payer focus) and value capturing mechanisms (e.g. providing information or connecting stakeholders).[112]

By 2022, IBM Watson Health was generating about a billion dollars in annual gross revenue,[113] but was facing a lack of profitability and increased competition. One expert assessed to CNN that "IBM was clearly not gaining much traction in the healthcare market". A 2021 post from the Association for Computing Machinery (ACM) titled "What Happened To Watson Health?" described the portfolio management challenges of IBM Watson Health given the number of acquisitions involved in the Watson Health division creation in 2015, as well as technical limitations that existed at the time regarding where the Watson AI framework could be deployed.[114] In February 2021, the Wall Street Journal reported that Watson Health was exploring a sale.[115] On January 21, 2022, IBM announced the sell-off of its Watson Health unit to Francisco Partners.[116]

IBM Watson Group edit

On January 9, 2014, IBM announced it was creating a business unit around Watson, led by senior vice president Michael Rhodin.[117] IBM Watson Group will have headquarters in New York's Silicon Alley and will employ 2,000 people. IBM has invested $1 billion to get the division going. Watson Group will develop three new cloud-delivered services: Watson Discovery Advisor, Watson Engagement Advisor, and Watson Explorer. Watson Discovery Advisor will focus on research and development projects in pharmaceutical industry, publishing, and biotechnology, Watson Engagement Advisor will focus on self-service applications using insights on the basis of natural language questions posed by business users, and Watson Explorer will focus on helping enterprise users uncover and share data-driven insights based on federated search more easily.[117] The company is also launching a $100 million venture fund to spur application development for "cognitive" applications. According to IBM, the cloud-delivered enterprise-ready Watson has seen its speed increase 24 times over—a 2,300 percent improvement in performance and its physical size shrank by 90 percent—from the size of a master bedroom to three stacked pizza boxes.[117] IBM CEO Virginia Rometty said she wants Watson to generate $10 billion in annual revenue within ten years.[118] In 2017, IBM and MIT established a new joint research venture in artificial intelligence. IBM invested $240 million to create the MIT–IBM Watson AI Lab in partnership with MIT, which brings together researchers in academia and industry to advance AI research, with projects ranging from computer vision and NLP to devising new ways to ensure that AI systems are fair, reliable and secure.[119] In March 2018, IBM's CEO Ginni Rometty proposed "Watson's Law," the "use of and application of business, smart cities, consumer applications and life in general."[120]

Chefs Watson edit

Watson helped a team of chefs create five new poutines for the 2015 La Poutine Week food festival in Toronto and Montreal. It analyzed the demographics and popular cuisines of the cities and drew from a database of tens of thousands of recipes to create fusion pairings for each city.[121] IBM and Bon Appétit magazine co-created an AI cooking app known as Chef Watson.[122]

Chatbot edit

Watson is being used via IBM partner program as a chatbot to provide the conversation for children's toys.[123]

Building codes edit

In 2015, the engineering firm ENGEO created an online service via the IBM partner program named GoFetchCode. GoFetchCode applies Watson's natural language processing and question-answering capabilities to the International Code Council's model building codes.[124]

Teaching assistant edit

IBM Watson is being used for several projects relating to education, and has entered partnerships with Pearson Education, Blackboard, Sesame Workshop and Apple.[125][126]

In its partnership with Pearson, Watson is being made available inside electronic text books to provide natural language, one-on-one tutoring to students on the reading material.[127]

As an individual using the free Watson APIs available to the public, Ashok Goel, a professor at Georgia Tech, used Watson to create a virtual teaching assistant to assist students in his class.[128] Initially, Goel did not reveal the nature of "Jill", which was created with the help of a few students and IBM. Jill answered questions where it had a 97% certainty of an accurate answer, with the remainder being answered by human assistants.[129]

The research group of Sabri Pllana developed an assistant for learning parallel programming using the IBM Watson.[130] A survey with a number of novice parallel programmers at the Linnaeus University indicated that such assistants will be welcomed by students that learn parallel programming.

Weather forecasting edit

In August 2016, IBM announced it would be using Watson for weather forecasting.[131] Specifically, the company announced they would use Watson to analyze data from over 200,000 Weather Underground personal weather stations, as well as data from other sources, as a part of Project Deep Thunder.[132]

Fashion edit

IBM Watson together with Marchesa designed a dress that changed the colour of the fabric depending on the mood of the audience. The dress lit up in different colours based on the sentiment of Tweets about the dress. Tweets were passed through a Watson tone analyzer and then sent back to a small computer inside the waist of the dress.[133]

Tax preparation edit

On February 5–6, 2017, tax preparation company H&R Block began nationwide use of a Watson-based program.[134]

Advertising edit

In September 2017, IBM announced that with its acquisition of The Weather Company's advertising sales division, and a partnership with advertising neural network Cognitiv, Watson will provide AI-powered advertising solutions.[135][136][137]

