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FUTURE TRENDS: INFORMATION MANAGEMENT IN 2015

A Move from DIA to MicrosoftFrom: Tim Hoekstra [mailto:thoekstra@earthlink.net] Sent: Friday, February 01, 2008 2:41 PMTo: Sean SullivanSubject: FW: address update from lewis

He'll work for anyone so long as it's an evil empire. ----- Original Message ----- From: Lewis Shepherd To: Lewis Shepherd Cc: lewisshepherd@stanfordalumni.orgSent: 2/1/2008 2:34:22 PM Subject: address update from lewis

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.  We can also keep in touch through LinkedIn, for me it's the easiest of the social-networking sites to use.  I’m athttp://www.linkedin.com/in/shepherdprofile

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America’s Long Tradition of Government Supporting

ResearchSimon Cameron, U.S. Senator from Pennsylvania

A leading voice during 1861 debate over Smithsonian Institution funding, during run-up to War

“I am tired of all this thing called science....

We have spent millions in that sort of thing for the last few years, and it is time it should be stopped.”

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Later in 1861: Named by Abraham Lincoln to head the 19th Century’s military-industrial complex (Secretary of War)

1866:Re-elected to U.S. Senate

1862: Ousted for corruption, censured by the House of Representatives for “contract manipulations”

America’s Long Tradition of Government Supporting

Research

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Why I Joined this Small West-Coast Startup

Platform and Online

Services Division

Entertainment & Devices Division

Business Division

Research & Development

Security

Aids Vaccine

Quantum Computing& Cryptography

Robotics

Collaboration

R&D Budget 2008: $8 Billion 2009: $9 Billion

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MSR Growth

Research lab locations : Redmond, Washington (Sep, 1991) San Francisco, California (Jun, 1995) Cambridge, United Kingdom (July, 1997) Mountain View, California (July, 2001) Bangalore, India (Jan, 2005)

MSR Cambridge

MSR India

Research PhD’s

“Institute” in Organizational Context

Microsoft Institute for Advanced Technologies in Governments

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The Breadth of MS Research 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

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Rapidly Changing TechnologyPredicting is hard

Computational power Multi/Many-core CPUs Graphics 3x per year Storage 2x per year Networking 4x per year

New devices Ubiquitous connectivity Nano Technology The Web

Microsoft Inc. as an Enterprise Example

435 million unique users

6 billion instant messages (IMs) per day

280 billion page views/day

29 billion emails sent/day

141,000 end users

260,000 computers

550 Buildings in 98 countries

358,000 SharePoint sites

2,500 internal applications

3 million internal emails/day

20 million incoming emails per day (97% filter)

42,000,000 remote connections per month

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Technology Themes Benefiting from Increased Speed and Scale Cloud Computing Security & Mobile Human-Computer

Interaction Immersive Data

Geospatial /Robotics/Social Networks

Semantic Computing

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2015: What will continue to be important to I.M. leaders?

Right information

Right people Right time

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Right information

Right people Right time

ALL information

ALL people ALL the time

All Information

• Explosion of data-rich Social Media

• Semantic techniques & semantic

computing

• Hybrid machine/human translation

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Semantic Computing Leveraging our positions as world’s

largest hosting company, world’s largest email provider, world’s largest IM platform

Finding Meaning in our Search & our Hosted Social Platforms

Microsoft Live Search index =25 TB content, 3500 queries/sec

Mining Social Media: the Twitterverse http://www.TweetGrid.com

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A robust acquisition and mining platform supporting research and product exploration in social-media analysis. 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.

Stream is consumed by real-time mining components that can be assembled into compelling desktop applications.

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.

Real-time mining application analyzes social media for references to news articles, allowing ranking of news & opinions as discussed online.

Facilitates discovery, browsing, and sharing of online info, keeping the user up-to-date and informed about events & attention being paid to them

Social Streams: Real-Time Social Media Mining

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“Political Streams” – OSINT Early Warning SystemOnline Info/Blogosphere Viz & Data Mining

http://socialstreams.livelabs.com/

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Research Desktop Activities allows users to add semantic tags & labels to related documents, images, e-mails, and other items.

Using the semantic labels, users can easily activate a particular task or switch between  multiple tasks.

Dedicated information spaces:  Personal Library to collect books,

manuscripts, relevant articles and media

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.  

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.

Easier discovery of trends in data.

Semantically Enabled “Research Desktop”

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.

