2012_Disruptive_Innovation_in_the_Modern_IT_World_v3_plenary_presentation

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Main tent Sept 2012 presentation IBM Global Consultants / System Integrators conference - "Disruptive Innovation in the Modern IT World". This entertaining, fast-paced keynote provides an overall IT industry-wide look (not just Storage only) at Disruptive Innovation in Today's Modern IT World. We'll examine how, what, and where 2012 Internet Scale, Big Data, Mobile Disruptive Innovation is occurring, project how this will affect all in 2013 and beyond. Insightful examination/examples into how Disruptive Innovation works, thus putting clarity into why today's massive change in fabric of IT infrastructure, IT skills, and the *business models* is occurring in the blending of traditional IT with consumerization of IT, mobile devices, tablets, broadband wireless, real-time computing capabilities, real time Big Data modern analytics, and internet scale workloads. You'll come away with clarity and answers to: "What do I need to know about 2012 Disruptive Innovation in Modern IT? How will consumerization of IT, mobile technology, high performance Big Data analytics, and data center design affect by IT?" "What does this mean for my IT infrastructure and my IT staff job skills?" "What are innovative IT customers deploying today to provide competitive advantage?" "What technologies, workloads, innovation, and the job skills will be demanded in 2012 and beyond?" When referencing this material, my only request is that you give full credit to me and IBM as the authors of the research, and use the material with good business judgement. That having been said, please spread the good word. In today's internet global world, wise collaboration is how we all will thrive... .and how we as a human race will successfully address the challenges facing our collective future and our planet.

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  • Online URL for the opening video is: http://www.youtube.com/watch?v=CxQHwmhJXX4
  • Source: IDC's 2011 Enterprise Disk Storage Consumption Model
  • Chart in public domain: IEEE Massive File Storage presentation, author: Bill Kramer, NCSA: http://storageconference.org/2010/Presentations/MSST/1.Kramer.pdf:
  • Chart in public domain: IEEE Massive File Storage presentation, author: Bill Kramer, NCSA: http://storageconference.org/2010/Presentations/MSST/1.Kramer.pdf:
  • Online URL for this video is: http://www.youtube.com/watch?v=_ZyU6po_E74 Blue CRUSH in Memphis, TN & Richmond, VA Blue CRUSH predictive analysis for officer deployment & risk management generated easy-to-read crime maps every four hours Richmond, VA: Violent crime decreased in the first year by 32%, another 40% thereafter, moving Richmond from #5 on the list of the most dangerous US cities to #99 Another great example of using predictive technology is in the City of Richmond. Richmond, Virginia had a significant problem with violent crime. In fact, in one year, they were listed as the 9 th most dangerous large city in the US. And this was not a one time problem. The following year, Richmond increased it’s rank to #5! The city had no interest in becoming the #1 most dangerous city and wanted to do something different… and do it quickly! IBM helped the City of Richmond to analyze its crime data and provide enhanced predictions on the times and locations with the highest probability of crimes. The City was able to align its resources to the areas that were most likely to experience crimes As a result, violent crime decreased in the first year by 32%. And this also wasn’t a 1-time decrease. The following year, violent crime fell another 40% moving Richmond from #5 on the list of the most dangerous US cities to #99. Most cities can’t afford to keep adding new resources. Our goal is to use our resources more effectively in fighting crime and keeping our cities safe. On our smarter planet, technology can help us do that.
  • There is a new class of data rich companies emerging where the company’s value is based on the amount of information it can store and exploit. We call these “hyperscale data companies.” Examples of the hyperscale data companies today are Google, Amazon, and Facebook. In order for these companies to grow revenue and profit, their business models require that be able to store vast amounts of data. As a result, storage becomes a core competence for these companies. We see that over time, companies in various industries will need to collect, store, and exploit very large amounts of data and will move towards becoming hyperscale data companies. Two examples: A large healthcare company currently has 3.5 petabytes of data and is installing new imaging scanners that generate 1 terabyte per session and over 2 ½ petabytes per year. In order to provide high quality healthcare to their patients and offer more services, they will need to store this data for years to come and have that data readily accessible. A large insurance company currently has 20 petabytes of data and grows by over 300 terabytes a month – every month. In addition to using this data to process claims, they want to be able to exploit this data to provide services to other claims processors and to provide services across the healthcare ecosystem.
