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SmartData Webinar: Cognitive Computing in the Mobile App Economy

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SmartData Webinar: Cognitive Computing in the Mobile App Economy

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Mobility is transforming work and life throughout the planet. Mobile apps--built for a growing range of handhelds, wearables, Internet of Things, and other platforms--are becoming the universal access paths to commerce, content, and community in the 21st century. The app economy refers to this new world where every decision, action, exploration, and experience is continuously enriched and optimized through the cloud-served apps that accompany you everywhere. In this webinar, James Kobielus, IBM's Big Data Evangelist, will discuss the potential of cognitive computing to super-power the emerging app economy. In addition to providing an overview of IBM's Watson strategy for cognitive computing, Kobielus will go in-depth on IBM's strategic partnership with Apple to draw on the strengths of each company to transform enterprise mobility through a new class of apps that leverage IBM’s Watson-based big data analytics cloud and add value to Apple's iPhone and iPad platforms in diverse industries.

Mobility is transforming work and life throughout the planet. Mobile apps--built for a growing range of handhelds, wearables, Internet of Things, and other platforms--are becoming the universal access paths to commerce, content, and community in the 21st century. The app economy refers to this new world where every decision, action, exploration, and experience is continuously enriched and optimized through the cloud-served apps that accompany you everywhere. In this webinar, James Kobielus, IBM's Big Data Evangelist, will discuss the potential of cognitive computing to super-power the emerging app economy. In addition to providing an overview of IBM's Watson strategy for cognitive computing, Kobielus will go in-depth on IBM's strategic partnership with Apple to draw on the strengths of each company to transform enterprise mobility through a new class of apps that leverage IBM’s Watson-based big data analytics cloud and add value to Apple's iPhone and iPad platforms in diverse industries.

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SmartData Webinar: Cognitive Computing in the Mobile App Economy

