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
Posts Tagged ‘IBM’
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
IBM is looking for a Research Scientist in the Accelerated Discovery Lab in San Jose, CA. According to the post, “We are looking for a Research Scientist to work with the Collaborative Discovery Research Team at IBM Research – Almaden in San Jose, CA. The team researches computational systems and user experience to support in the emerging area of big data and analytics. Our research goal is to invent new systems that can accelerate collaborative discovery by thinking more broadly about the experience of working with big data and analytics from start to finish, to enable more natural interaction and to narrow the gap between data and decisions… Read more
Apigee wants the development community to be able to seamlessly take advantage of predictive analytics in their applications.
“One of the biggest things we want to ensure is that the development community gets comfortable with powering their apps with data and insights,” says Anant Jhingran, Apigee’s VP of products and formerly CTO for IBM’s information management and data division. “That is the next wave that we see.”
Apigee wants to help them ride that wave, enabling their business to better deal with customer issues, from engagement to churn, in more personal and contextual ways. “We are in the business of helping customers take their digital assets and expose them through clean APIs so that these APIs can power the next generation of applications,” says Jhingran. But in thinking through that core business, “we realized the interactions happening through the APIs represent very powerful signals. Those signals, when combined with other contextual data that may be in the enterprise, enable some very deep insights into what is really happening in these channels.”
With today’s announcement of a new version of its Apigee Insights big data platform, all those signals generated – through API and web channels, call centers, and more – can come together in the service of predictive analytics for developers to leverage.
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.”
IBM Taps Global Network of Innovation Centers to Fuel Linux on Power Systems for Big Data and Cloud Computing
CHICAGO, Aug. 22, 2014 /PRNewswire/ — At the LinuxCon North America conference last week, IBM (NYSE: IBM) announced it is tapping into its global network of over 50 IBM Innovation Centers and IBM Client Centers to help IBM Business Partners, IT professionals, academics, and entrepreneurs develop and deliver new Big Data and cloud computing software applications for clients using Linux on IBM Power Systems servers. Read more
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
IBM is looking for a Watson Algorithm Developer to work in one of many locations around the United States. According to the post, “We are looking for researchers and/or algorithm developers with a background in statistics that specifically leveraging machine learning capabilities, unstructured data, natural language processing on the Watson Unstructured Information Management Architecture (UIMA) based pipeline. You will be expected to be flexible in performing whatever high priority software engineering work is necessary to achieve client goals. You’ll be responsible for ensuring the Watson software components are expertly designed, tested, debugged, verified, and ready for integration into IBM’s best-of-breed solutions that help organizations improve their business outcomes in the global marketplace.” Read more
Is SPARQL the SQL for NoSQL? The question will be discussed at this month’s Semantic Technology & Business Conference in San Jose by Arthur Keen, vp of solution architecture of startup SPARQL City.
It’s not the first time that the industry has considered common database query languages for NoSQL (see this story at our sister site Dataversity.net for some perspective on that). But as Keen sees it, SPARQL has the legs for the job. “What I know about SPARQL is that for every database [SQL and NoSQL alike] out there, someone has tried to put SPARQL on it,” he says, whereas other common query language efforts may be limited in database support. A factor in SPARQL’s favor is query portability across NoSQL systems. Additionally, “you can achieve much higher performance using declarative query languages like SPARQL because they specify the ‘What’ and not the ‘How’ of the query, allowing optimizers to choose the best way to implement the query,” he explains.
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