IBM Makes Watson Technology Available

November 14, 2013

Nov. 14 — IBM today announced that, for the first time, it will make its IBM Watson technology available as a development platform in the cloud, to enable a worldwide community of software application providers to build a new generation of apps infused with Watson’s cognitive computing intelligence.

The move aims to spur innovation and fuel a new ecosystem of entrepreneurial software application providers – ranging from start-ups and emerging, venture capital backed businesses to established players. Together with IBM, these business partners share a vision for creating a new class of cognitive applications that transform how businesses and consumers make decisions.

To bring this shared vision to life, IBM will be launching the IBM Watson Developers Cloud, a cloud-hosted marketplace where application providers of all sizes and industries will be able to tap into resources for developing Watson-powered apps. This will include a developer toolkit, educational materials and access to Watson’s application programming interface (API).

IBM partners that build Watson-powered apps in the cloud will be able to choose from two sources of data-driven content, to prepare their apps to uncover insights for users. App providers can use their own company’s data, or access the IBM Watson Content Store, featuring third-party content that offers data-rich resources that can fuel Watson’s ever expanding knowledge.

IBM will also connect its app-building partners with skilled professionals who can help advance their creative visions into market-ready products and services. IBM has committed more than 500 of its own subject matter experts as part of the overall program, in areas such as design, development and research. In addition, application providers participating in the ecosystem are expected to be able to connect with freelance professionals whose expertise can serve as a complement to their existing teams, from programmers to app developers.

“By sharing IBM Watson’s cognitive abilities with the world, we aim to fuel a new ecosystem that accelerates innovation, creativity and entrepreneurial spirit,” said Michael Rhodin, Senior Vice President, IBM Software Solutions Group. “With this move, IBM is taking a bold step to advance the new era of cognitive computing. Together with our partners we’ll spark a new class of applications that will learn from experience, improve with each interaction and outcome, and assist in solving the most complex questions facing the industry and society.”

IBM is unveiling its new ecosystem vision with three business partners that have developed early versions of Watson-powered apps, targeted to enter the market in 2014:

FluidFluid, which builds online shopping experiences for retail businesses to drive customer engagement and conversion, is developing the Fluid Expert Personal Shopper(sm) powered by IBM Watson. The app calls upon Watson’s ability to understand the nuances of human language and uncover answers from Big Data. Consumers who use Fluid’s app will interact with rich media and dialogue with Watson, as their newfound “cognitive, expert personal shopper.” The Fluid app incorporates the information users share and questions they ask to help them make smart, satisfying purchases by putting a knowledgeable sales associate in the hands of consumers, on demand.

MD Buyline: This provider of supply chain solutions for hospitals and healthcare systems is developing an app to allow clinical and financial users to make real-time, informed decisions about medical device purchases, to improve quality, value, outcomes and patient satisfaction.Hippocrates powered by IBM Watson will provide users with access to a helpful research assistant that provides fast, evidence based recommendations from a wealth of data, to help ensure medical organizations are making the best decisions for their physicians’ and patients’ needs.

Welltok: A pioneer in the emerging field of Social Health Management™, Welltok is developing an app that will create Intelligent Health Itineraries™ for consumers. These personalized itineraries, sponsored by health plans, health systems and health retailers, will include tailored activities, relevant content and condition management programs, and will reward users for engaging in healthy behaviors. Consumers who use Welltok’s app — CaféWell Concierge powered by IBM Watson – will participate in conversations about their health with Watson. By leveraging Watson’s ability to learn from every interaction, the app will offer insights tailored to each individual’s health needs.

Accelerating the New Era of Computing  

More than two years after IBM Watson‘s triumph on the TV quiz show Jeopardy!, IBM will share Watson as a platform to fuel new business ventures and advance the fast-emerging era of cognitive computing.