  • http://www.mckinsey.com/mgi/publications/big_data/index.asp
  • http://www.mckinsey.com/Insights/MGI/Research/Technology_and_Innovation/Big_data_The_next_frontier_for_innovation Free download: Big data: The next frontier for innovation, competition, and productivity https://www.mckinseyquarterly.com/Are_you_ready_for_the_era_of_big_data_2864
  • http://gigaom.com/broadband/worldwide-broadband-demand-speeds-are-zooming/
  • http:// www.akamai.com/stateoftheinternet / http://www.de-c http://en.wikipedia.org/wiki/List_of_Internet_exchange_points_by_size http://www.de-cix.net/about/statistics / IXP statistics traffic – de-cix.net in Frankfurt, the current largest Internet Exchange Point in the world. Nearly 2Tb/sec (200 GB/sec)
  • Source: Independent Analyst Shipment Data, Cisco Analysis, at: http://www.cisco.com/en/US/solutions/collateral/ns341/ns525/ns537/ns705/ns1175/Cloud_Index_White_Paper.html
  • http://wikibon.org/blog/how-big-is-the-world-of-cloud-computing-infographic/
  • Bandwidth: http://www.cisco.com/en/US/solutions/collateral/ns341/ns525/ns537/ns705/ns827/VNI_Hyperconnectivity_WP.html http:// www.akamai.com/stateoftheinternet / Cisco global IP traffic study and forecast: http://www.akamai.com/stateoftheinternet
  • With their corresponding storage, networking, power distribution and cooling, software, and software developers to create all this this
  • http://wikibon.org/blog/wp-content/uploads/2011/10/5-top-data-centers.html
  • http://www.datacenterknowledge.com/special-report-the-worlds-largest-data-centers/largest-data-centers-supernap-microsoft-dft/#supernap http://www.datacenterknowledge.com/special-report-the-worlds-largest-data-centers/largest-data-centers-supernap-microsoft-dft/#quincy
  • http://www.datacenterknowledge.com/special-report-the-worlds-largest-data-centers/largest-data-centers-io-data-centers-microsoft/#phoenixone http://www.datacenterknowledge.com/special-report-the-worlds-largest-data-centers/largest-data-centers-io-data-centers-microsoft/#chicago http://www.datacenterknowledge.com/special-report-the-worlds-largest-data-centers/largest-data-centers-ngd-terremark-qts/#qts http://news.cnet.com/2300-10805_3-10001679.html = Inside Microsoft Container Data Center
  • #1 data center consumes 100 megawatts of power, 2nd-largest power customer for Commonwealth Edison, trailing only Chicago’s O’Hare Airport. http://www.datacenterknowledge.com/special-report-the-worlds-largest-data-centers/largest-data-centers-ngd-terremark-qts/#ngd http://www.datacenterknowledge.com/special-report-the-worlds-largest-data-centers/largest-data-centers-ngd-terremark-qts/#napota http://www.datacenterknowledge.com/special-report-the-worlds-largest-data-centers/worlds-largest-data-center-350-e-cermak/ 10. The SuperNAP, Las Vegas (Switch Communications) 9A and 9B. Microsoft Data Centers in Quincy Washington and San Antonio 8. CH1, Elk Grove Village, Ill. (DuPont Fabros) 7. Phoenix ONE, Phoenix (i/o Data Centers) 6. Microsoft Dublin (Microsoft) 5. Container Data Center, Chicago (Microsoft) 4. NGD Europe, Newport Wales (Next Generation Data) 3. The NAP of the Americas, Miami (Terremark) 2. Metro Technology Center, Atlanta (Quality Technology) 1. 350 East Cermak / Lakeside Technology Center (Digital Realty)
