Serdar Yegulalp of InfoWorld reports, “Those who have been chomping at the bit to use IBM’s Watson machine-intelligence service with their apps need gnaw no longer. Watson APIs are now available for public use, albeit only through IBM’s Bluemix cloud services platform. IBM’s Watson Developer Cloud now offers eight services for building what IBM describes as cognitive apps, with more services promised later on.” Read more
Posts Tagged ‘IBM’
Research firm Forrester at the end of September issued its Forrester Wave: NoSQL Key-Value Databases, Q3 2014 report. The report looked at seven enterprise-class vendors in the space: Amazon Web Services, Aerospike, Basho Technologies, Couchbase, DataStax, MapR Technologies, and Oracle.
Noting that the current adoption of NoSQL is at 20 percent and is likely to double by 2017, Forrester principal analyst and report author Noel Yuhanna and his co-authors explain that top use cases for key-value database include social and mobile apps, scale-out apps, Web 2.0, line-of-business apps, big data apps, and operational and analytical apps.
That said, he also notes that the lines between key-value store, document database and graph database NoSQL solutions are blurring, as vendors look to satisfy broader enterprise needs and better appeal to app developers. “Relational database management system vendors, such as Oracle, IBM, Microsoft and SAP, will broaden their current relational database products to include key-value, graph and document features and functionality to deliver more comprehensive data management platforms in the coming years,” the report states.
Sean Hogan of IBM recently wrote in Forbes, “Clinical trial recruitment is a data-intensive task that typically requires clinicians and researchers to manually cross reference patient data with criteria for thousands of available clinical trials. Now, Mayo Clinic and IBM have plans to tackle this data-driven challenge with IBM Watson to quickly and accurately match patients with appropriate clinical trials. Using natural language processing and powerful data analytics capabilities, Watson will help Mayo clinicians quickly sift through millions of pages of clinical trial and patient data and complete this cumbersome process in seconds. The new Watson solution will help ensure that all eligible patients are considered for clinical trials and could help accelerate medical research.” Read more
IBM is looking for a Software Engineer in San Jose, CA. According to the post, “We are looking for a software engineer 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
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
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
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