March 27, 2012
Since its infamous Jeopardy win over a year ago, IBM's AI-darling Watson has been busy establishing real-world relationships in the financial and health care sectors. Back in September, IBM and health insurer WellPoint teamed up to develop the first commercial applications for the IBM Watson technology. Then in December, WellPoint announced that the new offerings would be used to help physicians diagnose and treat cancer patients. Cedars-Sinai Samuel Oschin Comprehensive Cancer Institute joined the partnership to provide expert guidance.
Earlier this month, IBM announced its AI prodigy Watson would be put to work helping the financial services sector as part of a partnership between Big Blue and Citigroup. IBM Watson's deep analytical abilities are a perfect match for organizations looking to rapidly uncover valuable insights from massive data stores.
According to the release, "Watson's ability to analyze the meaning and context of human language, and quickly process vast amounts of information to suggest options targeted to a consumers' individual circumstances, can help accelerate and assist decision makers in identifying opportunities, evaluating risks, and exploring alternative actions that are best suited for their clients."
Not much else was known about Watson's plans outside these few press releases, but then IBM made the unlikely move to unveil its Watson strategy in a Twitter chat room. "IBM Watson and Cloud" became the lead topic for the March #cloudchat. A complete transcript of the discussion is available here, while the IBM-sponsored section of Wired, Cloudline, offers a synopsis of the key points.
And key point number one is that "[Watson] is ONLY available as a service." This was in response to a question about when Watson-as-a-Service would be commercially available, to which IBM added that publicly-available use cases would not be available anytime soon. In response to a query about the best use case for Watson, IBM further responded that "[Watson] in cloud does not necessarily mean a public, consumer use case. It's a deployment choice for clients."
The first question for the Twitter chat: "What is IBM Watson and how does it tie in with cloud?"
The responses are from IBM Watson (@IBMWatson) unless otherwise noted:
When asked what IBM Watson would be able to do in five years and whether there be other Watson-like machines, IBM responded that Watson is "best suited for use cases involving critical decision making based on large volumes of unstructured data." IBM also stated, "Watson is a client-driven initiative. IBM pushes it in directions our clients need."
Speaking of big data, IBM presents the following scenarios as evidence of the need for analytics technologies like Watson:
As for whether Watson is the smartest machine on the planet, the company says the real goal is to make users smarter: "[Watson] is a machine and only as smart as the people that contribute to it," says IBM.
10/30/2013 | Cray, DDN, Mellanox, NetApp, ScaleMP, Supermicro, Xyratex | Creating data is easy… the challenge is getting it to the right place to make use of it. This paper discusses fresh solutions that can directly increase I/O efficiency, and the applications of these solutions to current, and new technology infrastructures.
10/01/2013 | IBM | A new trend is developing in the HPC space that is also affecting enterprise computing productivity with the arrival of “ultra-dense” hyper-scale servers.
Ken Claffey, SVP and General Manager at Xyratex, presents ClusterStor at the Vendor Showdown at ISC13 in Leipzig, Germany.
Join HPCwire Editor Nicole Hemsoth and Dr. David Bader from Georgia Tech as they take center stage on opening night at Atlanta's first Big Data Kick Off Week, filmed in front of a live audience. Nicole and David look at the evolution of HPC, today's big data challenges, discuss real world solutions, and reveal their predictions. Exactly what does the future holds for HPC?