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Future Trends: Information Management in 2015<br />&lt;footer text&gt;<br />
A Move from DIA to Microsoft<br />From: Tim Hoekstra [mailto:thoekstra@earthlink.net] Sent: Friday, February 01, 2008 2:41...
America’s Long Tradition of Government Supporting Research<br />Simon Cameron, <br />U.S. Senator from Pennsylvania<br />A...
America’s Long Tradition of Government Supporting Research<br />Later in 1861: <br />Named by Abraham Lincoln to head the ...
Why I Joined this Small West-Coast Startup<br />Entertainment  & Devices Division<br />Business Division<br />Platform and...
MSR Growth<br />Research PhD’s<br />MSR Cambridge<br />Research lab locations : <br />Redmond, Washington 		(Sep, 1991)<br...
“Institute” in Organizational Context<br />Microsoft Institute for Advanced Technologies in Governments<br />&lt;footer te...
The Breadth of MS Research<br /><ul><li>Platform Elements
Networking, Distributed systems, Operating systems
Cellphone and other Devices
Sensor networks
Security, Protection against Malware, Identity
Connecting Developer and IT
Languages, tools, compilers
Revolutionizing software and services
Web
Search and Advertising
Knowledge management
Cybersecurity
Data and Documents
Database Architectures, Data Mining
Machine learning, Fighting SPAM
Meta data extraction, authoring
User Interfaces, Social Computing, and Collaboration
New UI – Speech, Ink, Gesture, Natural Language, Large Displays, Surface Computing
Meetings and Collaboration
Modeling of People and Groups
Technologies for Emerging Segments
Media
Graphics and Multimedia
Digital Photography and Video
Science
AIDS Vaccine, Quantum Computing
eScience – Bioinformatics, Astronomy
Algorithms, Cryptography
Economic models</li></ul>&lt;footer text&gt;<br />
Rapidly Changing TechnologyPredicting is hard<br /><ul><li>Computational power
Multi/Many-core CPUs
Graphics 3x per year
Storage 2x per year
Networking 4x per year
New devices
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Information Management Trends 2009

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Technology Trends 2009-2015

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Information Management Trends 2009

  1. 1. Future Trends: Information Management in 2015<br />&lt;footer text&gt;<br />
  2. 2. A Move from DIA to Microsoft<br />From: Tim Hoekstra [mailto:thoekstra@earthlink.net] Sent: Friday, February 01, 2008 2:41 PMTo: Sean SullivanSubject: FW: address update from lewis<br />He&apos;ll work for anyone so long as it&apos;s an evil empire.<br /> <br />----- Original Message ----- <br />From:Lewis Shepherd<br />To: Lewis Shepherd<br />Cc: lewisshepherd@stanfordalumni.org<br />Sent: 2/1/2008 2:34:22 PM <br />Subject: address update from lewis<br />Hi - Because I hate losing total track of people as I have moved around, I want to make sure you have my new email address since happily joining Microsoft.  <br />We can also keep in touch through LinkedIn, for me it&apos;s the easiest of the social-networking sites to use.  I’m at<br />http://www.linkedin.com/in/shepherdprofile<br />&lt;footer text&gt;<br />
  3. 3. America’s Long Tradition of Government Supporting Research<br />Simon Cameron, <br />U.S. Senator from Pennsylvania<br />A leading voice during 1861 debate over Smithsonian Institution funding, during run-up to War<br />“I am tired of all this thing called science.... <br />We have spent millions in that sort of thing for the last few years, and it is time it should be stopped.”<br />&lt;footer text&gt;<br />
  4. 4. America’s Long Tradition of Government Supporting Research<br />Later in 1861: <br />Named by Abraham Lincoln to head the 19th Century’s military-industrial complex (Secretary of War)<br />1862: <br />Ousted for corruption, censured by the House of Representatives for “contract manipulations”<br />1866:<br />Re-elected to U.S. Senate<br />&lt;footer text&gt;<br />
  5. 5. Why I Joined this Small West-Coast Startup<br />Entertainment & Devices Division<br />Business Division<br />Platform and Online Services Division<br />Research & Development<br />Security<br />Quantum Computing<br />& Cryptography<br />Aids <br /> Vaccine<br />Collaboration<br />Robotics<br />R&D Budget 2008: $8 Billion<br /> 2009: $9 Billion<br />&lt;footer text&gt;<br />