See also edit

References edit

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Bibliography edit

Further reading edit

  • Baker, Stephen (2012) Final Jeopardy: The Story of Watson, the Computer That Will Transform Our World, Mariner Books.
  • Jackson, Joab (2014). IBM bets big on Watson-branded cognitive computing PCWorld: Jan 9, 2014 2:30 PM
  • Greenemeier, Larry. (2013). Will IBM's Watson Usher in a New Era of Cognitive Computing? Scientific American. Nov 13, 2013 |* Lazarus, R. S. (1982).
  • Kelly, J.E. and Hamm, S. ( 2013). Smart Machines: IBM's Watson and the Era of Cognitive Computing. Columbia Business School Publishing

External links edit

 
Wikimedia Commons has media related to IBM Watson.
  • Watson homepage
  • DeepQA homepage
  • Smartest Machine on Earth (PBS NOVA documentary about the making of Watson)
  • Power Systems
  • The Watson Trivia Challenge. The New York Times. June 16, 2010.
  • This is Watson – IBM Journal of Research and Development (published by the IEEE)

J! Archive edit

  • Jeopardy! Show #6086 – Game 1, Part 1
  • Jeopardy! Show #6087 – Game 1, Part 2
  • Jeopardy! Show #6088 – Game 2

Videos edit

  • PBS NOVA documentary on the making of Watson
  • Building Watson – A Brief Overview of the DeepQA Project on YouTube (21:42), IBMLabs
  • How Watson Answers a Question on YouTube
  • David Ferrucci, Dan Cerutti and Ken Jennings on IBM's Watson at Singularity Summit 2011 on YouTube
  • A Computer Called Watson on YouTube – November 15, 2011, David Ferrucci at Computer History Museum, alternate
  • IBM Watson and the Future of Healthcare on YouTube – 2012
  • IBM Watson-Introduction and Future Applications on YouTube – IBM at EDGE 2012
  • IBM Watson for Healthcare on YouTube – Martin Kohn, 2013
  • IBM Watson playlist, IBMLabs Watson playlist

