February 6, 2014 Ambuj Goyal General Manager, System Storage & Networking IBM Systems and Technology Group Why Infrastructure Matters.

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Presentation transcript:

February 6, 2014 Ambuj Goyal General Manager, System Storage & Networking IBM Systems and Technology Group Why Infrastructure Matters

© 2014 IBM Corporation 2 IBM, a 100+ year story of continuous innovation Research and development Successful customer engagements Solutions for a Smarter Planet based on optimized infrastructures and proactive analysis Welcome

© 2014 IBM Corporation 3 IBM 2013 Study Proves the Importance of Infrastructure Global C-suite Study Over 4,000 leaders representing more than 20 industries in 70 countries Technology again ranked as the most important factor New solutions, software, and infrastructure are helping to fulfill the promise of a Smarter Planet Technology #1

© 2014 IBM Corporation 4  Large Incumbents Complex systems Highest degree of customization Dedicated account management Today’s Enterprise IT needs Complex / CustomizedSimple / Standardized Cloud-based Providers Volume operations Hyper scale & standardization Low-touch services model Infrastructure Matters Transforming Enterprise IT in the Era of Cloud

© 2014 IBM Corporation 5 Data Virtualization and Flash … radically optimize your data architecture with ease. Infrastructure Matters Transforming Enterprise IT in the Era of Cloud

© 2014 IBM Corporation 6 Simplified data replication & protection… Storage Provisioning in mins. not hours Real-time compression saves 70-90% of existing storage Regional Telecommunications Provider Radically Optimize Your Data Architecture with Ease Diverse Storage Push button agility… Non-disruptive flash transformation SAP processing: 6 hours to 6 mins. TCO cut in half Stuttgarter Straßenbahnen AG Continuous migration with zero disruptions… 80% less storage space 2/3 reduction in storage & facility costs 100% up time University of Pittsburgh Medical Center Data Virtualization Data Real-Time Compression Data Replication & Protection Flash Non-Disruptive Migration Workloads (e.g., SAP, VMware, Database, Windows)

© 2014 IBM Corporation 7 IBM Storwize Data Virtualization Family  46,000+ systems purchased  115,000+ enclosures deployed  Exabytes of data managed IBM FlashSystem  $1B R&D Investment  12 Centers of Competency Opened in 2013  300+ Proof-of-concepts since April 2013  1,500+ IBM FlashSystem shipments  5x more data in the same space  47% less time consuming  30% lower storage growth  50% reduction in TCO  98% reduction in processing time  95% reduction in foot-print & power Industry MomentumSuperior Economics e.g. as much as… IBM Flash & Data Virtualization Leadership

© 2014 IBM Corporation 8  Extreme performance, flexible capacity & total system protection…  Adds rich capabilities… compression, tiering, and more… IBM FlashSystem 840 Absolute Performance IBM FlashSystem V840 Integrated Data Virtualization FlashSystem 840: 2X Capacity & IOPS, Over 4X Faster to Deploy Enhanced Data Virtualization Engine: 3X Real-time Compression Throughput Extending IBM Flash & Data Virtualization Leadership Performance & Features for Diverse Lower Cost-Per-IOPS

© 2014 IBM Corporation 9 Infrastructure Matters Transforming Enterprise IT in the New Era of Computing Real-time access to data for workloads that require faster data access Extreme performance, business continuity, and optimal workload availability IBM FlashSystem 840 IBM FlashSystem V840 Next generation EXA Technology, X6 Lower latencies Faster response times Smarter data management in real time

© 2014 IBM Corporation 10 Mobile Leveraging Big Data Dynamics Social Internet of Things Cloud

© 2014 IBM Corporation 11 The Pace of Change is Accelerating are building new apps for cloud delivery 80%90% of all data on planet Earth is years old or less of the world’s online population uses social networks on a regular basis 80% 60% Spending on marketing analysis is up by are either planning big data implementations… or leveraging them already 75%

© 2014 IBM Corporation 12 Advances in Cognitive Systems – Watson Tabulating Systems Programmable Systems Cognitive Systems 90s80s60s2010s1900s Advances in Cognitive Systems: Watson Back Office Computing Client Server PCs World Wide Web eBusiness Social, Mobile, Cloud Big Data / Analytics

© 2014 IBM Corporation 13 Why Choose IBM for Cloud and Big Data? Infrastructure innovation at an incredible pace to pave the way for fundamental business transformation Thousands of clients have deployed successful clouds built on IBM systems Successful customer engagement with integrated systems to drive real-time insights Committed to open standards and technology for speed of innovation, integration, & choice IBM Systems for your compute, network and data infrastructure