  • http://www-03.ibm.com/press/us/en/pressrelease/36693.wss http://www.datacenterknowledge.com/archives/2012/02/08/tulip-ibm-team-on-huge-data-center-in-india/ http:// www.youtube.com/watch?v =-h5RYflgBcM Amadeus: 1+ billion transactions / day .3 second response time Access to 95% of the worlds airline seats 5000+ servers Powers over 260 websites in 110 countries for over 100 airlines 10 PB of storage Tulip Telecom: Currently largest in AP and 3d largest in world (for now) Nearly 1 M sq feet Co-built with IBM http://www.amadeus.com/blog/16/03/did-you-know-amazing-facts-about-amadeus/ http://www.govtech.com/featured/China-to-Build-Worlds-Largest-Data-Center.html http://www.wired.com/threatlevel/2012/03/ff_nsadatacenter/all/1
  • http://www.fastcompany.com/magazine/160/tech-wars-2012-amazon-apple-google-facebook
  • http://gigaom.com/cloud/apple-launches-icloud-heres-what-powers-it/ http:// www.youtube.com/watch?v =IPNZAvX1yEs http://www.theregister.co.uk/2012/02/21/apple_new_data_center/ http://www.datacenterknowledge.com/archives/2011/05/18/apple-adding-data-center-in-silicon-valley/ http://www.datacenterknowledge.com/the-apple-data-center-faq / Apple purposes for these data centers: iCloud Support Apple’s WW install base of devices Futures: Move Content Delivery Network in-house? Futures: Streaming video? Other Apple data centers: Cork, Ireland Munich, Germany Newark, California Cupertion, Calif
  • http://www.datacenterknowledge.com/archives/2012/04/20/facebooks-north-carolina-data-center-goes-live/ http://www.wired.com/wiredenterprise/2011/12/facebook-data-center/all/1 https:// www.facebook.com/note.php?note_id =469716398919 http://www.datacenterknowledge.com/archives/2011/10/27/facebook-goes-global-with-data-center-in-sweden/ http://wikibon.org/blog/inside-ten-of-the-worlds-largest-data-centers/ http://www.datacenterknowledge.com/archives/2012/02/02/facebooks-1-billion-data-center-network/
  • http://aws.typepad.com/aws/2012/04/amazon-s3-905-billion-objects-and-650000-requestssecond.html http://gigaom.com/cloud/how-big-is-amazon-web-services-bigger-than-a-billion/ http://www.datacenterknowledge.com/archives/2011/06/09/a-look-inside-amazons-data-centers/ http://gigaom.com/cloud/just-how-big-is-the-amazon-cloud-anyway/ http://www.economist.com/node/21548487 The focus of Jeff Bezos, CEO / founder of Amazon http://mvdirona.com/jrh/work/ James Hamilton, AWS Vice President and Distinguished Engineer on the Amazon Web Services team where he is focused on infrastructure efficiency, reliability, and scaling.  All his presentations are listed here at this URL.
  • http://www.google.com/about/datacenters/locations/ http://www.google.com/about/datacenters/locations/the-dalles http://www.datacenterknowledge.com/archives/2012/04/13/google-data-center-spending-recedes-to-607m/
  • http://royal.pingdom.com/2008/04/11/map-of-all-google-data-center-locations/ http://www.datacenterknowledge.com/archives/2012/04/13/google-data-center-spending-recedes-to-607m/ A capital expenditure is an investment in a long-term asset, typically physical assets such as buildings or machinery. Google says the majority of its capital investments are for IT infrastructure, including data enters, servers, and networking equipment. In the past the company’s CapEx spending has closely tracked its data center construction projects, each of which requires between $200 million and $600 million in investment.