January 01, 1970
watson, confused, with, generative, tool, released, 2023, laboratory, thomas, watson, research, center, computer, system, capable, answering, questions, posed, natural, language, developed, part, deepqa, project, research, team, principal, investigator, david,. Not to be confused with IBM Watsonx generative AI tool of IBM released in 2023 For the IBM laboratory see Thomas J Watson Research Center IBM Watson is a computer system capable of answering questions posed in natural language 1 It was developed as a part of IBM s DeepQA project by a research team led by principal investigator David Ferrucci 2 Watson was named after IBM s founder and first CEO industrialist Thomas J Watson 3 4 IBM WatsonOperatorsIBMLocationThomas J Watson Research Center New York USAArchitecture2 880 POWER7 processor threadsMemory16 terabytes of RAMSpeed80 teraFLOPSWebsiteIBM Watson The computer system was initially developed to answer questions on the popular quiz show Jeopardy 5 and in 2011 the Watson computer system competed on Jeopardy against champions Brad Rutter and Ken Jennings 3 6 winning the first place prize of 1 million USD 7 In February 2013 IBM announced that Watson s first commercial application would be for utilization management decisions in lung cancer treatment at Memorial Sloan Kettering Cancer Center New York City in conjunction with WellPoint now Elevance Health 8 Contents 1 Description 1 1 Software 1 2 Hardware 1 3 Data 2 Operation 2 1 Comparison with human players 3 History 3 1 Development 3 2 Jeopardy 3 2 1 Preparation 3 2 2 Practice match 3 2 3 First match 3 2 4 Second match 3 2 5 Final outcome 3 2 6 Philosophy 3 2 7 Match against members of the United States Congress 4 Current and future applications 4 1 Healthcare 4 2 IBM Watson Group 4 3 Chefs Watson 4 4 Chatbot 4 5 Building codes 4 6 Teaching assistant 4 7 Weather forecasting 4 8 Fashion 4 9 Tax preparation 4 10 Advertising 5 See also 6 References 7 Bibliography 8 Further reading 9 External links 9 1 J Archive 9 2 VideosDescription edit nbsp The high level architecture of IBM s DeepQA used in Watson 9 Watson was created as a question answering QA computing system that IBM built to apply advanced natural language processing information retrieval knowledge representation automated reasoning and machine learning technologies to the field of open domain question answering 1 IBM stated that Watson uses more than 100 different techniques to analyze natural language identify sources find and generate hypotheses find and score evidence and merge and rank hypotheses 10 In recent years Watson s capabilities have been extended and the way in which Watson works has been changed to take advantage of new deployment models Watson on IBM Cloud evolved machine learning capabilities and optimized hardware available to developers and researchers citation needed Software edit Watson uses IBM s DeepQA software and the Apache UIMA Unstructured Information Management Architecture framework implementation The system was written in various languages including Java C and Prolog and runs on the SUSE Linux Enterprise Server 11 operating system using the Apache Hadoop framework to provide distributed computing 11 12 13 Hardware edit The system is workload optimized integrating massively parallel POWER7 processors and built on IBM s DeepQA technology 14 which it uses to generate hypotheses gather massive evidence and analyze data 1 Watson employs a cluster of ninety IBM Power 750 servers each of which uses a 3 5GHz POWER7 eight core processor with four threads per core In total the system uses 2 880 POWER7 processor threads and 16 terabytes of RAM 14 According to John Rennie Watson can process 500 gigabytes the equivalent of a million books per second 15 IBM master inventor and senior consultant Tony Pearson estimated Watson s hardware cost at about three million dollars 16 Its Linpack performance stands at 80 TeraFLOPs which is about half as fast as the cut off line for the Top 500 Supercomputers list 17 According to Rennie all content was stored in Watson s RAM for the Jeopardy game because data stored on hard drives would be too slow to compete with human Jeopardy champions 15 Data edit The sources of information for Watson include encyclopedias dictionaries thesauri newswire articles and literary works Watson also used databases taxonomies and ontologies including DBPedia WordNet and Yago 18 The IBM team provided Watson with millions of documents including dictionaries encyclopedias and other reference material that it could use to build its knowledge 19 Operation editWatson parses questions into different keywords and sentence fragments in order to find statistically related phrases 19 Watson s main innovation was not in the creation of a new algorithm for this operation but rather its ability to quickly execute hundreds of proven language analysis algorithms simultaneously 19 20 The more algorithms that find the same answer independently the more likely Watson is to be correct Once Watson has a small number of potential solutions it is able to check against its database to ascertain whether the solution makes sense or not 19 Comparison with human players edit nbsp Ken Jennings Watson and Brad Rutter in their Jeopardy exhibition match Watson s basic working principle is to parse keywords in a clue while searching for related terms as responses This gives Watson some advantages and disadvantages compared with human Jeopardy players 21 Watson has deficiencies in understanding the context of the clues Watson can read analyze and learn from natural language which gives it the ability to make human like decisions 22 As a result human players usually generate responses faster than Watson especially to short clues 19 Watson s programming prevents it from using the popular tactic of buzzing before it is sure of its response 19 However Watson has consistently better reaction time on the buzzer once it has generated a response and is immune to human players psychological tactics such as jumping between categories on every clue 19 23 In a sequence of 20 mock games of Jeopardy human participants were able to use the six to seven seconds that Watson needed to hear the clue and decide whether to signal for responding 19 During that time Watson also has to evaluate the response and determine whether it is sufficiently confident in the result to signal 19 Part of the system used to win the Jeopardy contest was the electronic circuitry that receives the ready