IBM is at the forefront of this era, as noted by analyst firm Frost & Sullivan, which recently recognized IBM Watson with the 2013 North America Award for New Product Innovation. Gartner Inc., which cites IBM Watson in its Top 10 Strategic Technology Trends for 2014, predicts that by 2017, 10 percent of computers will be able to learn as Watson does.

To grow its community of business partners, IBM will work with its premier network of strategic Venture Capital partners, whose role will be to identify, engage and support application providers that are well positioned to create and market Watson-powered apps. IBM will also leverage its deep bench of Independent Software Vendor partners to expand its ecosystem of cognitive computing innovation.

“The significance here is that IBM will enable other companies, large and small, to embed access to Watson into their products and services, or better yet, to build applications on top of it,” said Mohamad Makhzoumi, Partner at New Enterprise Associates and board member at Welltok. “This could bring about a paradigm shift not only in how people interact with computers, but in how we live our lives.”

Fostering Cloud Based Collaboration 

Since Big Data is the fuel that powers Watson’s capabilities, IBM will give app providers the option to use their own data, or provide them with access to the IBM Watson Content Store, which can supply data-rich content that – when crunched by Watson – can augment an app’s capabilities.

This includes Healthline, a leading provider of intelligent health information, data and technology solutions. Healthline is providing its comprehensive, contextually relevant health reference library to enable the promotion of healthy lifestyles, support disease prevention, and offer clinically significant, medically reviewed health information to everyday people so they are able to make more confident healthcare decisions.

Once app providers have identified content that is relevant and valuable to their needs, they can use the ecosystem’s cloud-hosted services to upload the information into Watson.

In addition to fueling innovation with Big Data, IBM’s new Watson ecosystem will spark opportunities for career professionals in a range of fields, including Big Data and analytics, design, development and linguistics. App providers are expected to have access to a community of talent providers that can match professionals with projects requiring their essential skills.

IBM plans to collaborate with talent partners such as Elance, which operates an online work marketplace of more than 3 million freelancers specializing in such fields as app development, web programming and graphic design. Elance plans to create clouds where app providers can tap into highly-skilled freelancers who are available on-demand to build Watson-enabled apps, and have completed an IBM certification program.

Readying Watson-Powered Apps for the Marketplace 

IBM will offer a platform for testing, training and deploying Watson-powered apps, to help application providers prepare their cognitive applications for success in the marketplace. Once the app is refined and ready, app providers ranging from start-ups to established businesses can market their apps to business customers and consumers.

Organizations that are interested in collaborating with IBM to develop Watson-powered applications can visit http://www.ibm.com/innovation/us/watson/watson_ecosystem.shtml to learn more. 

IBM Watson: Then and Now 

Since its introduction in 2011, IBM Watson has evolved from a first-of-a-kind status, to a commercial cognitive computing system. Watson has gained a 240 percent improvement in system performance, and a reduction of 75 percent in the physical requirements needed to run the system which can now operate from a single Power 750 server with Linux from a cloud computing environment.

IBM’s mission to spark a new generation of Watson-powered apps is the latest milestone in the company’s initiative to develop cognitive system offerings that help its clients and partners succeed, in a range of industries including healthcare and customer engagement.

IBM, WellPoint and Memorial Sloan-Kettering Cancer Center have partnered to develop an oncology solution designed to help physicians identify individualized treatment options for patients. Wellpoint also has partnered with IBM to develop a solution that helps facilitate the review process between a patient’s physician and health plan, to advance the quality and timeliness of care.

IBM is partnering with The University of Texas MD Anderson Cancer Center to develop a Watson-powered technology that helps MD Anderson’s physicians and researchers expand treatment options, match patients with clinical trials and accelerate novel discoveries into the fight against cancer, starting with leukemia.

In May 2013, IBM unveiled the IBM Watson Engagement Advisor, a commercial breakthrough that helps businesses deepen engagement with customers, by quickly addressing questions, offering advice to guide purchase decisions, and troubleshooting problems. The Watson Engagement Advisor was the first commercial offering developed in partnership with IBM Design, the company’s newly-formed design team.