  • As of Sept 11, 2012, IBM market capitalization is $232B
  • http://liesdamnedliesstatistics.com/2012/05/stats-that-show-why-you-need-a-mobile-first-approach-now.html http://www.digitalbuzzblog.com/2011-mobile-statistics-stats-facts-marketing-infographic By 2014: mobile will be main way of connecting to Internet.   Younger consumers are already doing so, various activities ranging from social media to online shopping are increasing on smartphones. Smartphones are becoming the primary camera for more and more people coinciding with Instagram reaching 50 million users while smartphone users are not only always connected but engage in content snacking as this US report says  In other words, what we consume may not be different but how we consume it, how long for, how they share it and how they view it will be.
  • http:// en.wikipedia.org/wiki/Disruptive_innovation
  • http:// en.wikipedia.org/wiki/Disruptive_innovation
  • http:// en.wikipedia.org/wiki/Disruptive_innovation
  • http:// en.wikipedia.org/wiki/Disruptive_innovation
  • http://www.digitalbuzzblog.com/2011-mobile-statistics-stats-facts-marketing-infographic By 2014: mobile will be main way of connecting to Internet.   Younger consumers are already doing so, various activities ranging from social media to online shopping are increasing on smartphones. Smartphones are becoming the primary camera for more and more people coinciding with Instagram reaching 50 million users while smartphone users are not only always connected but engage in content snacking as this US report says  In other words, what we consume may not be different but how we consume it, how long for, how they share it and how they view it will be.
  • http://mashable.com/2007/07/11/google-maps-mashups-2/ A mashup is a lightweight web application that combines data from more than one source into an integrated and new, useful experience. TaxiWiz Figure out how much a cab ride is likely to cost beforehand by plotting your route in six different cities including New York and San Francisco. From LAX airport to 930 Wilshire Blvd where this conference is taking place; Estimated cost: That cab ride would cost about $42.00. That's roughly $48 with a 15% tip. It is about 17.9 miles. There is a $42.00 flat fare for trips from LAX Airport to Los Angeles. HousingMaps This site is a mashup of Craigslist with Google Maps, providing a listing of housing for rent and for sale in most major cities. The site also includes filters so you can drill down to listings in a specific price range.
  • http://techcrunch.com/2012/02/14/the-number-of-mobile-devices-will-exceed-worlds-population-by-2012-other-shocking-figures/ http://www.cisco.com/en/US/solutions/collateral/ns341/ns525/ns537/ns705/ns827/white_paper_c11-520862.html
  • Online URL for this video is: http://www.youtube.com/watch?v=EdSd32nbtoA
  • http:// en.wikipedia.org/wiki/Disruptive_innovation
  • http://hbswk.hbs.edu/item/7007.html
  • http://www.tatango.com/blog/time-spent-on-mobile-devices-outpaces-newspapers-and-magazines/ Sept 2011
  • Illustrative Cloud examples only No endorsement is implied or expressed
  • Understand your company’s and your industry’s Big Data / Modern Analytics initiatives, components, and vision within your environment: To be viewed as a powerful partner and enabler of these workloads Architect how you wish to your platform, people, and infrastructure to grow along these lines Take the daily challenge to be on top of them
  • Think larger than technology Watch the business models, learn and apply Use tools like Lotus Communities, Dropbox, Delicious…. Step by step, intentionally form your own digital worldwide footprint and network of leveraged friends sharing research – Be the change you want your world, company, and career to be The sharing process is what develops your daily sources of research and collaboration I suggest iPhone or Android smart phone ecosystems (because the others don’t really have an equivalent cosystem)
