The Biggest Transition in the History of IT

2. The Biggest Transition in the History of IT Adam Hickson Channel Development Manager Autonomy

3. 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

4. Over 65,000 Customers IT 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 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 Telecommunications T-Mobile Alcatel-Lucent Sprint Qwest MCI Worldcom Sonera AT&T BT Telecom Italia 3 Vodafone Media 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 Financial 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 Pharmaceutical Astra Zeneca Novartis GlaxoSmithkline Organon SAIC Saludalia LocusMedicus Pfizer Roche BlueCross/Shield Monsanto Energy Total Fina Elf Norsk Hydro BP US Dept of Energy Halliburton GE Energy Services SPE.org MOL Encana Devon Energy E-Commerce Tesco Louis Vuitton RadioShack BUT Safeway.com Napster Toys R US The NewsMarket Albertsons Legal Freshfields White & Case Butterworths Law Society Addleshaw Linklaters Allen & Overy Slaughter & May Baker & McKenzie Professional Services KPMG PWC AMR Research Butler Group Choicepoint

5. Market Leading Technology Annual Revenue ($m) Annual Profit ($m) Total Annual R&D spend ($m)

6. 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 Big Data 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 Cloud 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 Less than 5% of enterprises really have an enterprise wide IG program. Through 2013, at least 30% of enterprises will include data governance and integration requirements as part of their strategies Mobile 88% of the fortune 500 are testing or deploying the iPhone at scale. 75% of CIOs are exploring thinner architectures as a way to support a wider range of endpoint devices

7. 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 inIThas 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

8. Database Approach Attempt to organize datasets for computers to understand • 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

10. Human Information: Keywords & Tags Fail... • 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

11. 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 Keywords and metadata do not solve this problem. We need to automate the processing as well as retrieval of human information.

13. 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 x

14. Patterns of Use: Context • 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

16. Rich Media

17. Applications for Audio and Video Analytics

18. One Platform: 500 Functions & 400 Connectors • 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

19. The IT industry handles 15% of the problem, we need to do 100%

21. Protecting the enterprise Promoting the enterprise Verticals Customer Optimization Contact Center Multi-channel integration Multi-channel Analytics Revenue Optimization Rich Media Management Social Media Web Content Management Energy E-Commerce Financial Services Government Healthcare Information Technology Legal Manufacturing Media Pharmaceutical Archiving Analytics Compliance E-Discovery Governance Legal Hold Policy Records Management Social Media SOFTWARE CLOUD HYBRID SOFTWARE CLOUD HYBRID SOFTWARE CLOUD HYBRID Powering the enterprise Automation Big Data SQL Backup and Recovery BPM Analytics Pan Enterprise Search Database Archive SOFTWARE CLOUD HYBRID OEM

22. Success Depends on Understanding All Forms of Information …Unstructured and Structured

23. 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 The world is not only SQL