  6. 6. MSR Growth<br />Research PhD’s<br />MSR Cambridge<br />Research lab locations : <br />Redmond, Washington (Sep, 1991)<br />San Francisco, California (Jun, 1995)<br />Cambridge, United Kingdom (July, 1997)<br />Mountain View, California (July, 2001)<br />Bangalore, India (Jan, 2005)<br />MSR India<br />
  7. 7. “Institute” in Organizational Context<br />Microsoft Institute for Advanced Technologies in Governments<br />&lt;footer text&gt;<br />
  8. 8. The Breadth of MS Research<br /><ul><li>Platform Elements
  9. 9. Networking, Distributed systems, Operating systems
  10. 10. Cellphone and other Devices
  11. 11. Sensor networks
  12. 12. Security, Protection against Malware, Identity
  13. 13. Connecting Developer and IT
  14. 14. Languages, tools, compilers
  15. 15. Revolutionizing software and services
  16. 16. Web
  17. 17. Search and Advertising
  18. 18. Knowledge management
  19. 19. Cybersecurity
  20. 20. Data and Documents
  21. 21. Database Architectures, Data Mining
  22. 22. Machine learning, Fighting SPAM
  23. 23. Meta data extraction, authoring
  24. 24. User Interfaces, Social Computing, and Collaboration
  25. 25. New UI – Speech, Ink, Gesture, Natural Language, Large Displays, Surface Computing
  26. 26. Meetings and Collaboration
  27. 27. Modeling of People and Groups
  28. 28. Technologies for Emerging Segments
  29. 29. Media
  30. 30. Graphics and Multimedia
  31. 31. Digital Photography and Video
  32. 32. Science
  33. 33. AIDS Vaccine, Quantum Computing
  34. 34. eScience – Bioinformatics, Astronomy
  35. 35. Algorithms, Cryptography
  36. 36. Economic models</li></ul>&lt;footer text&gt;<br />
  37. 37. Rapidly Changing TechnologyPredicting is hard<br /><ul><li>Computational power
  38. 38. Multi/Many-core CPUs
  39. 39. Graphics 3x per year
  40. 40. Storage 2x per year
  41. 41. Networking 4x per year
  42. 42. New devices
  43. 43. Ubiquitous connectivity
  44. 44. Nano Technology
  45. 45. The Web</li></ul>&lt;footer text&gt;<br />
  46. 46. Microsoft Inc. as an Enterprise Example<br />141,000 end users<br />260,000 computers<br />550 Buildings in 98 countries <br />358,000 SharePoint sites<br />2,500 internal applications <br />3 million internal emails/day<br />20 million incoming emails per day (97% filter)<br />42,000,000 remote connections per month<br />435 million unique users<br />280 billion page views/day<br />29 billion emails sent/day <br />6 billion instant messages (IMs) per day<br />&lt;footer text&gt;<br />
  47. 47. Technology Themes Benefiting from Increased Speed and Scale<br />Cloud Computing<br />Security & Mobile<br />Human-Computer Interaction<br />Immersive Data<br />Geospatial /Robotics/Social Networks<br />Semantic Computing <br />&lt;footer text&gt;<br />
  48. 48. 2015: What will continue to be important to I.M. leaders?<br />Right information <br />Right people<br />Right time<br />&lt;footer text&gt;<br />
  49. 49. ALL information <br /> ALL people<br /> ALL the time<br />Right information <br />Right people<br />Right time<br />&lt;footer text&gt;<br />
  50. 50. All Information<br /><ul><li> Explosion of data-rich Social Media
  51. 51. Semantic techniques & semantic computing
  52. 52. Hybrid machine/human translation</li></ul>&lt;footer text&gt;<br />
  53. 53. Semantic Computing<br />Leveraging our positions as world’s largest hosting company, world’s largest email provider, world’s largest IM platform<br />Finding Meaning in our Search & our Hosted Social Platforms <br />Microsoft Live Search index =25 TB content, 3500 queries/sec<br />&lt;footer text&gt;<br />
  54. 54. http://www.TweetGrid.com<br />Mining Social Media: the Twitterverse<br />&lt;footer text&gt;<br />
  55. 55. Social Streams: Real-Time Social Media Mining<br />A robust acquisition and mining platform supporting research and product exploration in social-media analysis. <br />Platform acquires social-media data, such as Blogs, Usenet, and Twitter in real time or near real time and provides a stream of this content. <br />Stream is consumed by real-time mining components that can be assembled into compelling desktop applications. <br />Platform provides a content store that gives access to the textual content of the media, as well as statistics and other meta-data describing the publications and authors serving and creating the content. <br />Real-time mining application analyzes social media for references to news articles, allowing ranking of news & opinions as discussed online.<br />Facilitates discovery, browsing, and sharing of online info, keeping the user up-to-date and informed about events & attention being paid to them<br />&lt;footer text&gt;<br />