  • Identify your Big Data / new gen workloads / competitors for that workload Many non-traditional competitors for workload Laying out plans to meld / meet / build readiness for: Awareness, platform readiness, accept/intermix connectors, skills, tactics, architectures Resources to help you on this journey
  • 2012_Disruptive_Innovation_in_the_Modern_IT_World_v3_plenary_presentation

    1. 1. Disruptive Innovation in Modern IT World USA perspectiveJohn Sing, Executive Strategy Consultant, IBM Let’s compare with India perspective video 1
    2. 2. John • 31 years of experience with IBM in high end servers, storage, and softwareSing – 2009 - Present: IBM Executive Strategy Consultant: IT Strategy and Planning, Enterprise Large Scale Storage, Internet Scale Workloads and Data Center Design, Big Data Analytics, HA/DR/BC – 2002-2008: IBM IT Data Center Strategy, Large Scale Systems, Business Continuity, HA/DR/BC, IBM Storage – 1998-2001: IBM Storage Subsystems Group - Enterprise Storage Server Marketing Manager, Planner for ESS Copy Services (FlashCopy, PPRC, XRC, Metro Mirror, Global Mirror) – 1994-1998: IBM Hong Kong, IBM China Marketing Specialist for High-End Storage – 1989-1994: IBM USA Systems Center Specialist for High-End S/390 processors – 1982-1989: IBM USA Marketing Specialist for S/370, S/390 customers (including VSE and VSE/ESA) • singj@us.ibm.com • IBM colleagues may access my webpage: – http://snjgsa.ibm.com/~singj/ • You may follow my daily IT research blog – http://www.delicious.com/atsf_arizona 2
    3. 3. Disclaimer: Today’s presentation is a continuously evolving research document• The purpose of this presentation is to educate, inform, and raise awareness• On the important topic of : – What is going as of this point in 2012 in the area of Big Data, Internet Scale Data Centers, Disruptive Innovation• All information sources are in the public domain• All information sources are clearly documented and WWW URLs provided• This document is meant as a reference document, continuously evolving, for you to enlarge and expand your own research and awareness. The observation’s are the author’s alone and not necessarily the official opinion of IBM.• Illustrative examples are derived solely from generally available published analyst and journalist opinions. No express IBM endorsement is implied or intended.• Conclusive business case judgments and business actions should be made on the basis of your own research and verification. This information is provided for your professional and educational awareness. 3
    4. 4. Inter-Agenda Disciplinary1. Exploiting the opportunity: Data, Data, Data!  Real-time Data Factories  Bandwidth created “The Cloud”  Internet Scale Data Center architectures house internet scale data -disciplinary2. Disruptive Innovation in Today’s IT World  The Non-Traditional Competitor  The mobile Web 3.03. Principles, collaboration for a successful IT Future 4
    5. 5. Part 1: Exploiting the Opportunity: Data! Data! Data! 1. Exploiting the Opportunity: Data, Data, Data!  Real-time Data Factories  Bandwidth created “The Cloud”  Internet Scale Data Center Architectures house internet scale data 5
    6. 6. The nature of workloads is rapidly shifting…. Rapid unstructured data growth Unstructured data workloads = Traditional OLTP, database 6
    7. 7. Humans collecting useful data on massive scale 7
    8. 8. We are building real-time, integrated stream computing on massive scale Inter- Disciplinary n d 8
    9. 9. IBM Predictive Analytics: Movement in a City•10 minute-ahead volume forecast (blue) vs. actual •10 minute-ahead speed forecast (blue) vs. actual value (black) value (black). Blue line: IBM analytics prediction 10 minutes in advance Black line: actual result 9