Named after IBM founder Thomas J. Watson, IBM’s transformational cognitive technology was developed in IBM’s Research Labs. Using advances in natural language processing and analytics, Watson can process information similar to the way people think, representing a significant shift in the ability for organizations to quickly analyze, understand and respond to vast amounts of Big Data. The ability to use Watson to answer complex questions posed in natural language with speed, accuracy and confidence has enormous potential to improve decision making across a variety of industries from healthcare to retail, telecommunications and financial services.

About IBM 

For more information on IBM Watson, please visit www.ibmwatson.com

To join the social discussion about Watson include the hashtag #ibmwatson

Follow Watson on Facebook: www.facebook.com/ibmwatson

For more insights on this story please read two posts on IBM’s A Smarter Planet blog:http://ibm.co/17umZKg and http://ibm.co/1a4D08P.

—–

Source: IBM

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industy updates delivered to you every week!

IBM, Nvidia, Stone Ridge Claim Gas & Oil Simulation Record

April 25, 2017

IBM, Nvidia, and Stone Ridge Technology today reported setting the performance record for a “billion cell” oil and gas reservoir simulation. Read more…

By John Russell

ASC17 Makes Splash at Wuxi Supercomputing Center

April 24, 2017

A record-breaking twenty student teams plus scores of company representatives, media professionals, staff and student volunteers transformed a formerly empty hall inside the Wuxi Supercomputing Center into a bustling hub of HPC activity, kicking off day one of 2017 Asia Student Supercomputer Challenge (ASC17). Read more…

By Tiffany Trader

Groq This: New AI Chips to Give GPUs a Run for Deep Learning Money

April 24, 2017

CPUs and GPUs, move over. Thanks to recent revelations surrounding Google’s new Tensor Processing Unit (TPU), the computing world appears to be on the cusp of a new generation of chips designed specifically for deep learning workloads. Read more…

By Alex Woodie

Musk’s Latest Startup Eyes Brain-Computer Links

April 21, 2017

Elon Musk, the auto and space entrepreneur and severe critic of artificial intelligence, is forming a new venture that reportedly will seek to develop an interface between the human brain and computers. Read more…

By George Leopold

HPE Extreme Performance Solutions

Remote Visualization Optimizing Life Sciences Operations and Care Delivery

As patients continually demand a better quality of care and increasingly complex workloads challenge healthcare organizations to innovate, investing in the right technologies is key to ensuring growth and success. Read more…

MIT Mathematician Spins Up 220,000-Core Google Compute Cluster

April 21, 2017

On Thursday, Google announced that MIT math professor and computational number theorist Andrew V. Sutherland had set a record for the largest Google Compute Engine (GCE) job. Sutherland ran the massive mathematics workload on 220,000 GCE cores using preemptible virtual machine instances. Read more…

By Tiffany Trader

NERSC Cori Shows the World How Many-Cores for the Masses Works

April 21, 2017

As its mission, the high performance computing center for the U.S. Department of Energy Office of Science, NERSC (the National Energy Research Supercomputer Center), supports a broad spectrum of forefront scientific research across diverse areas that includes climate, material science, chemistry, fusion energy, high-energy physics and many others. Read more…

By Rob Farber

Nvidia P100 Shows 1.3-2.3x Speedup Over K80 GPU on Financial Apps

April 20, 2017

When it comes to the true performance of the latest silicon, every end user knows that the best processor is the one that works best for their application. Read more…

By Tiffany Trader

Quantum Adds Global Smarts to StorNext File System

April 20, 2017

Companies that use Quantum’s StorNext platform to store massive amounts of data this week got a glimpse of new storage capabilities that should make it easier to access their data horde from anywhere in the world. Read more…

By Alex Woodie

ASC17 Makes Splash at Wuxi Supercomputing Center

April 24, 2017

A record-breaking twenty student teams plus scores of company representatives, media professionals, staff and student volunteers transformed a formerly empty hall inside the Wuxi Supercomputing Center into a bustling hub of HPC activity, kicking off day one of 2017 Asia Student Supercomputer Challenge (ASC17). Read more…