signal and then examines whether Watson s confidence level was great enough to activate the buzzer Given the speed of this circuitry compared to the speed of human reaction times Watson s reaction time was faster than the human contestants except when the human anticipated instead of reacted to the ready signal 24 After signaling Watson speaks with an electronic voice and gives the responses in Jeopardy s question format 19 Watson s voice was synthesized from recordings that actor Jeff Woodman made for an IBM text to speech program in 2004 25 The Jeopardy staff used different means to notify Watson and the human players when to buzz 24 which was critical in many rounds 23 The humans were notified by a light which took them tenths of a second to perceive 26 27 Watson was notified by an electronic signal and could activate the buzzer within about eight milliseconds 28 The humans tried to compensate for the perception delay by anticipating the light 29 but the variation in the anticipation time was generally too great to fall within Watson s response time 23 Watson did not attempt to anticipate the notification signal 27 29 History editDevelopment edit Since Deep Blue s victory over Garry Kasparov in chess in 1997 IBM had been on the hunt for a new challenge In 2004 IBM Research manager Charles Lickel over dinner with coworkers noticed that the restaurant they were in had fallen silent He soon discovered the cause of this evening s hiatus Ken Jennings who was then in the middle of his successful 74 game run on Jeopardy Nearly the entire restaurant had piled toward the televisions mid meal to watch Jeopardy Intrigued by the quiz show as a possible challenge for IBM Lickel passed the idea on and in 2005 IBM Research executive Paul Horn supported Lickel pushing for someone in his department to take up the challenge of playing Jeopardy with an IBM system Though he initially had trouble finding any research staff willing to take on what looked to be a much more complex challenge than the wordless game of chess eventually David Ferrucci took him up on the offer 30 In competitions managed by the United States government Watson s predecessor a system named Piquant was usually able to respond correctly to only about 35 of clues and often required several minutes to respond 31 32 33 To compete successfully on Jeopardy Watson would need to respond in no more than a few seconds and at that time the problems posed by the game show were deemed to be impossible to solve 19 In initial tests run during 2006 by David Ferrucci the senior manager of IBM s Semantic Analysis and Integration department Watson was given 500 clues from past Jeopardy programs While the best real life competitors buzzed in half the time and responded correctly to as many as 95 of clues Watson s first pass could get only about 15 correct During 2007 the IBM team was given three to five years and a staff of 15 people to solve the problems 19 John E Kelly III succeeded Paul Horn as head of IBM Research in 2007 34 InformationWeek described Kelly as the father of Watson and credited him for encouraging the system to compete against humans on Jeopardy 35 By 2008 the developers had advanced Watson such that it could compete with Jeopardy champions 19 By February 2010 Watson could beat human Jeopardy contestants on a regular basis 36 During the game Watson had access to 200 million pages of structured and unstructured content consuming four terabytes of disk storage 11 including the full text of the 2011 edition of Wikipedia 37 but was not connected to the Internet 38 19 For each clue Watson s three most probable responses were displayed on the television screen Watson consistently outperformed its human opponents on the game s signaling device but had trouble in a few categories notably those having short clues containing only a few words citation needed Although the system is primarily an IBM effort Watson s development involved faculty and graduate students from Rensselaer Polytechnic Institute Carnegie Mellon University University of Massachusetts Amherst the University of Southern California s Information Sciences Institute the University of Texas at Austin the Massachusetts Institute of Technology and the University of Trento 9 as well as students from New York Medical College 39 Among the team of IBM programmers who worked on Watson was 2001 Who Wants to Be a Millionaire top prize winner Ed Toutant who himself had appeared on Jeopardy in 1989 winning one game 40 Jeopardy edit Preparation edit nbsp Watson demo at an IBM booth at a trade show In 2008 IBM representatives communicated with Jeopardy executive producer Harry Friedman about the possibility of having Watson compete against Ken Jennings and Brad Rutter two of the most successful contestants on the show and the program s producers agreed 19 41 Watson s differences with human players had generated conflicts between IBM and Jeopardy staff during the planning of the competition 21 IBM repeatedly expressed concerns that the show s writers would exploit Watson s cognitive deficiencies when writing the clues thereby turning the game into a Turing test To alleviate that claim a third party randomly picked the clues from previously written shows that were never broadcast 21 Jeopardy staff also showed concerns over Watson s reaction time on the buzzer Originally Watson signaled electronically but show staff requested that it press a button physically as the human contestants would 42 Even with a robotic finger pressing the buzzer Watson remained faster than its human competitors Ken Jennings noted If you re trying to win on the show the buzzer is all and that Watson can knock out a microsecond precise buzz every single time with little or no variation Human reflexes can t compete with computer circuits in this regard 23 29 43 Stephen Baker a journalist who recorded Watson s development in his book Final Jeopardy reported that the conflict between IBM and Jeopardy became so serious in May 2010 that the competition was almost cancelled 21 As part of the preparation IBM constructed a mock set in a conference room at one of its technology sites to model the one used on Jeopardy Human players including former Jeopardy contestants also participated in mock games against Watson with Todd Alan Crain of The Onion playing host 19 About 100 test matches were conducted with Watson winning 65 of the games 44 To provide a physical presence in the televised games Watson was represented by an avatar of