A blast from the past - a talk I gave at Documation 1999 entitled "Managing Knowledge in the Fractal Enterprise". Interestingly, the themes touched on in this presentation have proved resilient and useful in all the years since. If anything, the ideas seem closer to the mark today than they did 20 years ago!
Speaker: Allam Ahmed, SPRU
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You can watch a video of this presentation at:
https://youtu.be/ncIVJFLBXZ8
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The first step in building an information architecture is to get an overview of your ‘information landscape’, ie a picture of your current content. This involves investigation and modelling.
Community IT Innovators’ Katherine Mowers, Senior Consultant, and Matthew Eshleman, Director of Professional Network Services, shared at the about their work to build nonprofit capacity through strategic assessment and implementation of technology, at the Anne Arundel Funders Roundtable Feb. 23, 2012, and event sponsored by Association of Baltimore Area Grantmakers.
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The webinar presentation deck for "Intranet Content Management in a Social World" webinar, presented by Toby Ward, Founder, Prescient Digital Media.
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A how-to 60-minute webinar hosted by Toby Ward, founder of Prescient Digital Media and the Digital Workplace & Intranet Global Forum conference series. You will learn:
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- Dos and Don'ts for content management and SharePoint
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See www.Invotra.com for more information.
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Speaker: Allam Ahmed, SPRU
Presentation at the Eldis 20th Anniversary event "Learning from 20 years of digital knowledge sharing for global development" held at IDS on Thursday 15 September 2016 and Friday 16 September 2016.
You can watch a video of this presentation at:
https://youtu.be/ncIVJFLBXZ8
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Whatever your content, you need some level of information architecture in order to find it, store it and manage it.
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See www.Invotra.com for more information.
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4. Knowledge Management
The Question
The latter 20th Century will be noted for:
unprecedented pace of research and innovation
technology growth driven by the Cold War
Knowledge is Power (Scientia est Potentia)
As creating, managing and applying knowledge has
become more vital, so has it become more difficult to
accomplish
Knowledge Management
“A buzzword with a message”
5. What is Knowledge
A Practical Definition
Knowledge is a public artifact
Knowledge is different than ideas, experience,
habits, and opinions
Knowledge has been “published” and is available for
testing and criticism
Knowledge is part of a professional discourse
Knowledge evolves through “natural selection”
The Knowledge Value-Chain connects:
• Data
• Information
• Knowledge
6. Data
Data is a collection of discrete factual records
A Unit of Data, a Datum, is devoid of meaning
beyond the virtue of having been:
selected
retained
managed
7. Information
Information is a meaningful organization of
data
Information is meaningful because it has been
organized and communicated within a specific
context and with a specific purpose (intention)
In information, data is organized so as to influence
or direct (inform) the actions of an intended
recipient
8. Knowledge
Knowledge is a meaningful organization of
information
Knowledge is therefore a form of communication
Unlike information, the usefulness of a piece of
knowledge is not limited to a specific context
Communicating knowledge entails conveying an
understanding that allows the recipient to apply the
intention and organizing principles behind the
information to a broad range of contexts
9. Knowledge in Action
An Example
Task
Instruction
Examples
Feedback
Theory
Information
Knowledge
Author
Commentary
Information Action Knowledge Understanding
10. Knowledge Management
Building a Working Definition
What do we manage when we manage
knowledge?
Physical Information Messages and their:
• Connection to Events (Context)
• Connection to Author and Audience
• Connection to Organization and Process
• Relationships to other Information Messages
• Training modules, examples, background principles
• Commentary (feedback)
• Classifications, interpretations, criticisms
• Implementation Feedback
11. Knowledge Management
Building a Working Definition
What does managing Knowledge mean?