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Creating overlays over the World Wide Web

Storing a location-transparent digital memory that works to personalize, semantically relate, and socially enhance experiences of the web

Designed to integrate with traditional desktop

Will first be packaged and projected via the browser -- but that is just a delivery channel

About putting the human back in the center of the experience of technology

Every aspect of our UI and technology is subordinated to creating experiences that enhance human community building and interaction.

Consumer/Web-User Semantics

Research Desktop demo

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Translation Research

MSR’s Natural Language Processing group has developed a hybrid Human/Machine Translation (MT) system Has both data-driven and rule-based

components Learns translation mappings automatically

from bilingual sentence pairs (Microsoft product TMs)

Allows semi-automated human-in-the-loop with a wiki

Google’s MT group is using speed of first-pass API allows integration by 3rd-parties

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Translation Research

MSR’s Natural Language Processing group has developed a hybrid Machine Translation (MT) system Has both data-driven and rule-based

components Learns translation mappings automatically

from bilingual sentence pairs (Microsoft product TMs)

The system has been used successfully by the internal Customer Support group to translate knowledge-base articles

Its use is being extended to localization work for selected Microsoft products

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Google-Powered “Nice Translator”

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www.NiceTranslator.com

MS-Powered Real-Time Translation in Browser

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All People

• Social Networks

• Presence

• Assured Identity

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”Planetary-Scale Views on a Large Instant-Messaging Network” – Eric Horvitz

One month of traffic on MS Messenger (May 2007)

Dataset contained “summary properties” of 30 billion conversations among 240 million people

The communication graph constructed includes 180 million nodes, 1.3 billion undirected edges

Human Terrain Analysis:“Largest Social Network Ever Analyzed”

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Visualizing the Human Terrain

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Looks like Tom Friedman was right…

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“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.”

“We used a population sample that is more than two million times larger than the group studied earlier and confirmed the classic finding.”

The More Things Change…

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“We find that people tend to communicate more with each other when they have similar age, language, and location”

“Cross-gender conversations are both more frequent and of longer duration than conversations with the same gender.” 

Some Findings:

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MashupOS: Security in Cloud Services• Today’s mashups turn the browser into a multi-user system

• Mutually distrusting domains become co-users• No control on content integrated from different domains

MashupOS will apply operating system principles to mashups• Service-based resource isolation• Protected, data-only, message-based

communication between services

Invokes well-understood Secure OS principles to provide a stable security foundation to replace today's mashup anarchy

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All the Time

• Cloud Computing

• Live Mesh

• Software + Services -> Immersive “augmented reality”

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“Cloud Computing”:

Different DefinitionsTechnically, they may all be “Off-premise, Virtualized, Scalable (up and down)”

But Different Business Models

•Utility computing - Virtual hosting (e.g. Rackspace Cloud)

•Cloud storage - Data hosting (e.g. Flickr, Amazon S3)

•SaaS - Hosted services, email, Ims (e.g. Salesforce.com)

•PaaS (“Platform as a Service”) hosted apps.(e.g. Google Apps Engine)

We are bringing these elements together into a cohesive platform: Windows Azure

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Azure: Enterprise-Class Cloud

Services

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Windows Azure Services Platform

Internet-scale cloud computing and services platform

• Hosted in Microsoft data centers.

• Provides a range of functionality to build applications that span from individual mashup to enterprise scenarios.

• Includes a cloud operating system and a set of developer services.

• Fully interoperable through the support of industry standards and web protocols such as REST and SOAP.

• You can use the Azure services individually or together, either to build new applications or to extend existing ones.

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Blogging, social networking Data

processing/transformation Content upload, sharing,

discovery Storage, computation,

messaging Identity Mashups: composing data and

applications

Azure: The Web as an Application Platform

SensorMapFunctionality: Map navigationData: sensor-generated temperature, video camera feed, traffic feeds, etc.

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Microsoft Institute-sponsored development: Semantic Virtual Earth

Integrates real-time “real-world” data from VE, into rich 3D immersive simulation

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PhotoSynth: Beyond “Image-Stitching”

A technology that analyzes related images and links them together appropriately, to re-create physical environments in a navigable virtual space.

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GeoSynth: the Semantic Metaverse

• Hostable behind a secure enterprise firewall• Useful on huge datasets (e.g. Flickr, individual

hard-drives)• PhotoSynth captures all metadata with images• Will enable semantic image browsing , searching ,

geolocation

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Small, colorful codes that can be printed, displayed, emailed, disseminated anywhere

Simple software works on any smartphone (yes, even Apple’s iPhone)

Microsoft Tag

Link to online information

Simplify personal or business contacts

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Tying it All Together: Live MeshAccess to all your data, anywhere

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http://www.mesh.com

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