a globe inspired by the IBM smarter planet symbol Jennings described the computer s avatar as a glowing blue ball crisscrossed by threads of thought 42 threads to be precise 45 and stated that the number of thought threads in the avatar was an in joke referencing the significance of the number 42 in Douglas Adams Hitchhiker s Guide to the Galaxy 45 Joshua Davis the artist who designed the avatar for the project explained to Stephen Baker that there are 36 trigger able states that Watson was able to use throughout the game to show its confidence in responding to a clue correctly he had hoped to be able to find forty two to add another level to the Hitchhiker s Guide reference but he was unable to pinpoint enough game states 46 A practice match was recorded on January 13 2011 and the official matches were recorded on January 14 2011 All participants maintained secrecy about the outcome until the match was broadcast in February 47 Practice match edit In a practice match before the press on January 13 2011 Watson won a 15 question round against Ken Jennings and Brad Rutter with a score of 4 400 to Jennings s 3 400 and Rutter s 1 200 though Jennings and Watson were tied before the final 1 000 question None of the three players responded incorrectly to a clue 48 First match edit The first round was broadcast February 14 2011 and the second round on February 15 2011 The right to choose the first category had been determined by a draw won by Rutter 49 Watson represented by a computer monitor display and artificial voice responded correctly to the second clue and then selected the fourth clue of the first category a deliberate strategy to find the Daily Double as quickly as possible 50 Watson s guess at the Daily Double location was correct At the end of the first round Watson was tied with Rutter at 5 000 Jennings had 2 000 49 Watson s performance was characterized by some quirks In one instance Watson repeated a reworded version of an incorrect response offered by Jennings Jennings said What are the 20s in reference to the 1920s Then Watson said What is 1920s Because Watson could not recognize other contestants responses it did not know that Jennings had already given the same response In another instance Watson was initially given credit for a response of What is a leg after Jennings incorrectly responded What is he only had one hand to a clue about George Eyser the correct response was What is he s missing a leg Because Watson unlike a human could not have been responding to Jennings s mistake it was decided that this response was incorrect The broadcast version of the episode was edited to omit Trebek s original acceptance of Watson s response 51 Watson also demonstrated complex wagering strategies on the Daily Doubles with one bet at 6 435 and another at 1 246 52 Gerald Tesauro one of the IBM researchers who worked on Watson explained that Watson s wagers were based on its confidence level for the category and a complex regression model called the Game State Evaluator 53 Watson took a commanding lead in Double Jeopardy correctly responding to both Daily Doubles Watson responded to the second Daily Double correctly with a 32 confidence score 52 However during the Final Jeopardy round Watson was the only contestant to miss the clue in the category U S Cities Its largest airport was named for a World War II hero its second largest for a World War II battle Rutter and Jennings gave the correct response of Chicago but Watson s response was What is Toronto with five question marks appended indicating a lack of confidence 52 54 55 Ferrucci offered reasons why Watson would appear to have guessed a Canadian city categories only weakly suggest the type of response desired the phrase U S city did not appear in the question there are cities named Toronto in the U S and Toronto in Ontario has an American League baseball team 56 Chris Welty who also worked on Watson suggested that it may not have been able to correctly parse the second part of the clue its second largest for a World War II battle which was not a standalone clause despite it following a semicolon and required context to understand that it was referring to a second largest airport 57 Eric Nyberg a professor at Carnegie Mellon University and a member of the development team stated that the error occurred because Watson does not possess the comparative knowledge to discard that potential response as not viable 55 Although not displayed to the audience as with non Final Jeopardy questions Watson s second choice was Chicago Both Toronto and Chicago were well below Watson s confidence threshold at 14 and 11 respectively Watson wagered only 947 on the question 58 The game ended with Jennings with 4 800 Rutter with 10 400 and Watson with 35 734 52 Second match edit During the introduction Trebek a Canadian native joked that he had learned Toronto was a U S city and Watson s error in the first match prompted an IBM engineer to wear a Toronto Blue Jays jacket to the recording of the second match 59 In the first round Jennings was finally able to choose a Daily Double clue 60 while Watson responded to one Daily Double clue incorrectly for the first time in the Double Jeopardy Round 61 After the first round Watson placed second for the first time in the competition after Rutter and Jennings were briefly successful in increasing their dollar values before Watson could respond 61 62 Nonetheless the final result ended with a victory for Watson with a score of 77 147 besting Jennings who scored 24 000 and Rutter who scored 21 600 63 Final outcome edit The prizes for the competition were 1 million for first place Watson 300 000 for second place Jennings and 200 000 for third place Rutter As promised IBM donated 100 of Watson s winnings to charity with 50 of those winnings going to World Vision and 50 going to World Community Grid 64 Similarly Jennings and Rutter donated 50 of their winnings to their respective charities 65 In acknowledgement of IBM and Watson s achievements Jennings made an additional remark in his Final Jeopardy response I for one welcome our new computer overlords paraphrasing a joke from The Simpsons 66 67 Jennings later wrote an article for Slate in which he stated IBM has bragged to the media that Watson s question answering skills are good for more than annoying Alex Trebek The company sees a future in which fields like medical diagnosis business analytics and tech support are automated by question answering software like Watson Just