Webcast Presentation: A DevOps Approach Speeds IBM Watson Solutions to Market
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In this webcast, learn how the IBM DevOps solution, including the use of Rational Team Concert, supports continuous software delivery and continuous innovation for Watson solutions and allows the development team to leverage the key environmental constant in which all Watson solutions operate: change. GRUC board president Carson Holmes joins IBM's Carl Kraenzel during the webcast, posing questions of high interest on behalf of Community members.
TRANSCRIPT
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Main Point: Watson represents a whole new class of industry specific solutions called cognitive systems. It builds on the current paradigm of Programmatic Systems and is not meant to be a replacement; programmatic systems will be with us for the foreseeable future. But in many cases, keeping pace with the demands of an increasingly complex business environment and challenges requires a paradigm shift in what we should expect from IT. We need an approach that recognizes today’s realities and treats them as opportunities rather than challenges. Further speaking points: For example, most digitized information of the past was structured. It was organized into tables, stored in easily identified cells in databases, and easily searched and accessed. Unstructured information was largely ignored as too difficult to utilize…and therefore it lay fallow. Similarly, traditional IT has largely limited itself to deterministic applications. 2+2=4. 100cm in a meter. Situations where there is only one answer to a question But this rules out a whole world of real world situations that have a more probabilistic outcome. It is very likely that the car will not start because of a dead battery but there is a chance there is a clog in the fuel line. It is very likely to be sunny tomorrow but it may rain. Traditional IT relies on search to find the location of a key phrase. Emerging IT gathers information and combines it for true discovery. Traditional IT can handle only small sets of focused data while IT today must live with big data. And traditional IT interacts with machine language while what we as users really need is interaction the way we ourselves communicate – in natural language.
Watson is opening up a world of new possibilities
size
sp
eed
corp
us
flexi
bilit
y #u
sers
size
sp
eed
corp
us
flexi
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2880 cores Single user system
2-3 sentences input 5+ days to retrain
Wikipedia, general corpus
Single Power 750, 240% faster 1000s of users
20 pages of input < Day to ingest and train
Medical corpus
Watson cloud service Millions of users Dialog chaining
Few hours Broad industry corpus
s sp
corp
flexi
bi
#use
rs
Presenter
Presentation Notes
Main Point: Watson’s progression since its public introduction in 2011 on Jeopardy! in terms of its reduction in size, improvement in speed, ability to quickly ingest new updated data, and accessibility by more and more users. This increasing maturity has helped to advance Watson’s viability in commercial environments and applications.
Watson Business Unit announcement, January 2014
1 2 3 New business unit brings together research, development,
service and go-to-market and features Innovation Hub with incubator, client solutions center and design lab
IBM is stepping up its investments to bring cognitive products and services to the marketplace
New Watson offerings enhancing research and data visualization are being introduced
Presenter
Presentation Notes
Main Point: IBM has led the industry into a new era of computing: cognitive systems. And with these latest moves, IBM has stepped up its commitment to advancing this new era with major new investments and announcements in support of this area. In summary….. <go through announcements…. Tell ‘em what you’re going to tell ‘em>
Delivering the cognitive experience to the masses
Watson Developer Cloud
Watson Content Store
Watson Talent Hub
+
+
Tools and APIs enabling ISVs with self-service training, development, and testing of their cognitive application.
A source of free and for-fee data, including general knowledge, industry-specific content, and subject matter expertise
Helps to bridge ISVs’ resource gaps by providing a marketplace for skills like linguistics, natural language processing, machine learning, user experience design, and analytics
Presenter
Presentation Notes
Main Point: We are continuing to invest in our ecosystem program to help independent software vendors embed Watson’s cognitive capabilities into their apps. We’ve received over 750 applications to participate in the program in the first month since announcement. We are now announcing a new $100M fund to directly invest in partner ISVs participating in the program. As a reminder, the program consists of the Watson developer cloud, content store, and talent hub <<descriptions beneath>>
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Compact releases better matched to customer expectations
Zero downtime required for maintenance through continuous availability
Reduced delivery cycles from nine weeks to three weeks
Solution Components • IBM® Rational® Team Concert™ • IBM Power® 750
DevOps approach speeds IBM Watson solutions to market
“DevOps helps us achieve continuous delivery and deliver continuous value.” Carl Kraenzel IBM Distinguished Engineer, Director Watson Cloud Technology and Support
Presenter
Presentation Notes
Solution Components IBM Rational Team Concert™ Applying cognitive computing to real-world problems In 2011, IBM Watson made headlines by beating two Jeopardy! TV show champions. After the victory, IBM began to look for ways to apply Watson’s groundbreaking capabilities using natural language processing, hypothesis generation and evidence-based learning to real-world problems. Today, Watson is being used by healthcare organizations, financial institutions and research organizations to answer questions and support better decision making. Using the IBM DevOps approach to manage change To enable fast scaling of the initial consumer offering, and then to develop additional solutions based on the Watson platform, the Watson teams at IBM had to be sure they could handle rapid change: Change plays a large role in the ongoing development of Watson. In fact, for Watson to meet IBM’s clients’ needs, it must be learning all the time. “It's constantly evolving,” says Kraenzel. “Compared to any other technology we have in the IBM portfolio and potentially in the marketplace, this is a completely new class of technology. There are very few examples of technology whose value proposition is so closely linked to constant evolution. Watson is meaningless if it doesn't constantly learn and change.” That’s why the Watson teams are focused on properly managing change through the IBM DevOps approach, which leverages lean principles and agile development methods. “If you don't approach it the right way, change is a cost driver. It will add cost instead of adding value,” says Kraenzel. “DevOps helps us achieve continuous delivery, and DevOps helps us deliver continuous value.” For example, when the team began using agile practices along with Rational Team Concert, they worked in nine-week sprints. Now they are moving to three-week sprints and to pushing every sprint release to production. This enables the Watson team to rapidly deliver functionality that closely matches customer expectations in compact, near-frictionless increments that minimize the costs and disruption of change for their customers.