  56. 56. “Political Streams” – OSINT Early Warning SystemOnline Info/Blogosphere Viz & Data Mining<br />http://socialstreams.livelabs.com/<br />&lt;footer text&gt;<br />
  57. 57. Semantically Enabled “Research Desktop”<br />Research Desktop Activities allows users to add semantic tags & labels to related documents, images, e-mails, and other items.<br />Using the semantic labels, users can easily activate a particular task or switch between  multiple tasks. Dedicated information spaces:  <br />Personal Library to collect books, manuscripts, relevant articles and media<br />Notes to enable simple storage and access to content snippets, URLs, and other bits of information that can easily be misplaced or can be difficult to find.   <br />Tools and services that can be used in various contexts. Users can easily analyze individual books or collections of publications, create a co-author network.<br />Easier discovery of trends in data.<br />Research Desktop augments the standard desktop environment with concepts and designs that enable new ways of working and managing resources. RD provides semantic enabling within four key areas: Activities, Tools, Library and Notes. <br />&lt;footer text&gt;<br />
  58. 58. Consumer/Web-User Semantics<br />Creating overlays over the World Wide Web<br />Storing a location-transparent digital memory that works to personalize, semantically relate, and socially enhance experiences of the web<br />Designed to integrate with traditional desktop<br />Will first be packaged and projected via the browser -- but that is just a delivery channel<br />About putting the human back in the center of the experience of technology<br />Every aspect of our UI and technology is subordinated to creating experiences that enhance human community building and interaction.<br />Research Desktop demo<br />&lt;footer text&gt;<br />
  59. 59. Translation Research<br />MSR’s Natural Language Processing group has developed a hybrid Human/Machine Translation (MT) system<br />Has both data-driven and rule-based components<br />Learns translation mappings automatically from bilingual sentence pairs (Microsoft product TMs)<br />Allows semi-automated human-in-the-loop with a wiki<br />Google’s MT group is using speed of first-pass<br />API allows integration by 3rd-parties<br />&lt;footer text&gt;<br />
  60. 60. Translation Research<br />MSR’s Natural Language Processing group has developed a hybrid Machine Translation (MT) system<br />Has both data-driven and rule-based components<br />Learns translation mappings automatically from bilingual sentence pairs (Microsoft product TMs)<br />The system has been used successfully by the internal Customer Support group to translate knowledge-base articles<br />Its use is being extended to localization work for selected Microsoft products<br />&lt;footer text&gt;<br />
  61. 61. Google-Powered “Nice Translator”<br />&lt;footer text&gt;<br />www.NiceTranslator.com<br />
  62. 62. MS-Powered Real-Time Translation in Browser<br />&lt;footer text&gt;<br />
  63. 63. All People<br /><ul><li> Social Networks
  64. 64. Presence
  65. 65. Assured Identity</li></ul>&lt;footer text&gt;<br />
  66. 66. Human Terrain Analysis:“Largest Social Network Ever Analyzed”<br />”Planetary-Scale Views on a Large Instant-Messaging Network” – Eric Horvitz<br />One month of traffic on MS Messenger (May 2007)<br />Dataset contained “summary properties” of 30 billion conversations among 240 million people<br />The communication graph constructed includes 180 million nodes, 1.3 billion undirected edges<br />&lt;footer text&gt;<br />
  67. 67. Visualizing the Human Terrain<br />&lt;footer text&gt;<br />
  68. 68. Looks like Tom Friedman was right…<br />&lt;footer text&gt;<br />
  69. 69. The More Things Change…<br />“This is the first time a planetary-scale social network has been available to validate the well-known “6 degrees of separation” finding by Travers and Milgram [1969]. The earlier work employed a sample of 64 people and found that the average number of hops for a letter to travel from Nebraska to Boston was 6.2 (mode 5, median 5), which is popularly known as the “6 degrees of separation” among people.”<br />“We used a population sample that is more than two million times larger than the group studied earlier and confirmed the classic finding.”<br />&lt;footer text&gt;<br />