as factory jobs were eliminated in the 20th century by new assembly line robots Brad and I were the first knowledge industry workers put out of work by the new generation of thinking machines Quiz show contestant may be the first job made redundant by Watson but I m sure it won t be the last 45 Philosophy edit Philosopher John Searle argues that Watson despite impressive capabilities cannot actually think 68 Drawing on his Chinese room thought experiment Searle claims that Watson like other computational machines is capable only of manipulating symbols but has no ability to understand the meaning of those symbols however Searle s experiment has its detractors 69 Match against members of the United States Congress edit On February 28 2011 Watson played an untelevised exhibition match of Jeopardy against members of the United States House of Representatives In the first round Rush D Holt Jr D NJ a former Jeopardy contestant who was challenging the computer with Bill Cassidy R LA later Senator from Louisiana led with Watson in second place However combining the scores between all matches the final score was 40 300 for Watson and 30 000 for the congressional players combined 70 IBM s Christopher Padilla said of the match The technology behind Watson represents a major advancement in computing In the data intensive environment of government this type of technology can help organizations make better decisions and improve how government helps its citizens 70 Current and future applications editThis section contains content that is written like an advertisement Please help improve it by removing promotional content and inappropriate external links and by adding encyclopedic content written from a neutral point of view April 2019 Learn how and when to remove this template message According to IBM The goal is to have computers start to interact in natural human terms across a range of applications and processes understanding the questions that humans ask and providing answers that humans can understand and justify 36 It has been suggested by Robert C Weber IBM s general counsel that Watson may be used for legal research 71 The company also intends to use Watson in other information intensive fields such as telecommunications financial services and government 72 Watson is based on commercially available IBM Power 750 servers that have been marketed since February 2010 19 Commentator Rick Merritt said that there s another really important reason why it is strategic for IBM to be seen very broadly by the American public as a company that can tackle tough computer problems A big slice of IBM s profit comes from selling to the U S government some of the biggest most expensive systems in the world 73 In 2013 it was reported that three companies were working with IBM to create apps embedded with Watson technology Fluid is developing an app for retailers one called The North Face which is designed to provide advice to online shoppers Welltok is developing an app designed to give people advice on ways to engage in activities to improve their health MD Buyline is developing an app for the purpose of advising medical institutions on equipment procurement decisions 74 75 In November 2013 IBM announced it would make Watson s API available to software application providers enabling them to build apps and services that are embedded in Watson s capabilities To build out its base of partners who create applications on the Watson platform IBM consults with a network of venture capital firms which advise IBM on which of their portfolio companies may be a logical fit for what IBM calls the Watson Ecosystem Thus far roughly 800 organizations and individuals have signed up with IBM with interest in creating applications that could use the Watson platform 76 On January 30 2013 it was announced that Rensselaer Polytechnic Institute would receive a successor version of Watson which would be housed at the Institute s technology park and be available to researchers and students 77 By summer 2013 Rensselaer had become the first university to receive a Watson computer 78 On February 6 2014 it was reported that IBM plans to invest 100 million in a 10 year initiative to use Watson and other IBM technologies to help countries in Africa address development problems beginning with healthcare and education 79 On June 3 2014 three new Watson Ecosystem partners were chosen from more than 400 business concepts submitted by teams spanning 18 industries from 43 countries These bright and enterprising organizations have discovered innovative ways to apply Watson that can deliver demonstrable business benefits said Steve Gold vice president IBM Watson Group The winners were Majestyk Apps with their adaptive educational platform FANG Friendly Anthropomorphic Networked Genome 80 81 Red Ant with their retail sales trainer 82 and GenieMD 83 with their medical recommendation service 84 On July 9 2014 Genesys Telecommunications Laboratories announced plans to integrate Watson to improve their customer experience platform citing the sheer volume of customer data to analyze 85 Watson has been integrated with databases including Bon Appetit magazine to perform a recipe generating platform 86 Watson is being used by Decibel a music discovery startup in its app MusicGeek which uses the supercomputer to provide music recommendations to its users The use of Watson has also been found in the hospitality industry Go Moment uses Watson for its Rev1 app which gives hotel staff a way to quickly respond to questions from guests 87 Arria NLG has built an app that helps energy companies stay within regulatory guidelines making it easier for managers to make sense of thousands of pages of legal and technical jargon OmniEarth Inc uses Watson computer vision services to analyze satellite and aerial imagery along with other municipal data to infer water usage on a property by property basis helping districts in California improve water conservation efforts 88 In September 2016 Conde Nast started using Watson to help build and strategize social influencer campaigns for brands Using software built by IBM and Influential Conde Nast s clients will be able to know which influencer s demographics personality traits and more best align with a marketer and the audience it is targeting 89 In February 2017 Rare Carat a New York City based startup and e commerce platform for buying diamonds and diamond rings introduced an IBM Watson powered chatbot called Rocky to assist novice