• Learn more about Watson
– Join the Watson ecosystem on developerWorks – Join the new Watson & Cognitive Computing VRUG – Read “Five Steps to a Powered by Watson Application”
• Learn more about IBM DevOps – Read the Watson/DevOps case study – Read “DevOps: The IBM Approach” white paper – Download the FREE “DevOps for Dummies” – Register for Innovate, hear more in the new Watson Ecosystem +
Cognitive Computing track – Share your Cognitive Computing expertise at Innovate – Call for
Speakers open through Feb. 7
Presenter
Presentation Notes
Solution Components IBM Rational Team Concert™ Applying cognitive computing to real-world problems In 2011, IBM Watson made headlines by beating two Jeopardy! TV show champions. After the victory, IBM began to look for ways to apply Watson’s groundbreaking capabilities using natural language processing, hypothesis generation and evidence-based learning to real-world problems. Today, Watson is being used by healthcare organizations, financial institutions and research organizations to answer questions and support better decision making. Using the IBM DevOps approach to manage change To enable fast scaling of the initial consumer offering, and then to develop additional solutions based on the Watson platform, the Watson teams at IBM had to be sure they could handle rapid change: Change plays a large role in the ongoing development of Watson. In fact, for Watson to meet IBM’s clients’ needs, it must be learning all the time. “It's constantly evolving,” says Kraenzel. “Compared to any other technology we have in the IBM portfolio and potentially in the marketplace, this is a completely new class of technology. There are very few examples of technology whose value proposition is so closely linked to constant evolution. Watson is meaningless if it doesn't constantly learn and change.” That’s why the Watson teams are focused on properly managing change through the IBM DevOps approach, which leverages lean principles and agile development methods. “If you don't approach it the right way, change is a cost driver. It will add cost instead of adding value,” says Kraenzel. “DevOps helps us achieve continuous delivery, and DevOps helps us deliver continuous value.” For example, when the team began using agile practices along with Rational Team Concert, they worked in nine-week sprints. Now they are moving to three-week sprints and to pushing every sprint release to production. This enables the Watson team to rapidly deliver functionality that closely matches customer expectations in compact, near-frictionless increments that minimize the costs and disruption of change for their customers.
Main Point: Watson represents a whole new class of industry specific solutions called cognitive systems. It builds on the current paradigm of Programmatic Systems and is not meant to be a replacement; programmatic systems will be with us for the foreseeable future. But in many cases, keeping pace with the demands of an increasingly complex business environment and challenges requires a paradigm shift in what we should expect from IT. We need an approach that recognizes today’s realities and treats them as opportunities rather than challenges. Further speaking points: For example, most digitized information of the past was structured. It was organized into tables, stored in easily identified cells in databases, and easily searched and accessed. Unstructured information was largely ignored as too difficult to utilize…and therefore it lay fallow. Similarly, traditional IT has largely limited itself to deterministic applications. 2+2=4. 100cm in a meter. Situations where there is only one answer to a question But this rules out a whole world of real world situations that have a more probabilistic outcome. It is very likely that the car will not start because of a dead battery but there is a chance there is a clog in the fuel line. It is very likely to be sunny tomorrow but it may rain. Traditional IT relies on search to find the location of a key phrase. Emerging IT gathers information and combines it for true discovery. Traditional IT can handle only small sets of focused data while IT today must live with big data. And traditional IT interacts with machine language while what we as users really need is interaction the way we ourselves communicate – in natural language.
Join the Community
www.rational-ug.org
Tweet with Us @RationalUC #rationaluc
www.twitter.com/rationaluc
Join Our Group on LinkedIn: Global Rational User Community
