IBM is moving forward with its plans to promote its cognitive computing platform Watson in Brazil, one of the main target markets for the company. The bank has now announced that it will make its Watson-based artificial intelligence system available to end consumers. IBM's cognitive computing system, Watson, is more than just a champion Jeopardy contestant. Insurance conglomerate SulAmérica has also been using Watson as part of its own digital transformation process and is one of IBM's first Brazilian clients to go live with a pilot of the artificial intelligence platform.
Earlier this year, IBM scientists collaborated with researchers at the University of Alberta and the IBM Alberta Centre for Advanced Studies (CAS) to publish new research regarding the use of AI and machine learning algorithms to predict instances of schizophrenia with a 74 percent accuracy. Using AI and machine learning, 'computational psychiatry' can be used to help clinicians more quickly assess – and therefore treat – patients with schizophrenia. In this schizophrenia research, we have learned that powerful technology can be used to predict the likelihood of a previously-unseen patient having schizophrenia. This kind of innovative collaboration is just one example of the work being done between IBM and the University of Alberta through the IBM Alberta Centre for Advanced Studies.
A scathing report from investment bank Jefferies claims that from an earnings per share perspective "it seems unlikely to us under almost any scenario that Watson will generate meaningful earnings results over the next few years". While exact figures for Watson aren't given, Jefferies pulled together a range of information, including market research data and public filings, to build financial models predicting Watson's future prospects. "Watson services are offered on either a subscription or a pay-per-use basis and everyone can get started for free," an IBM spokesperson told WIRED. "Watson is clearly part of IBM's Strategic Imperatives, whose figures are reported," an IBM spokesperson told WIRED when quizzed on whether the supercomputer is making any money.
The research, published in May's npj Schizophrenia, with University of Alberta postdoctoral researcher Mina Gheiratmand as the primary author, was able to predict instances of schizophrenia with 74 per cent accuracy. Mina Gheiratmand, primary author of the research study using brain MRI scans to identify schizophrenia in patients, in Edmonton, July 20, 2017. These are still the early stages, Gheiratmand said, of using these technologies in practice. "If you have a model that can predict the disease at earlier stages, then you can intervene earlier," she said.
A team of researchers from the University of Alberta, Canada and tech giant IBM has developed artificial intelligence and machine learning algorithms, which can diagnose schizophrenia by studying the blood flow of the brain. The study of the human brain has been a challenging medical field, especially brain related ailments such as Schizophrenia. The team behind the research also aims to employ the algorithm in research for other diseases such as Huntington's disease, and provide a better insight into a brain afflicted with them. The company's AI software called Watson is being employed in genomics research for cancer.
Last week, investment bank Jefferies released a report warning shareholders not to expect IBM's investments in AI to repay themselves; Watson, it said, risks being eclipsed by competing AI platforms from Google, Amazon, and Microsoft. In fact, like all the AI systems in use today, Watson needs to be carefully trained with example data to take on a new kind of problem. Microsoft CEO Satya Nadella has made so-called "cognitive services" a central part of his effort to build up Microsoft's cloud business. The Mountain View juggernaut has even set up a unit of engineers that work with cloud customers to build up machine learning and AI projects, a model with echoes of IBM's own services business.
According to a blog post published Thursday, IBM Watson distinguished engineer and master inventor Rama Akkiraju said the new Tone Analyzer for Customer Engagement tool is designed to help customer service agents and chatbots craft appropriate responses to frustrated, sad, or satisfied customers. Through linguistic analysis, the tool can pick up on seven different types of tone via conversations with customer service agents and chatbots: frustration, satisfaction, excitement, politeness, impoliteness, sadness and sympathy. "The new feature makes a chatbot tone-aware, enabling it to provide unique responses to frustrated, sad, or satisfied customers," Akkiraju said in the blog post. And the IBM Services Platform with Watson will also bolster adoption.
However, pioneering research conducted by IBM and the University of Alberta could soon help doctors diagnose the onset of the disease and the severity of its symptoms using a simple MRI scan and a neural network built to look at blood flow within the brain. The research team first trained its neural network on a 95-member dataset of anonymized fMRI images from the Function Biomedical Informatics Research Network which included scans of both patients with schizophrenia and a healthy control group. From this data, the neural network cobbled together a predictive model of the likelihood that a patient suffered from schizophrenia based on the blood flow. What's more, the model managed to also predict the severity of symptoms once they set in.
Such is the case with IBM as they are restructuring Global Technology Services division based on the recent surge of artificial intelligence or AI. This feature, powered by Watson, may help the platform gain some inches in the network infrastructure market as IBM understands that relying on older products such as OS or computer will not be enough and it has to invest heavily on products such as cloud and AI which are gaining leagues in the market. There are quite a few competitors out there such as Microsoft, Cisco as well as Google who are taking big strides in the world of artificial intelligence and promoting automation heavily across servers and customer bases so that networks become faster. In fact, Microsoft's recent layoff strategy to reorganize the Salesforce to focus more than ever on cloud and AI is indicative of these shifts.
So later, freestyle matches were organized in which supercomputers could play against human chess players assisted by AI (they were called human/AI centaurs). In 2014 in a Freestyle Battle, the AI chess players won 42 games, but centaurs won 53 games. Recently, the AI research branch of the search giant, Google, launched its Google Deepmind Health project, which is used to mine the data of medical records in order to provide better and faster health services. Google DeepMind already launched a partnership with the UK's National Health Service to improve the process of delivering care with digital solutions.