diamond buyers through the daunting process of purchasing a diamond As part of the IBM Global Entrepreneur Program Rare Carat received the assistance of IBM in the development of the Rocky Chat Bot 90 91 92 In May 2017 IBM partnered with the Pebble Beach Company to use Watson as a concierge 93 Watson technology was added to an app developed by Pebble Beach and was used to guide visitors around the resort The mobile app was designed by IBM iX and hosted on the IBM Cloud It uses Watson s Conversation applications programming interface In November 2017 in Mexico City the Experience Voices of Another Time was opened at the National Museum of Anthropology using IBM Watson as an alternative to visiting a museum 94 Healthcare edit See also IBM Watson Health In healthcare Watson has been used to analyze medical data and assist doctors in making diagnoses and treatment decisions including in areas such as oncology and radiology 95 Watson s natural language hypothesis generation and evidence based learning capabilities are being investigated to see how Watson may contribute to clinical decision support systems 96 To aid physicians in the treatment of their patients once a physician has posed a query to the system describing symptoms and other related factors Watson first parses the input to identify the most important pieces of information then mines patient data to find facts relevant to the patient s medical and hereditary history then examines available data sources to form and test hypotheses 96 and finally provides a list of individualized confidence scored recommendations 97 The sources of data that Watson uses for analysis can include treatment guidelines electronic medical record data notes from healthcare providers research materials clinical studies journal articles and patient information 96 Despite being developed and marketed as a diagnosis and treatment advisor Watson has never been actually involved in the medical diagnosis process only in assisting with identifying treatment options for patients who have already been diagnosed 98 In February 2011 it was announced that IBM would be partnering with Nuance Communications for a research project to develop a commercial product during the next 18 to 24 months designed to exploit Watson s clinical decision support capabilities Physicians at Columbia University would help to identify critical issues in the practice of medicine where the system s technology may be able to contribute and physicians at the University of Maryland would work to identify the best way that a technology like Watson could interact with medical practitioners to provide the maximum assistance 99 In September 2011 IBM and WellPoint now Anthem announced a partnership to utilize Watson to help suggest treatment options to physicians 100 Then in February 2013 IBM and WellPoint gave Watson its first commercial application for utilization management decisions in lung cancer treatment at Memorial Sloan Kettering Cancer Center 8 IBM announced a partnership with Cleveland Clinic in October 2012 The company has sent Watson to the Cleveland Clinic Lerner College of Medicine of Case Western Reserve University where it will increase its health expertise and assist medical professionals in treating patients The medical facility will utilize Watson s ability to store and process large quantities of information to help speed up and increase the accuracy of the treatment process Cleveland Clinic s collaboration with IBM is exciting because it offers us the opportunity to teach Watson to think in ways that have the potential to make it a powerful tool in medicine said C Martin Harris MD chief information officer of Cleveland Clinic 101 In 2013 IBM and MD Anderson Cancer Center began a pilot program to further the center s mission to eradicate cancer 102 103 However after spending 62 million the project did not meet its goals and it has been stopped 104 On February 8 2013 IBM announced that oncologists at the Maine Center for Cancer Medicine and Westmed Medical Group in New York have started to test Watson in an effort to recommend treatment for lung cancer 105 On July 29 2016 IBM and Manipal Hospitals 106 107 108 a leading hospital chain in India announced the launch of IBM Watson for Oncology for cancer patients This product provides information and insights to physicians and cancer patients to help them identify personalized evidence based cancer care options Manipal Hospitals is the second hospital 109 in the world to adopt this technology and first in the world to offer it to patients online as an expert second opinion through their website 106 110 Manipal discontinued this contract in December 2018 On January 7 2017 IBM and Fukoku Mutual Life Insurance entered into a contract for IBM to deliver analysis to compensation payouts via its IBM Watson Explorer AI which resulted in the loss of 34 jobs The company said it would speed up compensation payout analysis via analyzing claims and medical records and increase productivity by 30 The company also said it would save 140m in running costs 111 Several startups in the healthcare space have been effectively using seven business model archetypes to take solutions based on IBM Watson to the marketplace These archetypes depends on the value generate for the target user e g patient focus vs healthcare provider and payer focus and value capturing mechanisms e g providing information or connecting stakeholders 112 By 2022 IBM Watson Health was generating about a billion dollars in annual gross revenue 113 but was facing a lack of profitability and increased competition One expert assessed to CNN that IBM was clearly not gaining much traction in the healthcare market A 2021 post from the Association for Computing Machinery ACM titled What Happened To Watson Health described the portfolio management challenges of IBM Watson Health given the number of acquisitions involved in the Watson Health division creation in 2015 as well as technical limitations that existed at the time regarding where the Watson AI framework could be deployed 114 In February 2021 the Wall Street Journal reported that Watson Health was exploring a sale 115 On January 21 2022 IBM announced the sell off of its Watson Health unit to Francisco Partners 116 IBM Watson Group edit On January 9 2014 IBM announced it was creating a business unit around Watson led by senior vice president Michael Rhodin 117 IBM Watson Group will have headquarters in New York s Silicon Alley and