The classical “share your documents” approach is outdated. We expect the relevant information coming to us – but nothing else, as we want to avoid Information Overload as much as possible. Microsoft’s new Office Graph and Codename “Oslo” are coming to help us – but are they really the future of discovering and consuming information? In this contrarian session, I’m going to introduce the modern Knowledge Management paradigms and semantic approaches, as well as techniques and methods that can be used. As a key takeaway, attendees will understand how to overcome Information Overload in a proactive way.
4. Agenda
• Information Overload Challenges
• Data vs. Information vs. Knowledge
• Enterprise Search
• Delve
• Office Graph
• Modern Knowledge Management
10. Data vs. Information vs. Knowledge
• Data: Facts and figures of the World. Data is
not organized.
• Information: Contextualized, categorized,
calculated and organized data. Has a
purpose.
• Knowledge: Understanding, experience,
insight, intuition and information put into
context.
11. Information Architecture
The art and science of organizing and labeling
the CONTENT
(documents, web sites, blog posts, database entries, etc.)
to support findability and usability
24. Manager
Direct report
Works with
Shared with me
Viewed by me
Trending around me
Presented to me
Liked by me
Works with
Modified by
Jenny Gottfried
Trending around
Jenny Gottfried
Modified by
Jenny Gottfried
Liked by
Jim Geist
Emailed to me
Emailed to me
Works with
Modified by
Jim Geist
Modified by
Alan Brewer
Commented on
Commented on
Trending around
Nancy Anderson
Display Templates
Query Builder
Result Sources
Query Rules
“The Average Person Today
Processes More Data in a Single Day
Than a Person in the 1500’s Did
In an Entire Lifetime.”
Mitchell Kapor: the founder of Lotus Development Corporation, the first chair of the Mozilla Foundation.
Robby Walker
Average novel: 64.500 words
Amazon Text Stats
Distracting, unmanageable
KM is about…
KM Tools
Codification - collecting and storing codified knowledge in previously designed electronic databases to make it accessible to the organization
Personalization - encouraging individuals to share their knowledge directly
Proactive
“Passive”
Agnes
Search metaphor broken and outdated
Transition to Dan
Maybe that’s not what we should be focused on… setup for findability
Dan
Agnes
One way to think about Office Graph & Delve is as the mashup of
6 billion EDGES (raltionships)
Identifying them is critical – but not easy at all!!!