4. Source: “A Business Report – Big Data Gets Personal,” MIT Technology Review, May 2013.

5. Source: International Data Corporation (IDC); McKinsey Global Institute Analysis Source: “Three Gaps for Employee Productivity and What They Mean for IT,” CEB Survey, April 2013.

6. Inside the deluge lie important & relevant data Behavioral patterns & preferences drive a blueprint Thus, inside your data is also the key to solutions

9. Discuss what we are building and why Overview of how these features can look & feel Get your insight and feedback to shape what ships

12. Spend less time on unimportant things, and more time on important things Quickly clean up the unimportant things Overall Mail User Experience “feels” less cluttered 1 st 2 nd 3 rd

13. Mail you are highly likely not going to read Patterns learned based on your personal behavior Unlike junk, no universal view of a given sender or message

18. Mail Content Actions Analysis Who Sent It? Was it high importance? Are you on the to line? Did you read it? Did you reply to it? Training Learning about you Classification Applying that learning Mail Content Analysis Who Sent It? Was it high importance? Are you on the to line? Will you treat the mail like clutter? Learning Summary (Weights) Learning Summary (Weights) Clutter or Not Clutter

21. Begin WW rollout to Office 365 this year Support for all clients - mobile, tablet, desktop Sends notification when system has a good model

24. Quick triage of emails Always fresh and relevant At a glance view of what is in your Inbox

29. New search experiences raised user expectations Suggestions Instant results Relevant refiners

30. Users struggle to find what they are looking for, re-searching frequently Source: OXG Search Focus Groups PAIN POINTS

31. Introducing personalized search

33. Come and see more in-depth discussion about Search in Exchange ARC.203 Wednesday 1:00-2:15 in Ballroom F