A Physical Dimension
• Creating and Managing a Matrix of Information
Messages (a web of connections) that forms the
Knowledge Assets of an organization
• Managing the ongoing availability and accessibility
of Knowledge Assets
A Behavioural Dimension
• Designing and Managing a process for creating,
sharing, retaining, evolving and applying knowledge
13. Automation
Investments in Knowledge Application
Automated Systems
implement process knowledge to reduce workload
• initial instructions
• feedback responses
• exception handling
focus on limited problem domains
have relied on controlled environments
have demanded continuous optimization
Organizations exhibit a “rage to automate”
symptom of the volume of knowledge being applied
15. The Distributed Enterprise
The walls come tumbling down
The Notion of an Enterprise
Not the same as an Organization
• Single entity from an ownership perspective
Enterprise
“A bold or imaginative undertaking” (OED)
Any collection of organizational components
assembled to undertake a common endeavour
An Enterprise is always distributed
Sharing Knowledge is the defining feature
16. The Distributed Enterprise
The Challenge
Sharing Knowledge across boundaries
easier said than done
a myriad of barriers including political, legal & cultural
Two technical barriers:
Knowledge Assets cannot move between enterprise
components due to:
• Proprietary formats prevent data exchange
• Automated Systems were never designed to share
information with other systems
(proprietary by nature)
18. CALS
US DOD tackles the problem head-on (1985)
1940 1960 1980 2000
GOAL
Supplier and Client
STDS
INTERIM SOLUTION
Supplier ClientSupplier
PROBLEM
Client
20. SGML
The First Experience in Knowledge Interchange
SGML
Provided phenomenal power for describing,
exchanging and processing knowledge
• Syntax of SGML reflected human communication
• Absolute flexibility allowed infinite adaptations
• Computationally difficult to implement
Adopted in the Military and Aerospace domains
• where money was not the main consideration
Not leveraged to address non-textual information
EDI, Graphics, Product Data, Business Forms
21. SGML
Key Innovation
The Key Innovation of SGML:
• Naming Something (understanding it) is different
than describing what should be done with it (defining
its behaviour)
• Naming Something is the important part
SGML gives us the ability to:
• abstract Knowledge from Behaviour
• manage an organization’s knowledge assets and
thereby determine how it will behave (its potential)
23. World Wide Web
Opening the door to even the smallest player
Original Objective (1989)
“to allow information sharing within internationally
dispersed teams”
The Web proved several things:
Simplicity will always succeed (HTML)
Universal goals could be met by a simple application
of a complex standard (SGML)
The Web changed the business landscape
Now any organization could play in the “Enterprise”
24. World Wide Web
Key Innovation
The Key Innovation of the Web:
• Deciding what to do (intention) is different than
determining how it should be done (execution)
• Deciding what to do is the important part
The Web gives us the ability to:
• abstract Intention from Execution
• form and evolve the intention (objective) behind an
enterprise separately from how it will be executed
technically and organizationally
26. XML offers Simplicity
A Double Edged Sword
XML offers Simplicity
• An Application Profile constraining the use of SGML
• Promises Broader application support
• Potential for ubiquitous browser support
Simplicity leads to Adoption
• Potential for Knowledge Sharing becomes a reality
Wide-scale Adoption leads to Complexity
• Previously isolated systems become connected
• All Knowledge Assets can be exchanged between
systems and organizations
27. XML
The Potential
XML can be used to:
Encode and manage the Matrix of Information
Messages that make up Knowledge Assets
Encode all forms of information:
• Graphics (e.g. Scalable Vector Graphics)
• Multimedia (e.g. Synchronized Multimedia
Integration Language)
• Product Data (e.g. it will re-implement STEP)
• EDI / Forms
Exchange knowledge assets in their full form across all
manner of boundary
28. XML
Key Innovation
The Key Innovation of XML:
• Fusing the innovations of SGML and the Web
• Naming Something (understanding it) is different than
describing what should be done with it (defining its
behaviour)
• Deciding what to do (intention) is different than determining
how it should be done (execution)
XML gives us the ability to:
• abstract Knowledge from Behaviour
• abstract Intention from Execution
29. XML
The Language of the Fractal Enterprise
The Fractal Enterprise
• Each entity enters an Enterprise with its own
knowledge assets and intentions
• The Enterprise must aggregate these assets and
intentions into a whole
• It is a fractal enterprise because each entity is
similar to the whole and to the other parts of the
enterprise (right down to individuals)
• The aggregated knowledge and intention determine
the collective behaviour (potential) of the enterprise
and guide its physical actions (execution)
30. The
Unconscious Organization
The Opposite of the Fractal Enterprise
The Unconscious Organization
• Guided by opinion and supposition
• No Matrix exists in which Knowledge can be
“published” and no shared intention exists
• Systems implement things that are not
understood
• objectives and requirements are unarticulated
• business rules are “hardwired”
• the consequences are often unexpected
• entropy erodes the investment rapidly
• This is reality today for most organizations
31. The Future
Managing Knowledge in the Fractal Enterprise
XML provides the technical ability to manage
knowledge
XML gives us the abstraction tools for
addressing the complex issues of forming
and managing the modern enterprise
• Knowledge and Intention must exist on a
separate plane from potential behaviour and
actual execution
• Knowledge and Intention must continually
guide behaviour and execution
32. The Future
Deliberate Systems
Deliberate Systems
• Automated Systems entirely formed based on a
clear understanding of the knowledge to be
implemented and the intentions that will guide it
• Automated Systems designed to respond to the
evolving knowledge of an enterprise and to its
adapting intentions
• Automated Systems that are critical to applying
the vast knowledge assets of the modern
enterprise
33. Managing knowledge on one plane
while facilitating its application on another
Recurrent Pattern