© 2013 IBM Corporation 1 Title of presentation goes Elisa Martín Garijo IBM Distinguish Engineer and CTO for IBM Spain. Global Technology Outlook Emerging Technologies and IT Trends Madrid, 16 September, 2013

© 2013 IBM Corporation 2 Source:If applicable, describe source The GTO identifies significant technology trends and identifies high-impact disruptive technologies leading to game-changing products and services over a 3-10 year horizon ¿What is Global Technology Outlook (GTO) ?

© 2013 IBM Corporation 3 Source:If applicable, describe source What are the IBM capabilities to build a GTO? IBM Research Labs China Watson Almaden Austin Tokyo Zurich India Dublin Australia Brazil  Next Generation Public Sector  Water & Transportation  Human Capacity Development  Natural Resources  Disaster Management  Healthcare & Life Sciences  Natural Resources  Smarter Devices  Human Systems/Events  Industry Solutions  Accessibility  Internet of Things  Smarter Cities  Big Data & Analytics  HW & SW Quality  Cloud, Mobile Haifa  Smarter Cities  Services  Mobile Communications  Semiconductors  Systems  Software & Services  Big Data & Analytics  Semiconductors  Processors  Big Data & Analytics  Storage  Nanotech Healthcare  Science  Nanotech Materials Africa

© 2013 IBM Corporation 4 Source:If applicable, describe source Technology Drivers Social – Mobile – Cloud – Big Data / Analytics Increasing Complexity / Yet More Consumable Fast Pace Contextual Overload Growing Scale / Lower Barrier of Entry The 4 Mega Trends in new technology wave

© 2013 IBM Corporation 5 Source:If applicable, describe source GTO 2013 Topics The Rapidly Evolving Infrastructure Multimedia and Visual Analytics 4 Contextual Enterprise 5 Personalized Education 6 Scalable Services Ecosystems 2 Software Defined Environments 3 Mobile First 1 The Future of Big Data and Analytics

© 2013 IBM Corporation 6 Source:If applicable, describe source Mobile First  Reimagining businesses  Secure enterprise services  Radically new platforms Explosive growth of Mobile and Mobile First design patterns are driving new application structures  Explosive growth of mobile is forcing companies to rethink their business models  New consumption and interaction models  Real-time updates across multiple persistently connected and heterogeneous devices per user Continuous Client Experience

© 2013 IBM Corporation 7 Source:If applicable, describe source Scalable Services Ecosystems  API based relationships  Service fabric and patterns  New business models represent a disruptive new agile paradigm for composing business solutions and building business relationships, based on programmable API (Application Programming Interface) invocations  New services that offer social and collaboration, personalization, contextualization  New forms of orchestration that transcend both the client and server side  Data services provide pervasiveness across applications and devices  Delivered through Software-as-a-Service Engagement Services

© 2013 IBM Corporation 8 Source:If applicable, describe source Software Defined Environments In Software Defined Environments, cloud infrastructure is becoming programmable to meet efficiency and resiliency requirements and be purpose-fit for workloads Cloud Analytics Social Mobile Today’s workloads Automate your workloads Optimize your resources Compute Storage Network Simplified management Simplified management Simplified operations in a secure environment Responsive & enabled by open standards Adaptive infrastructure to support changing workloads

© 2013 IBM Corporation 9 Source:If applicable, describe source Software Defined Environments  Unified Control Plan  Heterogeneous resources  Top-down optimization  Programmable infrastructure via Open APIs encourages broad ecosystem of solutions providers  Workloads dynamically assigned resources based on app characteristics & best available resources  Analytics-based compliance checking reduces security exposure & business risk  Continuous optimization to instantly address infrastructure issues & improve response to business needs  Proactive management of IT resources to improve efficiency & control costs of service delivery Scalable Delivery Infrastructure Simplified – Responsive – Adaptive Workload definition Workload optimization Workload definition Workload optimization Resource abstraction & optimization Compute Storage Network Simplified management Simplified management Open industry APIs

© 2013 IBM Corporation 10 Source:If applicable, describe source Software Defined Environments Hadoop job tracker Hadoop name node Hadoop data node Intel VM Power VM Local disk SSD 10 gig network Next Feature Rapid prototype Sandbox Limited live Scaled-out service Scaled-out service 20 node cluster PureRackServer Hadoop job tracker VM BRONZE SILVER GOLDPLATINUM Intel VM Local disk OS network Hadoop name node Hadoop data node Hadoop job tracker Hadoop name node Hadoop data node Intel VM Local disk Hypervisor network 5 node cluster Availability cluster Hadoop job tracker Hadoop name node Hadoop data node Intel VM Power VM Local disk SSD RDMA network Business opportunity: new “ad-fraud detection” Hadoop application that uses real-time correlation of transaction data with ad click log data Software Defined Environments are workload-aware, leveraging best practices with patterns of expertise

© 2013 IBM Corporation 11 Source:If applicable, describe source Multimedia and Visual Analytics  Driving Big Data / Analytics  Massive scale computing  Visual interactive interfaces

© 2013 IBM Corporation 12 Source:If applicable, describe source Contextual Enterprise  Fusion of data and processes  Enterprise transformation  Contextual computing

© 2013 IBM Corporation 13 Source:If applicable, describe source Personalized Education  Massive supply gap  Predictive and prescriptive analytics focused on outcomes

© 2013 IBM Corporation 14 Title of presentation goes