    10. 10. IBM Predictive Analytics Ensuring Public Safety: video Memphis Blue CRUSH Map Memphis Blue CRUSH Map 10
    11. 11. A new class of data-rich industries is emergingNew business models: company’s value based on amount of information stored, exploited Today’s Hyperscale Tomorrow’s Hyperscale Data Companies Data Companies Industries Examples Aerospace 3.5 PB in 2010 Banking Healthcare 1 TB CT scanner → 2.5 PB/Year/Scanner Energy Provider Government Healthcare Claims 20 PB in 2011 Grow 300 TB per month, every month Insurance Processor Manufacturing Media and Entertainment Retail 11 11
    12. 12. McKinsey Global Report on Big Data – May 2011 Number of Big Data scientists and mgrs needed in USA 12
    13. 13. Will Big Data Change the Way We Compete? Already Has! Healthcare FinanceEase ofcapture Information Value 13
    14. 14. The Big Data opportunity is huge 2015: # networked devices 2x 9000 global population 8000 100Global Data Volume in Exabytes 7000 90 Total # social media accounts > Aggregate Uncertainty % 80 6000 70 global population. s) 5000 of r s in g rn nso 60 Th e 4000 S 50 et te (In 3000 40 ia ) M ed d text 2000 30 i a l an S ,oc audio 20 eo P 1000 (vid VoI 10 0 Enterprise Data Multiple sources: IDC,Cisco 2005 2010 2015 14 14
    15. 15. Inter- DisciplinaryWorldwide, Broadband Internet Speeds are Zooming 15
    16. 16. State of worldwide Internet:average Internet user connection speed http://www.de-cix.net/about/statistics/ End user average connection speed 16
    17. 17. Growth of The Cloud by 2014 • Mobile • Geo-locational • Real-time data • Shift to cloud mega-data centersSource: http://www.cisco.com/en/US/solutions/collateral/ns341/ns525/ns537/ns705/ns1175/Cloud_Index_White_Paper.html 17
    18. 18. How Big is the World? - 1 Cheaper Network 7.1x Storage 5.7x Admins 7.3x This is significant http://wikibon.org/blog/how-big-is-the-world-of-cloud-computing-infographic/ 18
    19. 19. Bandwidth Availability created “The Cloud”………… • Worldwide bandwidth • Pervasive web services delivery model – (i.e. “The Cloud”) • Data centers with massive amounts: – Processors – Storage – Network 19
    20. 20. Bandwidth and the Cloud….. • Internet-scale centers….. • Data: – 10s / 100s petabytes • Servers: – 100,000s …. • Workloads: – Require server clusters of 100s, 1000s, 10,000, more ….. 20
    21. 21. http://wikibon.org/blog/wp-content/uploads/2011/10/5-top-data-centers.html 21
    22. 22. Large Data Centers in past 2 years 10. SUPERNAP, LAS VEGAS, 407,000 SF 9A and 9B. MICROSOFT QUINCY AND SAN ANTONIO DATA CENTERS, 470,000 S 22
    23. 23. Container Data Center Architecture 7. PHOENIX ONE, PHOENIX, ARIZ. 538,000 SF Microsoft’s Chicago Container Data Center5. MICROSOFT CHICAGO DATA CENTER, Chicago 700,000 SF 2. QTS METRO DATA CENTER, ATLANTA, 990,000 SF 23
    24. 24. More data centers…. 3. NAP OF THE AMERICAS, MIAMI, 750,000 SF 4. NEXT GENERATION DATA EU 1. 350 EAST CERMAK, CHICAGO, 24
    25. 25. 2012: Other large world data centers Tulip Telecom, India, BangaloreAmadeus, Erding, Germany China to build 6.2 M sq feet data center by 2016 Utah Data Center, US Govt, 1M sq feet 25
    26. 26. That’s Big!Now….. what about the web giants? • i.e. Apple, Facebook, Google, Amazon, etc? 26
    27. 27. Here’s what powers iCloud, see Jobs at WWDC 2011 iCloud announce (YouTube) Apple iCloud Apple Apple Data Center Newark, CaliforniaData Center FAQ Rendering of Apples new North Carolina Data Center. Credit: Apple Maiden, Under construction: Prineville, Oregon North Carolina 500K sq ft USD $1Billion 27
    28. 28. Facebook Lulea, Sweden - 290K sq ft (27K sq me 28