will employ 2 000 people IBM has invested 1 billion to get the division going Watson Group will develop three new cloud delivered services Watson Discovery Advisor Watson Engagement Advisor and Watson Explorer Watson Discovery Advisor will focus on research and development projects in pharmaceutical industry publishing and biotechnology Watson Engagement Advisor will focus on self service applications using insights on the basis of natural language questions posed by business users and Watson Explorer will focus on helping enterprise users uncover and share data driven insights based on federated search more easily 117 The company is also launching a 100 million venture fund to spur application development for cognitive applications According to IBM the cloud delivered enterprise ready Watson has seen its speed increase 24 times over a 2 300 percent improvement in performance and its physical size shrank by 90 percent from the size of a master bedroom to three stacked pizza boxes 117 IBM CEO Virginia Rometty said she wants Watson to generate 10 billion in annual revenue within ten years 118 In 2017 IBM and MIT established a new joint research venture in artificial intelligence IBM invested 240 million to create the MIT IBM Watson AI Lab in partnership with MIT which brings together researchers in academia and industry to advance AI research with projects ranging from computer vision and NLP to devising new ways to ensure that AI systems are fair reliable and secure 119 In March 2018 IBM s CEO Ginni Rometty proposed Watson s Law the use of and application of business smart cities consumer applications and life in general 120 Chefs Watson edit Watson helped a team of chefs create five new poutines for the 2015 La Poutine Week food festival in Toronto and Montreal It analyzed the demographics and popular cuisines of the cities and drew from a database of tens of thousands of recipes to create fusion pairings for each city 121 IBM and Bon Appetit magazine co created an AI cooking app known as Chef Watson 122 Chatbot edit Watson is being used via IBM partner program as a chatbot to provide the conversation for children s toys 123 Building codes edit In 2015 the engineering firm ENGEO created an online service via the IBM partner program named GoFetchCode GoFetchCode applies Watson s natural language processing and question answering capabilities to the International Code Council s model building codes 124 Teaching assistant edit IBM Watson is being used for several projects relating to education and has entered partnerships with Pearson Education Blackboard Sesame Workshop and Apple 125 126 In its partnership with Pearson Watson is being made available inside electronic text books to provide natural language one on one tutoring to students on the reading material 127 As an individual using the free Watson APIs available to the public Ashok Goel a professor at Georgia Tech used Watson to create a virtual teaching assistant to assist students in his class 128 Initially Goel did not reveal the nature of Jill which was created with the help of a few students and IBM Jill answered questions where it had a 97 certainty of an accurate answer with the remainder being answered by human assistants 129 The research group of Sabri Pllana developed an assistant for learning parallel programming using the IBM Watson 130 A survey with a number of novice parallel programmers at the Linnaeus University indicated that such assistants will be welcomed by students that learn parallel programming Weather forecasting edit In August 2016 IBM announced it would be using Watson for weather forecasting 131 Specifically the company announced they would use Watson to analyze data from over 200 000 Weather Underground personal weather stations as well as data from other sources as a part of Project Deep Thunder 132 Fashion edit IBM Watson together with Marchesa designed a dress that changed the colour of the fabric depending on the mood of the audience The dress lit up in different colours based on the sentiment of Tweets about the dress Tweets were passed through a Watson tone analyzer and then sent back to a small computer inside the waist of the dress 133 Tax preparation edit On February 5 6 2017 tax preparation company H amp R Block began nationwide use of a Watson based program 134 Advertising edit In September 2017 IBM announced that with its acquisition of The Weather Company s advertising sales division and a partnership with advertising neural network Cognitiv Watson will provide AI powered advertising solutions 135 136 137 See also editArtificial intelligence Blue Gene IBM Watsonx Commonsense 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Larry 2013 Will IBM s Watson Usher in a New Era of Cognitive Computing Scientific American Nov 13 2013 Lazarus R S 1982 Kelly J E and Hamm S 2013 Smart Machines IBM s Watson and the Era of Cognitive Computing Columbia Business School PublishingExternal links editThis article s use of external links may not follow Wikipedia s policies or guidelines Please improve this article by removing excessive or inappropriate external links and converting useful links where appropriate into footnote references May 2022 Learn how and when to remove this template message nbsp Wikimedia Commons has media related to IBM Watson Watson homepage DeepQA homepage About Watson on Jeopardy com Smartest Machine on Earth PBS NOVA documentary about the making of Watson Power Systems The Watson Trivia Challenge The New York Times June 16 2010 This is Watson IBM Journal of Research and Development published by the IEEE J Archive edit Jeopardy Show 6086 Game 1 Part 1 Jeopardy Show 6087 Game 1 Part 2 Jeopardy Show 6088 Game 2 Videos edit PBS NOVA documentary on the making of Watson Building Watson A Brief Overview of the DeepQA Project on YouTube 21 42 IBMLabs How Watson Answers a Question on YouTube David Ferrucci Dan Cerutti and Ken Jennings on IBM s Watson at Singularity Summit 2011 on YouTube A Computer Called Watson on YouTube November 15 2011 David Ferrucci at Computer History Museum alternate IBM Watson and the Future of Healthcare on YouTube 2012 IBM Watson Introduction and Future Applications on YouTube IBM at EDGE 2012 IBM Watson for Healthcare on YouTube Martin Kohn 2013 IBM Watson playlist IBMLabs Watson playlist Retrieved from https en wikipedia org w index php title IBM Watson amp oldid 1219694008, wikipedia, wiki, book, books, library,

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