That dream of universal expertise is what IBM says its Watson question-answering, machine-learning system makes possible. Watson can be trained to answer questions on any subject you choose. The system uses natural language processing to read huge numbers of documents, extracts and organises information about a particular topic and then refines its understanding of that subject based on human feedback. But how useful are the answers given by Watson and how difficult is it to train? One person who's well-placed to talk about using the Jeopardy!-winning

"The models used in this pilot will be designed to continue to evolve according to a user's nutrition and activity habits along with other contextual information, which may improve the ability of Watson to predict glycemic excursions and other trends through the Medtronic app," said Annette Bruls, president of Medtronic's global diabetes service and solutions unit, during the CES conference earlier in 2016.

In July, we talked about whether the change in law should be characterized as "Disruption, Eruption or Interruption?" This week, we drill down into one likely source of change, IBM's Watson. Lawyers have been thinking for a while about whether artificial intelligence would ever start to displace or complement lawyers. Richard Susskind, the leading legal futurist/technologist, did his work in this area starting in the mid-1980s. In the August issue of the ABA Journal, one of the commenters to an article about LegalZoom feared: "Once we have fully artificial intelligence enhanced programs like LegalZoom, there will be no need for lawyers, aside from the highly specialized and expensive large-law-firm variety."

The American Diabetes Association and IBM Watson Health will partner on a long-term collaboration to bring together the cognitive computing power of Watson and the ADA's vast clinical and research data. Kevin L. Hagen, ADA CEO, said the ADA and IBM Watson Health will work to build a first-of-its-kind diabetes advisor for patients and caregivers, as well as develop Watson-powered solutions to optimize clinical, research and lifestyle decisions. "The goal of this endeavor is to develop and introduce cognitive technologies that support clinicians, researchers and people living with diabetes so that we can accelerate discoveries, personalize treatment and care, and improve the lives of all people affected by diabetes," Hagen said while announcing the partnership. "We also see potential to address social determinants of health." Unlike traditional computing systems that are programmed, systems like IBM Watson learn at scale, explained IBM General Manager David Kenny.

HPE has maintained an aggressive stance on the company's proposed future in machine learning and AI at this week's Discover 2016 conference in Las Vegas.

IBM (NYSE:IBM) is a company in transition. On the one hand, there are reorganizations and layoffs as the blue giant is transforming itself into a cloud-services company. On the other hand, there are flagship research projects such as Watson or the Quantum Experience as a foreshadowing of things to come in the next few years. I recently had the opportunity to ask IBM some questions about these projects and other things on my mind. This article contains said questions and IBM's answers.

IBM's (NYSE:IBM) famed Watson artificial intelligence platform will be put to use to help match cancer patients with clinical trials. The Armonk, N.Y.-based technology giant said Froedtert & the Medical College of Wisconsin Network will adopt the Watson technology for this purpose in a project set to begin this fall. Froedtert/MCW Cancer Network are among the 1st cancer programs nationally to use the technology, according to IBM. Doctors typically try to match patients to genetically ideal clinical trials that are also the most relevant in the development spectrum. This can be a long process on multiple levels, involving reviews by clinical coordinators who manually sort through patient records and conditions.

Experience and Background: 12 years of overall experience 6 years of experience as solution Architect particularly in automation framework based solutions, Cognitive learning based solutions, Analytics solutions like descriptive, predictive, prescriptive etc. and business intelligence solutions. Experience in data modeling activities Minimum 1 years of experience in Hadoop/Big Data platform Architecture Areas of Expertise: Diverse experience in Architecture, Solution Design & Delivery Data analysis including data integration and transformation for different data formats like structured, semi-structured and unstructured Cognitive or Machine learning based algorithms and implementation Big Data concepts like Hadoop, MapReduce or Spark, NoSQL, In-memory or real time processing etc. Hardware infrastructure knowledge and sizing Well versed in concepts like data mining, text mining, data classification, pattern matching, pattern recognition etc. Advanced analytics comprising of predictive or prescriptive solutions Concepts of solution hosted in cloud infrastructure Strong Domain experience preferably in Banking, Aviation, Healthcare, Telecom (Either one of them will suffice). Tools and Technologies: Hadoop, IBM Watson or Alchemy API based tools, Java APIs, Knowledge about Python or R programing for analytical techniques, Visualization tools knowledge such as Tableau, Qlikview, Cognos, OBI, BO etc., Database knowledge including RDBMS and concepts of NoSQL, Data modeling tools, Natural Language processing Salary: Not Disclosed by Recruiter Industry: IT-Software / Software Services Functional Area: IT Software - DBA, Datawarehousing Role Category: Database Architect/Designer Role: Database Architect/Designer Keyskills: JavaMachine LearningData MiningNatural Language ProcessingSolution DesignNoSQLText MiningPythonPattern RecognitionBusiness Intelligence

Today we're excited to announce that Grain is powered by IBM Watson, unlocking a new way to connect your personal world to the world of investing. Our iOS app, where you can invest alongside friends and family, now runs on one of the most powerful cognitive engines in the world. It's a different kind of tool for a new era of computing, where people and computers work together instead of at ends. It's illumination of an aspect of life that was formerly dark. It's a way for you to take control, to build a portfolio as unique as you are.

IBM-owned The Weather Company is launching Watson Ads, a new ad tech solution that utilises machine learning to give consumers an ability to interact with digital advertising. In what the vendor claims is the first consumer use of its cognitive computing technology for advertising purposes, Watson Ads will allow advertisers to produce display ads that invite consumers to interact through voice and text with a product or service offering. The Weather Company has confirmed three brands - Campbell Soup Company, Unilever and GSK Consumer Healthcare – will be the first to take up the new ad solution when it launches later this year. As an example, the media company said a consumer could ask through natural voice recognition what they should make for dinner that night. Watson will then provide a data-driven response using a combination of machine learning and reasoning ability from datasets ingested by the system.