Sophie Curtis of The Telegraph reports, “Today a new artificial intelligence computing system has been unveiled, which promises to transform the global workforce. Named ‘Amelia’ after American aviator and pioneer Amelia Earhart, the system is able to shoulder the burden of often tedious and laborious tasks, allowing human co-workers to take on more creative roles. ‘Watson is perhaps the best data analytics engine that exists on the planet; it is the best search engine that exists on the planet; but IBM did not set out to create a cognitive agent. Read more
Posts Tagged ‘Watson’
Barb Darrow of GigaOM recently wrote, “IBM’s Watson natural language query/cognitive computing prodigy was a huge PR coup for Big Blue. Three years ago, Watson defeated Jeopardy champ Ken Jennings on national TV and beat other challengers like a drum on a subsequent victory tour. (Ask Gigaom’s own Stacey Higginbotham about that sometime.) IBM rode that wave for years to show that despite its woes, it can still do really hard stuff. IBM wants Watson to be a $10 billion business by 2023. But, unfortunately for IBM, there is ‘not a lot of commercial application to playing Jeopardy,’ Mike Rhodin, IBM SVP for Watson, acknowledged at Emtech 2014 at MIT on Tuesday.IBM invested untold millions in Watson, so it’s now time for Watson to, in the tortured words of another Emtech presenter, become ‘a market-based solution’.” Read more
Ron Miller of TechCrunch reports, “IBM today announced a new product called Watson Analytics, one they claim will bring sophisticated big data analysis to the average business user. Watson Analytics is a cloud application that does all of the the heavy lifting related to big data processing by retrieving the data, analyzing it, cleaning it, building sophisticated visualizations and offering an environment for communicating and collaborating around the data. And lest you think that IBM is just slapping on the Watson label because it’s a well known brand (as I did), Eric Sall, vp of worldwide marketing for business analytics at IBM says that’s the not the case. The technology underlying the product including the ability to process natural language queries is built on Watson technology.” Read more
Serial entrepreneur and thought leader Nova Spivack recently wrote for Gigaom, “When we talk about the future of artificial intelligence (AI), the discussion often focuses on the advancements and capabilities of the technology, or even the risks and opportunities inherent in the potential cultural implications. What we frequently overlook, however, is the future of AI as a business. IBM Watson’s recent acquisition and deployment of Cognea signals an important shift in the AI and intelligent virtual assistant (IVA) market, and offers an indication of both of the potentials of AI as a business and the areas where the market still needs development. The AI business is about to be transformed by consolidation. Consolidation carries real risks, but it is generally a sign of technological maturation. And it’s about time, as AI is no longer simply a side project, or an R&D euphemism. AI is finally center stage.”
Tim Beyers of The Motley Fool recently wrote, “For years, International Business Machines has been dabbling with what it calls ‘cognitive computing.’ Now the company that brought you the Watson supercomputer believes it has a chip that can think like the human brain. Called TrueNorth, the chip draws on some 5.4 billion interconnected transistors to form a vast network not unlike the neural networks found in the human brain. That’s a potentially massive breakthrough, especially for Internet-connected mobile devices that encounter new data every second. We’re likely to be years away from mass production of the TrueNorth chip. And even then, experts quoted in this article in The New York Times seem to be split on its potential impact.” Read more
Context is king – at least when it comes to enterprise search. “Organizations are no longer satisfied with a list of search results — they want the single best result,” wrote Gartner in its latest Magic Quadrant for Enterprise Search report, released in mid-July. The report also says that the research firm estimates the enterprise search market to reach $2.6 billion in 2017.
The leaders list this time around includes Google with its Search Appliance, which Google touts as benefitting from Google.com’s continually evolving technology, thanks to machine learning from billions of search queries. Also on that part of the quadrant is HP Autonomy, which Gartner says is “exceptionally good at handling searches driven by queries that include surmised or contextual information;” and Coveo and Perceptive Software, both of which are quoted as offering “considerable flexibility for the design of conversational search capabilities, to reduce the ambiguity of results.”
Suzanne Kattau of Silicon Angle reports, “IBM and the United Services Automobile Association (USAA), a financial services provider for the military community, today announced they have teamed up to offer IBM’s Watson Engagement Advisor in a pilot program to assist USAA members. USAA provides insurance, banking, investments, retirement products and advice to 10.4 million current and former members of the U.S. military and their families. Named after IBM founder Thomas J. Watson, IBM Watson uses natural language processing and analytics, and can process information similar to the way people think. This helps organizations to quickly analyze, understand and respond to vast amounts of Big Data. IBM’s Watson Engagement Advisor analyzed USAA’s business data and now understands more than 3,000 documents on topics exclusive to military transitions.” Read more
DATAVERSITY™ and SemanticWeb.com have announced the first Cognitive Computing Forum in San Jose, California, on August 20-21, 2014. This two-day conference was developed to help attendees understand the new world of Cognitive Analytics, Machine Learning, Deep Learning, Reasoning and next generation Artificial Intelligence. Visit www.cognitivecomputingforum.com to view speakers, the agenda, registration options, and to learn more about this unique event.
Cognitive systems are the next stage in the evolution of smarter computing and are often described as emulating the human brain. Built upon recent advances in technologies such as natural language processing, machine learning, sensors, and neural networks, and combined with massive computational power, cognitive computing promises to bring staggering improvements to applications. Among the biggest improvements are expected in predictive analytics, robot intelligence, computer-based reasoning, and human annotation. New technologies and companies are on the horizon, and these top technologies will be represented and available to attendees throughout the event.
DATAVERSITY has enlisted a world-class group of speakers to lead the in-depth presentations at the conference. Tom Mitchell, Professor of AI and Learning at Carnegie Mellon University; Chris Welty, Research Scientist at IBM T.J. Watson Research Center; Ted Dunning, Chief Application Architect at MapR, and Google Fellow R.V. Guhaare among the industry experts on the schedule.
Discover the potential of Cognitive Computing for your organization and register your staff for this event. Register two staff members from the same organization and the third is free. See details at www.cognitivecomputingforum.com on this and other discounts available now.
The inaugural Cognitive Computing Forum will be co-located with the 10th Annual Semantic Technology & Business Conference and the fourth annual NoSQL Now! conference.
If you are a member of the press and would like to attend, please request a Press Pass by contacting Samantha Taylor at firstname.lastname@example.org.
Read the full press release here.
IBM’s quest to build Watson into a business (see our story here) took another step last week when the vendor announced the winners of its 2014 Watson Mobile Developer Challenge to create consumer and business apps with its cognitive computing capabilities.
The winners were GenieMD, Majestyk Apps, and Red Ant, whose solutions were focused respectively on the health care, educational and retail markets. But twenty-two other companies with innovative ideas of their own also made it to the finalist stage
Katie Fehrenbacher of GigaOM recently asked, “What happens when you leverage technologies like IBM’s artificial intelligence engine Watson for clean power? The answer is the awesomely named Watt-sun project, a machine learning platform that IBM Research has quietly been building over the last year, and which is now highly accurate at predicting how cloud cover, weather and atmosphere (among many other data points) affect the way solar panel systems operate.Solar forecasting has been around as long as solar panels have been plugged into the grid. But the forecasting systems historically haven’t been all that accurate, given that so many factors can contribute to the amount of sunlight that’s able to descend from the sky and onto the solar panel and then get converted into electricity.” Read more
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