    29. 29. Amazon Web Services 905 billion 450,000 objects servers 650K req/sec EC2 17K core, 240 teraflop clusterAmazon Web Services 1Q12: 450,000 servers 42nd fastest supercomputer in world Amazon Perdix Modular Datacenter 29
    30. 30. Inter-What is Google? Google is not a search engine Disciplinary Google is a real-time “Data Factory” ecosystem – Defacto organizer of all human internet data – Worldwide Patterns of Life data – Android ingest / output devices • Motorola Wireless acquired $12B – Supporting businesses and ecosystem roles: • Google+, Play, Shop, Books, Gmail, Docs • Voice recognitionThe history of search engine http://www.wordstream.com/articles/internet-search-engines-history 30
    31. 31. GoogleData Centersin 2008: 31
    32. 32. Google Data Center CAPEX worldwide Each data center between $200M and $600M• Capital expenditures on datacenters: – 1Q12: USD$ 607M – 2011: USD$ 3.4B – 2010: USD$ 4.0B – 2009: USD$ 809M The Dalles, Oregon 32
    33. 33. Part 2: Disruptive Innovation2. Disruptive Innovation in Today’s IT World  The Non-Traditional Competitor  Big Data, mobile Web 3.0 33
    34. 34. With all this opportunity……. Why is this Disruptive Change flat-lining traditional consumer PC / desktop manufacturers? • PC / laptop stalwarts • Unsuccessful in shift • To mobile Cloud / mobile market value *bigger increases*not azl ai pa Ct ekr a M PC/laptop market value big decreases i i t http://gigaom.com/2012/09/01/hp-dell-and-the-paradox-of-the-disrupted/ 34
    35. 35. Inter-Observe: how fast mobile internet grows by 2014 Disciplinary• By 2014:• Mobile will be main way• Of connecting to Internet 35
    36. 36. Disruptive Innovation Clayton Christensen Harvard Business SchoolDefinition:• Create new market and value• Eventually disrupts existing• Displaces earlier technology 36
    37. 37. Disruptive Innovation Clayton Christensen Harvard Business School• Not “advanced technologies”• Inferior yet “good enough”• Novel combinations• Starts low end• Grows up-market – “low end disruption” 37
    38. 38. Disruptive Innovation• Learn lessons• Watch today’s world Illustrative examples only 38
    39. 39. Disruptive Innovation Clayton Christensen Harvard Business School• “Consumerization”• Not just technology• Delivery models (cloud)• Business models• Ecosystems 39
    40. 40. Mobile will affect all business models… Mobile = Geo-locational superfood Real-time analytics 40
    41. 41. Cloud-scale Data Centers required for: Data SupertransformagicabilityTaxiWiz HousingMapsWeatherbug Source: http://mashable.com/2007/07/11/google-maps-mashups-2/ 41
    42. 42. By 2016, how much mobile data? What kind? • 2012: – Mobile-connected devices > # people Smartphones 48%• 2016: – 10 billion mobile devices Web data, – (world population: 7.3 B) video 70% http://www.cisco.com/en/US/solutions/collateral/ns341/ns525/ns537/ns705/ns827/white_paper_c11-520862.html 42
    43. 43. Will Big Data, Internet Cloud data centers, mobile-centricbusiness models affect the way we compete? Implement IT? Yes, it will! Let’s see one more video 43
    44. 44. Disruptive Innovation Clayton Christensen Harvard Business School Inter-• Big Data / Cloud on Disciplinary disruptive path• Traditional IT still around but….• Newer technologies disrupt all platforms What will the effect be on your business model? 44
    45. 45. It’s NOT your Traditional competitors you need worry about 2011: 24 million Netflix customersBlockbuster2002:“Online video notviable”“Niche market” 2010: Blockbuster files for bankruptcy 45
    46. 46. It’s NOT your Traditional competitors you need worry about Illustrative examples only 46
    47. 47. Today, customers have many non-traditional alternatives Traditional alternatives: • Non-traditional alternatives: – The Cloud, the Developing World • Other platforms • Other vendors What will the effect be on your business model? 47
