Kate Pugh, Columbia University, will talk about how information governance is the delicate balance of information management and collaboration. We use both our left brain and right brain, leveraging our keen analytical and quantitative skills, and our dynamic, improvisational skills. But there is more that meets the eye here. Growing your organization's collaboration capacity pays off in better participation in information governance. Growing your organization's information management capacity pays off in building a more trusting and transparent place to take personal risks and innovate. As we embrace new content, such as sound files and internet of things sensor data. And as we collaborate across corporate boundaries and industries, being bi-lingual pays off.
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Katrina Pugh - #InfoGov17 - Information & Collaboration: A Match Made In Heaven
1. M A S T E R O F S C I E N C E I N
Informa3on and Knowledge Strategy
Informa(on & Collabora(on:
A Match Made In Heaven
September 28, 2017
Kate Pugh
AlignConsulting and Columbia University
kp2462@columbia.edu
4. 4
Information Management:
It’s about transparency and timeliness
Access, Use/
Innovate
(search, subscribe,
get and apply,
create)
Capture
(e.g., elicit,
record, codify)
Organize,
Store
(e.g., tag, store in
media)
Metadata strategy,
taxonomy
4
Info mgt and collab for Info Gov 4
5. 5
Collaboration:
It’s about attitude and identity
Get
(Demonstrate
measurable
value)
Feel (Build
confidence,
trust, get
“networked”)
Act (e.g.,
Transfer
knowledge)
Management
Strategy
Source: Katrina Pugh, “Sustainable Communi3es: 10 CSFs for Keeping the Faith,” IBM Syn.chrono.us blog,
2010 hUp://synch.rono.us/social/blog.nsf/dx/07192010091946AMSLIHMX.htm
5 Info mgt and collab for Info Gov
5
8. Analy0cs and Cogni0ve Search
Info mgt and collab for Info Gov 8
En3ty Extrac3on Auto-Classifica3on and
Metadata Processing
Word and Phrase Disambigua3on
Concept Iden3fica3on
Text Analysis
Meaning-Based Analysis
Sen3ment Analysis
Event Analysis
Machine Learning
Learning by Example
Deep Learning
DeepQA
10. Knowledge Networks: 4 Types of Impacts
Prac00oner Support
Transla0on, Local Adapta0on
Horizontal Coordina0on
CoP Learning / Innova0on
Pugh and Prusak, “Designing Effec0ve Knowledge Networks” Sloan Mgt Review, 2013
Info mgt and collab for Info Gov
10
11. 2013: Columbia/Motorola Research: 4 Discussion disciplines drive innova0on
Skifstad and Pugh, “Beyond ne3queUe: Discussion discipline drives innova3on” (In Smarter Innova,on, Ark Group, 2014).
Discussion
discipline
Descrip0on
1. Integrity
Use true voice, research views,
Ask ques0ons that propel
2. Courtesy
Respect others and forum.
3. Inclusion
Broaden the perspec0ve.
Explain terms, call others in.
4. Transla0on
Summarize/use insights
generated, and help others
with summariza0ons.
Benefit to
Collabora0on
Primarily tonal;
builds community
and social capital.
Primarily content-
related; drives
innova0on.
11Four Discussion DisciplinesInfo mgt and collab for Info Gov 11
12. These are interdependent!
Info mgt and collab for Info Gov 12
Access, Use/
Innovate
(search, subscribe,
get and apply,
create)
Capture
(e.g., elicit,
record, codify)
Organize,
Store
(e.g., tag, store in
media)
Get
(Demonstrate
measurable
value)
Feel (Build
confidence,
trust, get
“networked”)
Act (e.g.,
Transfer
knowledge)
Act includes
sharing, tagging
Gelng
requires good
findability
Elici3ng requires
transla3on / diversity
Organizing requires
collec3ve sense-making,
conversa3on
Sharing directly or
indirectly is behind
findability - empathy
Confidence, trust
lead to quality
engagement and
content
contribu3on
14. IM and Collabora0on are using different brain
func0ons
Info mgt and collab for Info Gov 14
PFC – planning, linear Lateral brain connec3ons
IM: Rows and Columns Collabora3on: Circles
16. IoT: Info and Collabora0on
• Standards
• Open source
• Partnerships
Info mgt and collab for Info Gov 16
17. We must bring our whole selves…
Comply Be inter-
dependent
Be ready
to change
Coordina3on Collabora3on Coopera3on
Source: Columbia University Information and Knowledge Strategy Master’s Program, 2016
17
18. Pugh IoT April 2017 18
Kate Pugh, Columbia University
Pugh IoT April 2017 18
kp2462@Columbia.edu
www.sps.columbia.edu/ikns
www.alignconsul3nginc.com
TwiUer: katrinapugh
• KM and the Internet of Things (KMWorld, 2016, with Ralph Poole)
• Smarter Innova,on (Ark Group)
• Designing Effec3ve Knowledge Networks (MIT Sloan Management
Review)
• Sharing Hidden Know-How (Wiley/Jossey-Bass)