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The Biggest
Transition in the
History of IT
Adam Hickson
Channel Development Manager
Autonomy
© Copyright 2011 Hewlett-Packard Development Company, L.P.
2The information contained herein is subject to change without notice.
Autonomy, an HP Company
In November 2011, HP acquired Autonomy for $11bn
Autonomy operates as HP’s Information Management
division
– Opportunity to shape the industry’s information and data
market, reinventing how information is processed,
analyzed, optimized and protected
– Benefits from the scale and strength of HP’s resources
–
The next chapter of the Autonomy
and HP story is already looking
like a best-seller.
Computer Business Review
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Over 65,000 Customers
Media
IT
Reuters
Bloomberg
AOL
LexisNexis
CNN
Knight Ridder
Martha Stewart Omni.
Wolters Kluwer
BBC
BskyB
National Public Radio
McGraw Hill
Reed Elsevier
HBO
Forbes
Associated Newspapers
Belga NV
Shanghai News Agency
Rai
Channel 4
Condé Nast
HarperCollins
IBM
Intel
Logica
OpenMarket
Seagate
Oracle
Symantec
Finsiel
Cebit
OTEnet
Juniper Networks
Wipro
Accenture
HP
BEA
Sun
Sybase
Unisys
Brio
Vignette
Cap Gemini
EMC Corporation
Epiphany
Cisco Systems
McAfee
Energy
Total Fina Elf
Norsk Hydro
BP
US Dept of Energy
Halliburton
GE Energy Services
SPE.org
MOL
Encana
Devon Energy
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E-Commerce
Tesco
Louis Vuitton
RadioShack
BUT
Safeway.com
Napster
Toys R US
The NewsMarket
Albertsons
Government/
Investig.
US Dept. Of Defense
US Dept. Of Health
NASA
UK Police Forces
US Army
DERA
Swiss Army
Port of Singapore
Customs & Excise
UK Cabinet Office
UK COI
UK MOD
Pharmaceutical
Astra Zeneca
Novartis
GlaxoSmithkline
Organon
SAIC
Saludalia
LocusMedicus
Pfizer
Roche
BlueCross/Shield
Monsanto
Legal
Freshfields
White & Case
Butterworths
Law Society
Addleshaw
Linklaters
Allen & Overy
Slaughter & May
Baker & McKenzie
Telecommunications
Financial
T-Mobile
Alcatel-Lucent
Sprint
Qwest
MCI Worldcom
Sonera
AT&T
BT
Telecom Italia
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Vodafone
Citigroup
CapitalOne
Royal SunAlliance
Dresdner Kleinwort
Fidelity
Deutsche Bank
HSBC Investment
Lloyds TSB
Danske Bank
Bank of Montreal
New York Life
ABN Amro
AMP Henderson
Darier Hentsch
Goldman Sachs
Banco de Espana
Schroders
UBS
Fireman’s Fund Insurance
Merrill Lynch
Barclays
Credit Suisse
Commerzbank
Legal and General
Abbey
Bank of America
JPMorganChase
Wachovia
Manufacturing/FMCG
General Motors
BAE Systems
Nestle
Volkswagen
Chrysler
Skanska
Agilent
Philip Morris
Ford Motor Company
Goodyear
Aluminium Pechiney
Boeing
Lexmark
Texas Instruments
Agilent Technologies
Philips
DTI
Arup
Frito-Lay
Kohler
Eastman Kodak
John Deere
Mercedes-Benz
Nissan
Sony
Professional Services
KPMG
PWC
AMR Research
Butler Group
Choicepoint
Market Leading Technology
Annual Revenue
($m)
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100
0
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350
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2010A
Annual Profit ($m)
300
250
200
150
100
50
0
2003A
160
2004A
2005A
2006A
2007A
2008A
Total Annual R&D
spend ($m)
140
120
100
80
60
40
20
0
2003A
5
2004A
2005A
2006A
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Market Drivers & Trends
Social Media
58% of organizations use social
media channels, 21% plan to;
however, they are not prepared for
the change it will bring. Only 12%
consider themselves effective
social media users
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Big Data
Cloud
Volume is not the problem; the
real problem is the inability to
analyze it properly.
