1. SYSTEMATIC THOUGHT LEADERSHIP FOR INNOVATIVE BUSINESS Marek Kowalkiewicz, Konrad Juenemann SAP Research Improving information quality in email exchanges by identifying entities and related objects

2. External reports and user studies  AIIM on Ford Motor Company: knowledge workers spend 15– 25% of their time on non- productive information–related activities.  Time Wasted Searching (IDC*)  A general average of time spent searching: 2.5 hours per day, or roughly 30% of the workday. Only 50 % of searchers led to successful results.  Assumptions: salary = USD80000 annual plus benefits, 1000 knowledge workers, 2.5 hours searching on average, 50% of the information not indexed properly.  Result: An enterprise employing 1,000 knowledge workers wastes $48,000 per week, or nearly $2.5 million per year, due to an inability to locate and retrieve information.  In the aggregate, the Fortune 1000 stands to waste at least $2.5 billion per year due to an inability to locate and retrieve information. * http://www.viapoint.com/doc/IDC%20on%20The%20High%20Cost%20Of%20Not%20Finding%20Information.pdf

3. Trends  Mash-ups are becoming more and more important  Context-enriching technologies predominantly used in Web advertising  Operating systems and standard applications collect related information (Apple Mail)

4. Current situation  Email still a killer application, especially in businesses  Emails often suffer from low contextual information quality -> automatic provision of related information can improve that  Entity recognition technologies have matured -> can we use them to improve contextual information quality?

5. Object identification  NER – a subject of NLP  The best systems achieve over 93% of f- measure (humans: around 97%) in NER  Popular NER systems Open source: ANNIE Dual licence: Calais Commercial: ThingFinder

6. Yowie – Situation & Proposed Solution Situation Proposed Solution Facilitating Technology / Selected Industries Image Data and information volumes reaching epidemic levels Employees spending up to 25% of their time searching (but often not finding) Problem: „I don’t know what I need to know” Text processing technologies have matured MS Office has become fully extensible Create one-stop-shop for information gathering Provide actionable information (+ links to actions) Seamlessly integrate with standard office tools Become fully extensible and transparent to users Text analytics technology from Business Objects Business productivity software (i.e. MS Office) Cross-industry solution Defense as a first proof-of-concept industry 1. Analyse text 2. Collect and show information 3. Link to actions 4. Trigger external applications

7. Yowie in MS Outlook Yowie4Outlo ok Fully integrated with MS Outlook 2007 Ability to access internal information (contact folders, email content) Ability to create new documents in Outlook (emails, appointments) Pre-fetching related information as emails arrive Caching (pre-) fetched information for future use Customisable

8. Yowie in MS Word Yowie4Word Fully integrated with MS Word 2007 Processing documents of any size Highlighting recognized entities Customisable roles

9. Yowie – Architecture Integration with Business Productivity Software Access to other Applications (e.g. ERP) Make it easy to extend Yowie to support new entities / provide new actions Recognize Entities “Host Plugins” “Guest Plugins” Inxight ThingFinder™ “Modules”

10. Yowie – Architecture © SAP 2008 / Page 10 “Host Plugins” “Guest Plugins” Inxight Thingfinder “Modules” …Sammy… {Sammy Jankis, email=…} {Sammy Jankis, email=…, revenue=…} {Sammy Jankis, email=…, revenue=…}

11. Prototype summary  Directly access data and functionality in business productivity software  Able to access ERP, Web Services, applications, …  Extensible, modular architecture  Supports “hot-plugging” of modules  Automatic module composition  Offers background processing, caching, uniform configuration  Supports definition of user roles

12. THANK YOU! Contact: Marek.Kowalkiewicz@sap.comMarek.Kowalkiewicz@sap.com