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Here are 10 things you may not know about the big hitter from Bagdad the one in Florida! Just as well really because we are pretty sure he is the only golfer in the world who plays the game in such an unorthodox fashion…who the hell could teach him?! Bubba, or Blubba, has had the waterworks in full flow following each and every one of his professional victories.
It is also pink for a reason and not just because he is a bit loopy! Bubba sees shots differently to every other tour pro out there. Huge carving slices and raking hooks are the order of the day for the two-timehov Masters champ! This leads us to believe he probably would have hit the same shot that one him The Masters playoff had he been sitting pretty in the middle of the fairway!
Watch Bubba go driver, driver, putt for an amazing eagle at Kapalua in Hawaii. Apparently the two like to give each other plenty of stick on the course with Bubba calling Woods a short hitter and Woods constantly reminding him of his superior major haul! Alright this one you probably do know…Bubba is all about feel and has no concept of how the golf swing works. While technically sound players like Adam Scott, Rory McIlroy and Luke Donald understand and employ the mechanics of the swing to produce different shots Bubba simply does it. These various parts, acquired and built on IBM's Bluemix, combine to allow various players in the data science food chain to play a role in solving business problems.
A precursor to Watson's potential as a data operating system is highlighted in IBM's Data Science Experience, a collection of tools designed to provide insights. Indeed, Watson Data Platform has been adding new functionality around cataloguing data and understanding what state it is in. That cataloguing effort is the linchpin to everything from common workflows to applying the governance and rules needed to analyze it. In a nutshell, the easier IBM can make it for companies to move data into Watson Data Platform and make it consumable the faster it can be a data science operating system.
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Schoettle in an interview came back to the Watson as data operating system a good bit. IBM's bet is that the company that best helps businesses benefit from their primary natural resource -- data -- is the one that wins over the next decade. It's hard to argue with Schoettle's take. Data science today is an aggregation of parts and roles and piecemeal applications. That state makes sense given that data science itself is a combination of disciplines ranging from business intelligence and analysis to data science to mathematics and statistics.
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Simplifying the moving technology parts of data science will enable business leaders to more easily transform their businesses. IBM wants to make Watson Data Platform a dynamic catalog that can be modeled and shared across all teams and functions. The company that creates a data science operating system is also likely to play a big role in artificial intelligence. Schoettle added that there has been a good reception to the idea of Watson as an operating system that can be consumed as a cloud service.
One big wild card for a Watson data science OS will be importing enterprise data. Let's face it: Many, if not most, companies struggle with their own data rat nests. If enterprises don't have their data houses in order no technology is going to serve as a magic bullet. You're not going to fix a poop show with technology. Another wild card will be pricing and packaging. Historically, operating systems are bought all at once. The functions are a buffet. A cloud model, however, allows customers to buy functions and specific services.
Packaging, pricing, and look and feel of the Watson Data Platform will be critical. None of the three players responded incorrectly to a clue.
The first round was broadcast February 14, , and the second round, on February 15, The right to choose the first category had been determined by a draw won by Rutter. 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? Then Watson said "What is s? In another instance, Watson was initially given credit for a response of "What is 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. Watson took a commanding lead in Double Jeopardy!
Rutter and Jennings gave the correct response of Chicago , but Watson's response was "What is Toronto????? 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. This lack of confidence was the reason for the multiple question marks in Watson's response.
During the introduction, Trebek a Canadian native joked that he had learned Toronto was a U.
In the first round, Jennings was finally able to choose a Daily Double clue,  while Watson responded to one Daily Double clue incorrectly for the first time in the Double Jeopardy! 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. Philosopher John Searle argues that Watson—despite impressive capabilities—cannot actually think. On February 28, , Watson played an untelevised exhibition match of Jeopardy!
In the first round, Rush D. Holt, Jr. D-NJ, a former Jeopardy!
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. 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.
Weber, IBM's general counsel , that Watson may be used for legal research. Watson is based on commercially available IBM Power servers that have been marketed since February IBM expects the price to decrease substantially within a decade as the technology improves. 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. In , 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. In November , 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 organizations and individuals have signed up with IBM, with interest in creating applications that could use the Watson platform. On January 30, , 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. On June 3, , three new Watson Ecosystem partners were chosen from more than business concepts submitted by teams spanning 18 industries from 43 countries.
On July 9, , Genesys Telecommunications Laboratories announced plans to integrate Watson to improve their customer experience platform, citing the sheer volume of customer data to analyze is staggering.
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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 the artificial intelligence of Watson has also been found in the hospitality industry. GoMoment uses Watson for its Rev1 app, which gives hotel staff a way to quickly respond to questions from guests. OmniEarth, Inc. In February , Rare Carat, a New York City -based startup and e-commerce platform for buying diamonds and diamond rings, introduced an IBM Watson-powered artificial intelligence chatbot called "Rocky" to assist novice diamond buyers through the daunting process of purchasing a diamond.
It uses Watson's Conversation applications programming interface. In healthcare, 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 and the increase in artificial intelligence in healthcare for use by medical professionals. In February , 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.
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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. In September , IBM and WellPoint now Anthem announced a partnership to utilize Watson's data crunching capability to help suggest treatment options to physicians.
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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. 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  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. It is said that IBM Watson will be carrying the knowledge-base of cancer specialists which will bring a revolution in the field of healthcare.
IBM is regarded as a disruptive innovation. However the stream of oncology is still in its nascent stage. 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. In Eliza Strickland calls "the Watson Health story [ 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.
According to IBM, the cloud-delivered enterprise-ready Watson has seen its speed increase 24 times over—a 2, percent improvement in performance and its physical size shrank by 90 percent—from the size of a master bedroom to three stacked pizza boxes. Watson is being used via IBM partner program as a Chatterbot to provide the conversation for children's toys. GoFetchCode applies Watson's natural language processing and question-answering capabilities to the International Code Council 's model building codes.
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. 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.
IBM Watson together with Marchesa designed a dress that changed the colour of the fabric depending on the mood of the audience.