By Tiffany Trader

Groq This: New AI Chips to Give GPUs a Run for Deep Learning Money

April 24, 2017

CPUs and GPUs, move over. Thanks to recent revelations surrounding Google’s new Tensor Processing Unit (TPU), the computing world appears to be on the cusp of a new generation of chips designed specifically for deep learning workloads. Read more…

By Alex Woodie

NERSC Cori Shows the World How Many-Cores for the Masses Works

April 21, 2017

As its mission, the high performance computing center for the U.S. Department of Energy Office of Science, NERSC (the National Energy Research Supercomputer Center), supports a broad spectrum of forefront scientific research across diverse areas that includes climate, material science, chemistry, fusion energy, high-energy physics and many others. Read more…

By Rob Farber

Hyperion (IDC) Paints a Bullish Picture of HPC Future

April 20, 2017

Hyperion Research – formerly IDC’s HPC group – yesterday painted a fascinating and complicated portrait of the HPC community’s health and prospects at the HPC User Forum held in Albuquerque, NM. HPC sales are up and growing ($22 billion, all HPC segments, 2016). Read more…

By John Russell

Knights Landing Processor with Omni-Path Makes Cloud Debut

April 18, 2017

HPC cloud specialist Rescale is partnering with Intel and HPC resource provider R Systems to offer first-ever cloud access to Xeon Phi "Knights Landing" processors. The infrastructure is based on the 68-core Intel Knights Landing processor with integrated Omni-Path fabric (the 7250F Xeon Phi). Read more…

By Tiffany Trader

CERN openlab Explores New CPU/FPGA Processing Solutions

April 14, 2017

Through a CERN openlab project known as the ‘High-Throughput Computing Collaboration,’ researchers are investigating the use of various Intel technologies in data filtering and data acquisition systems. Read more…

By Linda Barney

DOE Supercomputer Achieves Record 45-Qubit Quantum Simulation

April 13, 2017

In order to simulate larger and larger quantum systems and usher in an age of “quantum supremacy,” researchers are stretching the limits of today’s most advanced supercomputers. Read more…

By Tiffany Trader

Penguin Takes a Run at the Big Cloud Providers

April 12, 2017

HPC specialist Penguin Computing recently re-ran benchmarks from a study of its larger brethren and says the results show its ‘public cloud’ – Penguin on Demand (POD) – is among the leaders in cost and performance. Read more…

By John Russell

Google Pulls Back the Covers on Its First Machine Learning Chip

April 6, 2017

This week Google released a report detailing the design and performance characteristics of the Tensor Processing Unit (TPU), its custom ASIC for the inference phase of neural networks (NN). Read more…

By Tiffany Trader

Quantum Bits: D-Wave and VW; Google Quantum Lab; IBM Expands Access

March 21, 2017

For a technology that’s usually characterized as far off and in a distant galaxy, quantum computing has been steadily picking up steam. Read more…

By John Russell

Trump Budget Targets NIH, DOE, and EPA; No Mention of NSF

March 16, 2017

President Trump’s proposed U.S. fiscal 2018 budget issued today sharply cuts science spending while bolstering military spending as he promised during the campaign. Read more…

By John Russell

HPC Compiler Company PathScale Seeks Life Raft

March 23, 2017

HPCwire has learned that HPC compiler company PathScale has fallen on difficult times and is asking the community for help or actively seeking a buyer for its assets. Read more…

By Tiffany Trader

Nvidia Responds to Google TPU Benchmarking

April 10, 2017

Nvidia highlights strengths of its newest GPU silicon in response to Google's report on the performance and energy advantages of its custom tensor processor. Read more…

By Tiffany Trader

CPU-based Visualization Positions for Exascale Supercomputing

March 16, 2017

In this contributed perspective piece, Intel’s Jim Jeffers makes the case that CPU-based visualization is now widely adopted and as such is no longer a contrarian view, but is rather an exascale requirement. Read more…