    48. 48. Part 3: Principles for a successful IT Future Plans Meld / meet / build readiness Use, exploit, thrive 48
    49. 49. Big Positioning picture e gar o s, r evr es/ $BP, BT, B G : d qer e gar o S t t ’ Traditional Data Big Traditional Data Big IT Warehouse Data, IT Warehouse Data, Internet Internet scale scale 49
    50. 50. Big Positioning picture Current IT architectures Growth areas Current Mobile, Cloud IT architectures e ga o t s. r evr es/ $ Growth areasBP, BT, B G : d qer e gar o S t Mobile, Cloud r ’ Traditional Data Big Traditional Data Big IT Warehouse Data IT Warehouse Data Internet Internet scale scale 50
    51. 51. Build new, different skill sets Current IT architectures Traditional IT workload Current IT architectures e gar o s, r evr es/ $ Highly parallelized internet scale architectureBP, BT, B G : d qer e gar o S t Integrated E2E softwaret centric ’ Traditional Data Big Traditional Data Big IT Warehouse Data IT Warehouse Data Internet Internet scale scale 51
    52. 52. Key strategy Current IT architectures Traditional IT architectures• Continue modernize current traditional IT … Architect new-gen connectors,• Architect future skills expandability e gar o s, r evr es/ $• Connect with Internet scale architectures – New generation t mobile-enabled workloads Traditional Data Big IT Warehouse Data Internet scale 52
    53. 53. To successfully co-exist / thrive with new generation workloads Views new gen• Understand Big Data / new as powerful partner gen workload environment Traditional IT architectures• Successfully innovate new capabilities• Expand your understanding r evr es/ $ Views Internet scale traditional IT architectures as powerful• Be the change you want your enabler company to be Traditional Data Big IT Warehouse Data Internet scale 53
    54. 54. Inter-How to get ahead and thrive in this new world? Disciplinary• 2012: devote 1st hour of day to keeping current – No longer optional• Establish power-knowledge digital footprint, intelligently sharing what you find – Don’t email what you find (too much email already) – Use social networking, social bookmarking, blogs, etc• Become a power user of your smartphone’s ecosystem 54
    55. 55. • My external sources, daily IT research:Keeping – http://delicious.com/atsf_arizonaCurrentJohn Sing’sbookmarks – http://www.linkedin.com/in/johnsing – https://www.facebook.com/john.sing1 • IBM colleagues may also see my IBM Intranet webpage: – http://snjgsa.ibm.com/~singj/ – http://snjgsa.ibm.com/~singj/public/sonas_index.html • singj@us.ibm.com 55
    56. 56. Inter-Learning Points Disciplinary 1. Exploitation of the opportunity: Data, Data, Data!  Is being done in real-time Data Factories on internet scale today  Bandwidth will continue to create “The Cloud”  Must understand and study how Internet Scale Data Center architectures house internet scale data -disciplinary 2. Hyper-pace of Disruptive Innovation in Today’s IT World  Beware the Non-Traditional Competitor  The Mobile Web 3.0 is already impacting all business models 3. Invest your 1st hour of every day in being a part of the future  Be the change you want your company to be 56
    57. 57. Inter- Inter-disciplinary Current IT Traditional IT Disciplinary Disruptive Innovation: New gen workloads r evr es/ $ Greatest opportunity to Internet scale workloads thrive we have yet seen disciplinary Inter- Traditional Data Big IT Warehouse Data Internet scale Big Data Identify inter-disciplinary new Applications Exascale datacenters generation workloads, business models Cloud  Massive parallelism Business Models  E2E automation Mobile Know non-traditional competitors wellDevelop / implement to meld, meet, use, exploit, thrive with new reality 57
    58. 58. Together, let’s build a Smarter Planet 58

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