Organizations that put new
information types and sources into
a coherent IM infrastructure will
outperform industry peers by 20%
by 2015
Through 2012, IT orgs will spend
more on private clouds than public
77% of FS CIOs plan to have
more than 50% of transactions
take place on cloud infrastructure
in the next 9 years; 73% on SaaS
apps
Governance
Mobile
Less than 5% of enterprises really
have an enterprise wide IG
program.
88% of the fortune 500 are testing
or deploying the iPhone at scale.
Through 2013, at least 30% of
enterprises will include data
governance and integration
requirements as part of their
strategies
75% of CIOs are exploring thinner
architectures as a way to support
a wider range of endpoint devices
IT Platforms Operate On Structured Data - Humans don’t
When the IT world started machines
could not understand the real world of
rich information, so a useful simpler
analogy was created this gave rise to
the structured data world, it has proved
very useful.
Over the years there have been many
technology changes, the T in IT has
changed many times, Mainframe , client
server, IP, Cloud……….
Now meaning based technologies allow machines to understand human information
As a result the enterprise is moving towards human-friendly information
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Database Approach
Attempt to organize datasets for computers to understand
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•
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Relational Databases:
–
Attempt to hammer the world flat by normalizing the data
–
Does account for shades of grey
–
Cannot understand or organize unstructured information
Object-oriented Databases
–
Information is represented in the form of objects
–
Focuses on the relationships between objects
–
Only stores content blobs, doesn’t understand what is in the content
In Memory? Hadoop? Map Reduce?
These do not solve the fundamental problem
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Human Information: Keywords & Tags Fail...
•
•
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•
•
•
•
•
•
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Manual process
Multiple definitions
Non real-time
Inaccurate, subjectivity
Limited definitions, no relativity
No idea distancing
No specificity
No discovery
Many practical issues
Interoperability of tagging
• Information is diverse
Text, Sound, XML, Video and Audio
• It does not exactly match
“Is Snoopy a dog?”
• Meaning is dynamic
“The wicked wolf got boiled – Wicked!”
• Meaning is multi-layered
• Meaning is relative
• Meaning is a common currency
• Ideas don’t match they have distance
Standard
Unstructured
Amount
15%
85%
Growth
22%
62%
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Keywords and metadata do not solve this
problem.
We need to automate the processing as well
as retrieval of human information.
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Patterns of Data: Meaning
•
Patterns found within disparate heterogeneous structured sources
•
Not restricted to manually defined schemas
•
Automatically find the most relevant fields
•
Global variable view beyond unitary predictive models
•
Find pattern exceptions
0
13
x
Patterns of Use: Context
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Beyond closed loop descriptive models
•
Potential & committed behaviour patterns inform descriptive space
•
Unlimited domain aggregation, any user interaction can participate
•
Automatically evaluates community use trends
•
Automatically evaluates individual user use trends
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Rich Media
Applications for Audio and Video Analytics
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One Platform: 500 Functions & 400 Connectors
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Conceptual distance understanding
•
Meaning extraction
•
Meets most demanding security requirement
•
Language agnostic
•
Supports over 1,000 file types and 400
content repositories
•
Automates processes in real time
•
Social, audio, video, text
•
Distributable
•
Real time
•
Manage in place
•
Petabyte and beyond scalability
The IT industry handles 15%
of the problem, we need to do 100%
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Success Depends on Understanding All Forms of
Information
…Unstructured and Structured
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For the first time in the history of the IT industry, it’s the I that is
changing not the T
Oracle handles 15% of the problem, we handle 100%
Big data, it’s big but is it clever?
The thing to own in the cloud is the information
Customers don’t send you database tables: they call, email or
tweet
Up to now, humans have had to fit to the machine, now the
machine fits to the humans
We can no longer deny the reality of our lives: people do not live in
rows and columns
Policy, regulation and governance are build on human meaning
and intent, not SQL
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The world is not only SQL