By Jim Jeffers, Principal Engineer and Engineering Leader, Intel

For IBM/OpenPOWER: Success in 2017 = (Volume) Sales

January 11, 2017

To a large degree IBM and the OpenPOWER Foundation have done what they said they would – assembling a substantial and growing ecosystem and bringing Power-based products to market, all in about three years. Read more…

By John Russell

TSUBAME3.0 Points to Future HPE Pascal-NVLink-OPA Server

February 17, 2017

Since our initial coverage of the TSUBAME3.0 supercomputer yesterday, more details have come to light on this innovative project. Of particular interest is a new board design for NVLink-equipped Pascal P100 GPUs that will create another entrant to the space currently occupied by Nvidia's DGX-1 system, IBM's "Minsky" platform and the Supermicro SuperServer (1028GQ-TXR). Read more…

By Tiffany Trader

Leading Solution Providers

Tokyo Tech’s TSUBAME3.0 Will Be First HPE-SGI Super

February 16, 2017

In a press event Friday afternoon local time in Japan, Tokyo Institute of Technology (Tokyo Tech) announced its plans for the TSUBAME3.0 supercomputer, which will be Japan’s “fastest AI supercomputer,” Read more…

By Tiffany Trader

Is Liquid Cooling Ready to Go Mainstream?

February 13, 2017

Lost in the frenzy of SC16 was a substantial rise in the number of vendors showing server oriented liquid cooling technologies. Three decades ago liquid cooling was pretty much the exclusive realm of the Cray-2 and IBM mainframe class products. That’s changing. We are now seeing an emergence of x86 class server products with exotic plumbing technology ranging from Direct-to-Chip to servers and storage completely immersed in a dielectric fluid. Read more…

By Steve Campbell

IBM Wants to be “Red Hat” of Deep Learning

January 26, 2017

IBM today announced the addition of TensorFlow and Chainer deep learning frameworks to its PowerAI suite of deep learning tools, which already includes popular offerings such as Caffe, Theano, and Torch. Read more…

By John Russell

BioTeam’s Berman Charts 2017 HPC Trends in Life Sciences

January 4, 2017

Twenty years ago high performance computing was nearly absent from life sciences. Today it’s used throughout life sciences and biomedical research. Genomics and the data deluge from modern lab instruments are the main drivers, but so is the longer-term desire to perform predictive simulation in support of Precision Medicine (PM). There’s even a specialized life sciences supercomputer, ‘Anton’ from D.E. Shaw Research, and the Pittsburgh Supercomputing Center is standing up its second Anton 2 and actively soliciting project proposals. There’s a lot going on. Read more…

By John Russell

HPC Startup Advances Auto-Parallelization’s Promise

January 23, 2017

The shift from single core to multicore hardware has made finding parallelism in codes more important than ever, but that hasn’t made the task of parallel programming any easier. Read more…

By Tiffany Trader

Facebook Open Sources Caffe2; Nvidia, Intel Rush to Optimize

April 18, 2017

From its F8 developer conference in San Jose, Calif., today, Facebook announced Caffe2, a new open-source, cross-platform framework for deep learning. Caffe2 is the successor to Caffe, the deep learning framework developed by Berkeley AI Research and community contributors. Read more…

By Tiffany Trader

HPC Technique Propels Deep Learning at Scale

February 21, 2017

Researchers from Baidu’s Silicon Valley AI Lab (SVAIL) have adapted a well-known HPC communication technique to boost the speed and scale of their neural network training and now they are sharing their implementation with the larger deep learning community. Read more…

By Tiffany Trader

US Supercomputing Leaders Tackle the China Question

March 15, 2017

Joint DOE-NSA report responds to the increased global pressures impacting the competitiveness of U.S. supercomputing. Read more…

By Tiffany Trader

  • arrow
  • Click Here for More Headlines
  • arrow
Share This