Transcript Future Trends - Society for Information Management

Lewis Shepherd
Chief Technology Officer
Microsoft Institute for Advanced Technology in Governments
www.ShepherdsPi.com
FUTURE TRENDS:
INFORMATION MANAGEMENT
IN 2015
A Move from DIA to Microsoft
America’s Long Tradition of
Government Supporting Research
Simon 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.”
America’s Long Tradition of
Government Supporting Research
Later in 1861:
Named by Abraham Lincoln to head the
19th Century’s military-industrial
complex (Secretary of War)
1862:
Ousted for corruption, censured by the
House of Representatives for “contract
manipulations”
1866:
Re-elected to U.S. Senate
Why I Joined this Small West-Coast Startup
Business
Division
Platform and Entertainment &
Online Services Devices Division
Division
Research &
Development
Security
Quantum Computing
& Cryptography
Collaboration
Aids
Vaccine
Robotics
R&D Budget 2008: $8 Billion
2009: $9 Billion
MSR Growth
Research PhD’s
MSR Cambridge
 Research lab locations :
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Redmond, Washington
San Francisco, California
Cambridge, United Kingdom
Mountain View, California
Bangalore, India
(Sep, 1991)
(Jun, 1995)
(July, 1997)
(July, 2001)
(Jan, 2005)
MSR India
“Institute” in Organizational Context
The Breadth of MS Research
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Platform Elements
◦ Networking, Distributed systems, Operating
systems
◦ Cellphone and other Devices
◦ Sensor networks
◦ Security, Protection against Malware,
Identity
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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
Connecting Developer and IT
◦ Languages, tools, compilers
◦ Revolutionizing software and services
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Media
◦ Graphics and Multimedia
◦ Digital Photography and Video
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Science
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AIDS Vaccine, Quantum Computing
eScience – Bioinformatics, Astronomy
Algorithms, Cryptography
Economic models
Rapidly Changing Technology
Predicting is hard
 Computational power
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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
141,000 end users
260,000 computers
550 Buildings in 98 countries
358,000 SharePoint sites
435 million unique users
2,500 internal applications
280 billion page views/day
3 million internal emails/day
20 million incoming emails
per day (97% filter)
29 billion emails sent/day
42,000,000 remote
connections per month
6 billion instant messages
(IMs) per day
Technology Themes Benefiting from
Increased Speed and Scale
 Cloud Computing
 Security & Mobile
 Human-Computer Interaction
 Immersive Data
 Geospatial /Robotics/Social Networks
 Semantic Computing
2015: What will continue to be
important to I.M. leaders?
 Right information
 Right people
 Right time
 ALL information
 Right information
 Right people
 ALL people
 Right time
 ALL the time
All Information
• Explosion of data-rich Social Media
• Semantic techniques & semantic computing
• Hybrid machine/human translation
 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
Social Streams: Real-Time Social Media Mining
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.
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Facilitates discovery, browsing, and sharing of online info,
keeping the user up-to-date and informed about events &
attention being paid to them
“Political Streams” – OSINT Early Warning System
Online Info/Blogosphere Viz & Data Mining
http://socialstreams.livelabs.com/
Semantically Enabled “Research Desktop”
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Research Desktop Activities allows users to add
semantic tags & labels to related documents,
images, e-mails, and other items.
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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.
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.
Consumer/Web-User Semantics
 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
Research Desktop demo
subordinated to creating experiences that
enhance human community building and
interaction.
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
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
Google-Powered “Nice Translator”
www.NiceTranslator.com
MS-Powered Real-Time Translation in Browser
All People
• Social Networks
• Presence
• Assured Identity
Human Terrain Analysis:
“Largest Social Network Ever Analyzed”
 ”Planetary-Scale Views on a Large InstantMessaging 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
Visualizing the Human Terrain
Looks like Tom Friedman was right…
The More Things Change…
 “This is the first time a planetary-scale social
network has been available to validate the wellknown “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.”
Some Findings:
 “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.”
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
All the Time
• Cloud Computing
• Live Mesh
• Software + Services
-> Immersive “augmented reality”
“Cloud Computing”:
Different Definitions
Technically, 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
Azure: Enterprise-Class
Cloud Services
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.
Azure: The Web as an Application Platform
 Blogging, social networking
 Data processing/transformation
 Content upload, sharing, discovery
 Storage, computation, messaging
 Identity
 Mashups: composing data and
applications
SensorMap
Functionality: Map navigation
Data: sensor-generated
temperature, video camera
feed, traffic feeds, etc.
Microsoft Institute-sponsored
development: Semantic Virtual Earth
Integrates real-time
“real-world” data
from VE, into rich 3D
immersive
simulation
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.
GeoSynth: the Semantic Metaverse
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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
Microsoft Tag
 Small, colorful codes that can be printed,
displayed, emailed, disseminated anywhere
 Simple software works on any smartphone
(yes, even Apple’s iPhone)
Link to online
information
Simplify
personal or
business
contacts
http://www.microsoft.com/tag
Tying it All Together: Live Mesh
Access to all your data, anywhere
http://www.mesh.com
http://www.mesh.com
more information
http://research.microsoft.com
[email protected]
www.ShepherdsPi.com
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