  70. 70. Some Findings:<br />“We find that people tend to communicate more with each other when they have similar age, language, and location”<br />“Cross-gender conversations are both more frequent and of longer duration than conversations with the same gender.” <br />&lt;footer text&gt;<br />
  71. 71. MashupOS: Security in Cloud Services<br /><ul><li>Today’s mashups turn the browser into a multi-user system
  72. 72. Mutually distrusting domains become co-users
  73. 73. No control on content integrated from different domains </li></ul>MashupOS will apply operating system principles to mashups<br /><ul><li>Service-based resource isolation
  74. 74. Protected, data-only, message-based </li></ul> communication between services<br />Invokes well-understood Secure OS principles <br />to provide a stable security foundation <br />to replace today&apos;s mashup anarchy <br />&lt;footer text&gt;<br />
  75. 75. All the Time<br /><ul><li>Cloud Computing
  76. 76. Live Mesh
  77. 77. Software + Services </li></ul>-&gt; Immersive “augmented reality”<br />&lt;footer text&gt;<br />
  78. 78. “Cloud Computing”: Different Definitions<br />Technically, they may all be “Off-premise, Virtualized, Scalable (up and down)”<br />ButDifferent Business Models<br /><ul><li>Utility computing - Virtual hosting (e.g. Rackspace Cloud)
  79. 79. Cloud storage - Data hosting (e.g. Flickr, Amazon S3)
  80. 80. SaaS - Hosted services, email, Ims (e.g. Salesforce.com)
  81. 81. PaaS (“Platform as a Service”) hosted apps.(e.g. Google Apps Engine)</li></ul> We are bringing these elements together <br /> into a cohesive platform: Windows Azure<br />&lt;footer text&gt;<br />
  82. 82. Azure: Enterprise-Class Cloud Services<br />&lt;footer text&gt;<br />
  83. 83. Windows Azure Services Platform<br />Internet-scale cloud computing and services platform<br /><ul><li> Hosted in Microsoft data centers.
  84. 84. Provides a range of functionality to build applications that span from individual mashup to enterprise scenarios.
  85. 85. Includes a cloud operating system and a set of developer services.
  86. 86. Fully interoperable through the support of industry standards and web protocols such as REST and SOAP.
  87. 87. You can use the Azure services individually or together, either to build new applications or to extend existing ones. </li></ul>&lt;footer text&gt;<br />
  88. 88. Azure: The Web as an Application Platform<br />Blogging, social networking<br />Data processing/transformation<br />Content upload, sharing, discovery<br />Storage, computation, messaging<br />Identity<br />Mashups: composing data and applications<br />SensorMap<br />Functionality: Map navigation<br />Data: sensor-generated temperature, video camera feed, traffic feeds, etc.<br />&lt;footer text&gt;<br />
  89. 89. Microsoft Institute-sponsored development: Semantic Virtual Earth<br />Integrates real-time “real-world” data from VE, into rich 3D immersive simulation <br />&lt;footer text&gt;<br />
  90. 90. PhotoSynth: Beyond “Image-Stitching”<br />A technology that analyzes related images and links them together appropriately, to re-create physical environments in a navigable virtual space. <br />&lt;footer text&gt;<br />
  91. 91. GeoSynth: the Semantic Metaverse<br /><ul><li>Hostable behind a secure enterprise firewall
  92. 92. Useful on huge datasets (e.g. Flickr, individual hard-drives)
  93. 93. PhotoSynthcaptures all metadata with images
  94. 94. Will enable semantic image browsing , searching , geolocation</li></ul>&lt;footer text&gt;<br />
  95. 95. Microsoft Tag<br />Small, colorful codes that can be printed, displayed, emailed, disseminated anywhere<br />Simple software works on any smartphone (yes, even Apple’s iPhone) <br />Link to online information<br />Simplify personal or business contacts<br />http://www.microsoft.com/tag<br />&lt;footer text&gt;<br />
  96. 96. Tying it All Together: Live MeshAccess to all your data, anywhere<br />http://www.mesh.com<br />&lt;footer text&gt;<br />
  97. 97. http://www.mesh.com<br />&lt;footer text&gt;<br />

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