Nowadays, when it comes to artificial intelligence, IBM's Watson computer system must be avoided. But can Watson really create billions of big businesses as IBM wants, and become the driving force behind the company's prosperity again? For this, IBM's answer is firm: it will. Therefore, IBM's investment in Watson, even if artificial intelligence is in full swing in various industries, is also one of the best. The Watson Business Unit was established in 2014 and has received billions of dollars in funding from the company. Currently, the department has approximately 10,000 employees. It has also done a big move in marketing, such as TV commercials featuring celebrities such as Serena Williams and Bob Dylan. This year, it has also demonstrated its ability to participate in the thorny issue of cancer diagnosis. It seems that everything is going very well. However, industry experts are not so optimistic. “How long does it take for IBM to build a successful business model for Watson? A researcher at Gartner, Tom AusTIn, says, “IBM has set a very large, ambitious goal for itself, but it takes a lot of time and money. Can be achieved. It's as difficult as a person going up in the stream. †But IBM insists that if you want to apply Watson technology to all walks of life (such as current health care), it will take a long time to achieve the desired results. In 2011, Watson defeated humans in the quiz game "Dangerous Edge" to win the championship is a good start. And, IBM executives also said that after several years of investment and application science projects, these efforts are gradually turning into a market that can really benefit, and the scale is quite large. Today, Watson's new contribution to genomics is also representative of the company's development strategy. IBM first entered the medical field by setting up Watson Health. Since its development in April 2015, the department has accounted for 2/3 of Watson's total employees. Three years ago, IBM experts began working with leading medical centers. It also spent more than $4 billion on acquisitions of other companies that have large amounts of medical data, such as billing records, patient medical history, X-ray and MRI images. “The intelligence of an artificial intelligence machine depends on the data you enter for it,†Mr. Kelly stressed. Today, IBM is working with Quest Diagnostics Inc. (English: Quest DiagnosTIcs, the largest clinical diagnostic company in the United States and a well-known biochemical medical device tester) to treat cancer on Monday through cloud services. Doctors provide gene sequencing and Watson diagnostic analysis to help treat cancer patients. In the future, the service will further enhance the accuracy of the diagnosis by using the genomic data and expertise of the Memorial Sloan-Kettering Cancer Center and Broad InsTItute. IBM's technology can help doctors achieve precision medicine and provide tailor-made treatments for millions of cancer patients, rather than just a few people now able to enjoy treatment at cutting-edge medical centers with genomic expertise. John E. Kelly, senior vice president of IBM Research Labs and Business Units, said: "This means that Watson can carry out a wide range of commercial promotion in the field of oncology." According to the American Cancer Society (ACS), in 2015 alone, there were as many as 1.7 million new cancer patients in the United States. IBM executives say the new genomics service is an important step for companies to build so-called ecosystems. In this system, both the company's partners and software developers use Watson technology. For programmers, Watson's strength lies in providing special code that allows the startup software to read and interpret legal documents more efficiently. For large companies, Watson can also act as an IBM consultant, for example, to help retailers customize marketing strategies and improve consumer services. Analysts say they also believe that the artificial intelligence market is expanding rapidly. In the computer field driven by big data and software algorithm innovation, artificial intelligence has become a new arena, but people are also taking higher risks in this field. Artificial intelligence is often applied to areas such as hardware, software, and services. The capital invested in this market is now about $8 billion, and IDC expects that this number will increase to 47 billion by 2020. Experts say that contemporary artificial intelligence is very similar to the Internet in the middle of the last century, and it can generate a variety of products and services on its own. "That's our goal - to make artificial intelligence everywhere," said Frank Gens, principal analyst at IDC. So, not only IBM, but also companies like Salesforce, SAP and Oracle that primarily connect with business customers, are now spending a lot of time developing artificial intelligence. But analysts say that the most likely to build an artificial intelligence operating system is a consumer Internet company with a large cloud computing business (the artificial intelligence operating system is the so-called platform that most developers can use to write applications), and Amazon, Google and Microsoft are leaders in this area. But in the future, IBM may have the opportunity to join the ranks of this leader. According to IDC, by 2020, 60% of AI applications will run on Amazon, Google, Microsoft and IBM platforms. Although IBM's artificial intelligence business is currently developing slowly, its potential is still very large. When the company released its third-quarter earnings report on Monday, some experts said that the company may continue its recent business model in the future; its new businesses, such as Watson, data analysis and cloud computing, are also in the growth stage, but Its speed of development is not enough to break the pattern of traditional hardware, software and services. Moreover, the company's earnings have been falling for more than 17 quarters. In this financial report, Watson’s earnings results have not been listed separately. According to UBS's securities research department, Watson is likely to generate $500 million in profit this year, and it will grow even faster in the future, perhaps reaching 6 billion by 2020 and reaching by 2022. Nearly 17 billion. IBM has industry knowledge, proprietary data sources that are hard to come by other companies, and tools and technologies for artificial intelligence platforms. "IBM has taken a different approach than Google, Amazon, and Microsoft," said independent analyst Judith Hurwitz. "It uses data and the talent of experts." Watson's core competitiveness is its ability to understand and interpret words very well, that is, natural language processing. Its performance in The Dangerous Edge is an example. After training, Watson only takes a few minutes to process thousands of documents. Take the achievements of the IBM Health Department in the medical field as an example. At the University of North Carolina School of Medicine, Watson is testing 1,000 cancer diagnostics from human experts. Test results show that 99% of Watson's treatment recommendations are the same as oncologists; and 30% of them, Watson also gave another treatment that doctors could not think of. More than 160,000 cancer research papers are published every year in the world, and Watson's new treatment recommendations come from papers that doctors can't read, and some come from the latest clinical trials published online. But with all the published papers and experimental results, Watson is well aware. “Dr. Norman E. Sharpless, Dean of the University Medical Center, said: “It is the future direction of development by artificial intelligence to help humans continue to tackle the work of genomics.†Via:nyTImes
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