  1. 1. © 2014 IBM Corporation Cognitive Computing in the Mobile App Economy James Kobielus IBM Big Data Evangelist March 12, 2015
  2. 2. © 2014 IBM Corporation2 Smart mobility demands access to expert, app-centric, data-driven guidance everywhere you go 24x7.
  3. 3. © 2014 IBM Corporation3 Mobile Adoption Continues to Explode 1 Trillion Connected Devices 2013 2014 2015 5.6 Billion Personal Devices Sold 41% CAGR Wearable Wireless Devices
  4. 4. © 2014 IBM Corporation44 Mobile App Economy: Optimizing Every Decision, Interaction, and Transaction
  5. 5. © 2014 IBM Corporation5 Mobile Is Primary 91% of mobile users keep their device within arms reach 100% of the time Insights From Mobile Data Provide New Opportunities 75% of mobile shoppers take action after receiving location based messages Mobile Must Create A Continuous Brand Experience 90% of users use multiple screens as channels come together to create integrated experiences Mobile Is About Transacting Mobile commerce transactions will reach $3.2 trillion in 2017 Mobile App Economy: Driving Business Transformation Mobile enables the Internet of Things The installed base for the Internet of Things (IoT) will grow to approximately 212 billon devices in 2020, a number that includes 30 billion connected devices
  6. 6. © 2014 IBM Corporation6 Mobile App Economy: Reshaping Enterprise IT “SMALL TEAMS” “CLOUD SCALE” APIS & FRAMEWORKS “THE HACKER WAY” Different talent requirements: small highly skilled development teams • Facebook-like software development approach • Short, frequent incremental release cycles ENGAGING USER EXPERIENCE Elevated expectations for user experience MOBILE FIRST Development to multiple form factors “DEVOPS” Frictionless development to operations cycle APIs unlock data as a platform to create new ecosystems Leverage cloud scale to support millions of devices • 20M apps installed daily on facebook • 50B mobile app downloads in 2012 • + 500K US jobs in last 3 years APP ECONOMY DEVOPS
  7. 7. © 2014 IBM Corporation7 Smart Mobility--Tapping Cognitive-Computing Guidance in the Cloud--is the Foundation of this New Economy BIG DATA & ANALYTICS SOCIAL BUSINESS ENTERPRISE MOBILITY CLOUD COMPUTING Always on Always optimized Always engaged Always mobile
  8. 8. © 2014 IBM Corporation8 Cognitive computing the ability of automated systems to: • handle the conscious, critical, logical, attentive, reasoning, evaluative modes of thought • learn from data and from interactions with people • adapt their behavior to these inputs without explicit programming
  9. 9. © 2014 IBM Corporation9 Business Applications What could happen? Predictive analytics and modeling What action should I take? Decision management What is happening? Discovery and exploration Why did it happen? Reporting, analysis, content analytics Cognitive processes Thinking—aka Cognition--in Discovery, Learning, & Decision Support
  10. 10. © 2014 IBM Corporation10 1900+ 1950+ 2010+ Data-Driven Guidance: The Cognitive Systems Era Learning unparalleled insights algorithmically from fresh streams of big data Hardwired processing logic Software-explicit processing logic Data-derived processing logic The cognitive revolution: dynamically optimized app logic without hardwired or explicit programming
  11. 11. © 2014 IBM Corporation11 Understands natural language and human style communication Adapts and learns from training, interaction, and outcomes Generates and evaluates evidence-based hypothesis 1 2 3 Watson understands me. Watson engages me. Watson learns and improves over time. Watson helps me discover. Watson establishes trust. Watson has endless capacity for insight. Watson operates in a timely fashion. The premier cognitive computing cloud
  12. 12. © 2014 IBM Corporation12 Machine Learning & Big Data: Watson’s Cognitive Foundation Statistical algorithms for learning from data Abstracts quantitative models from data and prior knowledge Enables data-driven analysis, inference, pattern recognition, and prediction Machine learning Data at Scale Data in Many Forms Data in Motion Volume Variety Velocity Big data Watson’s cognitive fabric uses machine learning to find deep patterns within big data
  13. 13. © 2014 IBM Corporation13 WATSON FOUNDATIONS Decision Management Planning & Forecasting Discovery & Exploration Business Intelligence & Predictive Analytics Content Analytics Information Integration & Governance Data Mgmt & Warehouse Hadoop System Stream Computing Content Management WATSON FOUNDATIONS Decision Management Planning & Forecasting Discovery & Exploration Business Intelligence & Predictive AnalyticsBusiness Intelligence & Predictive Analytics Content Analytics Information Integration & Governance Data Mgmt & Warehouse Hadoop System Stream Computing Content Management Discover fresh insights • Predictive and content analytics to uncover patterns not yet known • Interactive exploration across all data Operate in real time • Real-time analytics • Enterprise-class Hadoop • In-memory computing for speed of thought analytics • Deliver real-time data/analytic-driven guidance to mobile, social, Internet of Things, and other applications Establish trust so you can act with confidence • Transparency and context to decision-making • Governance across complete data lifecycle • Security, privacy, compliance Software capabilities that fuel the new cognitive systems era Watson Foundations: Cognitive Computing Across the Portfolio
  14. 14. © 2014 IBM Corporation14 Cloud Watson Tooling: Cognitive App Development in the Bluemix Cloud Mobile Services Big Data services Watson Services Security Services Web and application services Cloud Integration Services Database services Internet of Things Services Business Users DevOps Services
  15. 15. © 2014 IBM Corporation15  IBM MobileFirst Collaboration Services  IBM MobileFirst Network Services (Presence Zones)  IBM MobileFirst Infrastructure Consulting  IBM MobileFirst Application Platform Services  IBM MobileFirst Application Platform Services  IBM MobileFirst Device Procurement & Deployment Services  IBM MobileFirst Managed Mobility Services  IBM Mobile Virtualization Services  IBM MobileFirst Network Services (WLAN) IBM Mobility Services: A Comprehensive Mobile Enablement Portfolio
  16. 16. © 2014 IBM Corporation16 Operationalize Integrated DevOps for Mobile Develop Obtain Insight Manage Deploy Instrument Integrate Test Scan & Certify IBM MobileFirst Enterprise: Accelerating the Mobile App Lifecycle
  17. 17. © 2014 IBM Corporation17 IBM’s Strategic Partnership with Apple Strengthens our Mobility Portfolio
  18. 18. © 2014 IBM Corporation18 Key Elements of the IBM-Apple Partnership
  19. 19. © 2014 IBM Corporation19 1,000+ Engaged innovators Watson Developer Cloud Tools, APIs enabling ISVs with self-service training, development, and testing of their cognitive application. 500+ Subject matter experts Watson Talent Hub Providing a marketplace for skills - linguistics, natural language processing, machine learning, user experience design, and analytics. 100M+ Equity investment Watson Content Store Equity Fund. Free and for-fee data, including general knowledge, industry- specific content, to help fuel Powered by Watson apps. Watson Ecosystem: Cognitive Enablement of Partners
  20. 20. © 2014 IBM Corporation20 INNOVATIONLEADERSHIP IBM: A Longtime Market Leader in Mobility SCALE
  21. 21. © 2014 IBM Corporation21 THINK. …HowCan WeDo ItBetter?
  22. 22. © 2014 IBM Corporation22
  23. 23. © 2014 IBM Corporation23 Legal Disclaimer • © IBM Corporation 2014. All Rights Reserved. • The information contained in this publication is provided for informational purposes only. While efforts were made to verify the completeness and accuracy of the information contained in this publication, it is provided AS IS without warranty of any kind, express or implied. In addition, this information is based on IBM’s current product plans and strategy, which are subject to change by IBM without notice. IBM shall not be responsible for any damages arising out of the use of, or otherwise related to, this publication or any other materials. Nothing contained in this publication is intended to, nor shall have the effect of, creating any warranties or representations from IBM or its suppliers or licensors, or altering the terms and conditions of the applicable license agreement governing the use of IBM software. • References in this presentation to IBM products, programs, or services do not imply that they will be available in all countries in which IBM operates. Product release dates and/or capabilities referenced in this presentation may change at any time at IBM’s sole discretion based on market opportunities or other factors, and are not intended to be a commitment to future product or feature availability in any way. Nothing contained in these materials is intended to, nor shall have the effect of, stating or implying that any activities undertaken by you will result in any specific sales, revenue growth or other results. • If the text contains performance statistics or references to benchmarks, insert the following language; otherwise delete: Performance is based on measurements and projections using standard IBM benchmarks in a controlled environment. The actual throughput or performance that any user will experience will vary depending upon many factors, including considerations such as the amount of multiprogramming in the user's job stream, the I/O configuration, the storage configuration, and the workload processed. Therefore, no assurance can be given that an individual user will achieve results similar to those stated here. • If the text includes any customer examples, please confirm we have prior written approval from such customer and insert the following language; otherwise delete: All customer examples described are presented as illustrations of how those customers have used IBM products and the results they may have achieved. Actual environmental costs and performance characteristics may vary by customer. • Please review text for proper trademark attribution of IBM products. At first use, each product name must be the full name and include appropriate trademark symbols (e.g., IBM Lotus® Sametime® Unyte™). Subsequent references can drop “IBM” but should include the proper branding (e.g., Lotus Sametime Gateway, or WebSphere Application Server). Please refer to http://www.ibm.com/legal/copytrade.shtml for guidance on which trademarks require the ® or ™ symbol. 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