The document discusses knowledge management systems (KMS). It defines key terms like data, information, and knowledge. It describes the benefits of KMS for businesses like increased efficiency and reduced uncertainty. It also discusses challenges of managing knowledge like knowledge hoarding. The document provides examples of how companies like Xerox have successfully implemented KMS to share solutions and expertise globally. It concludes that developing new knowledge is only one challenge and that acquiring, diffusing, and embodying knowledge in products are also important for effective knowledge management.
This presentation was delivered by EK CEO Zach Wahl at the 2023 Midwest KM Symposium in Kent State, Ohio. The presentation defines Knowledge Management and its value. It also covers key industry trends and outcomes.
This presentation introduces Knowledge Management for organizations and includes some models of KM System we have developed. There are some models in Knowledge Mapping.
Origins and domain of Knowledge Management
Technological development
Characteristics of knowledge
Knowledge Management as a Management Tool
Critical elements of Knowledge Management strategy
Tactic Knowledge Management
Knowledge Management and Process Performance
Outsourcing Concept
Study of Knowledge Management Articles:
Part 1: A Critical Review Of Knowledge Management As A Management Tool.
Part 2: The Use Of Tacit Knowledge Within Innovative Companies: Knowledge Management In Innovative Enterprises.
Part 3: Knowledge Management and Process Performance.
Part 4: Knowledge Outsourcing.
Presentation About what is Knowledge Management but specifically what is Knowledge Management Tools which are Available for Evaluating the Business Models of the Organisation.
This presentation was delivered by EK CEO Zach Wahl at the 2023 Midwest KM Symposium in Kent State, Ohio. The presentation defines Knowledge Management and its value. It also covers key industry trends and outcomes.
This presentation introduces Knowledge Management for organizations and includes some models of KM System we have developed. There are some models in Knowledge Mapping.
Origins and domain of Knowledge Management
Technological development
Characteristics of knowledge
Knowledge Management as a Management Tool
Critical elements of Knowledge Management strategy
Tactic Knowledge Management
Knowledge Management and Process Performance
Outsourcing Concept
Study of Knowledge Management Articles:
Part 1: A Critical Review Of Knowledge Management As A Management Tool.
Part 2: The Use Of Tacit Knowledge Within Innovative Companies: Knowledge Management In Innovative Enterprises.
Part 3: Knowledge Management and Process Performance.
Part 4: Knowledge Outsourcing.
Presentation About what is Knowledge Management but specifically what is Knowledge Management Tools which are Available for Evaluating the Business Models of the Organisation.
MIST.601 Management Information SystemsResearch Project Proposal.docxannandleola
MIST.601 Management Information Systems
Research Project Proposal
Name
Ryan Schwalbe
Title
Robot Lawyers – The Future of Artificial Intelligence in Law
Synopsis
(Briefly describe your research proposal with the following criteria.)
Purpose
The purpose of this project is to discuss how artificial intelligence (AI), also referred to as machine based learning, is currently being used in the legal industry. Furthermore, the project intends to discuss the benefits of this technology in addition to the challenges clients and attorneys face both working with and against it.
Problems & Issues
One of the various issues the industry is facing with AI technology is the general adoption and implementation into traditional document review models. Many clients and senior attorneys are still hesitant to rely on computers for document review calls without the validation by human lawyers. The technology also requires a technical understanding of computer science and statistical methodologies used in machine based workflows, which many lawyers do not have experience in. AI methods can also reduce the number of human attorneys necessary to facilitate electronic document reviews. As the technology continues to evolve this could potentially create a drought for attorneys that would have otherwise been needed for the review work.
Organizational Impacts
It’s already been proven that large scale document reviews leveraging AI software can significantly reduce the legal spend when compared to traditional search term and linear based human review models. Courts are now more accepting of this approach due mostly to the controversy surrounding e-discovery related costs proportional to the financial damage merits of many law suits. The technology has also been proven to increase the accuracy and consistency of document reviews which reduce the associated risks of missing key documents and producing sensitive privilege materials inadvertently.
Suggestions
Companies, law firms and governing bodies alike need to continue evaluating the needs and uses of this learning technology for practical legal applications. Currently, there are many private vendor companies with expertise in this area but the lack of standardizations in the industry has created a diverse range of AI software and practices which has in turn has caused confusion through complexity. Industry standard practices should be developed so that training can be standardized, implemented and adopted across the legal community more rapidly.
Future Implications & Directions
As the AI technology in legal review continues to develop the need for human review and even second level validation will continue to decrease. Courts will become more accepting of the process and corporate clients will be less tolerant of expensive, bloated document review costs. Attorneys will need to be armed with both the legal and technical knowledge necessary in order to stay relevant in next generation law firms.
Other ...
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Hydropower is also the most efficient means we know of to convert energy into electricity.
Typically 85%-95% of the energy in water is converted to electricity, compared to 15%-20% for PV solar, 35%-45% for wind, and 30%-45% for coal.
Assumptions: Strategy already defined Strategy not subject to sudden chang...PRIYANK JAIN
Assumptions:
Strategy already defined
Strategy not subject to sudden change
Strategy Development separate from Implementation
Framework for Strategy Implementation
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Role of Ethnopharmacology in drug evaluation,
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How to Create Map Views in the Odoo 17 ERPCeline George
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2. “The systematic process of creating, maintaining and
nurturing an organization to make the best use of
knowledge to create business value and generate
competitive advantage”
Nancy C. Shaw
3. Knowledge Management
Fundamentals
Data: Facts, numbers or individual entities without
context or purpose.
Information: Data that has been organized into a
meaningful context (to aid decision making).
Knowledge: The human capacity (potential &
actual ability) to take effective action in varied and
uncertain situations
4. Forms of Knowledge
Concepts, methodologies
Facts, beliefs, truths & laws
Know what, Know how, Know why
Judgments, expectations and insights
Relationships, leverage points
Intuition & feelings
Meaning and sense making
5. Benefits of Good Business
Knowledge Management
The foundation of the enterprise
Increases when shared
Snowball effect when shared (innovation)
Creates value through efficiency (process
knowledge)
Reduces uncertainty/ increases time of response
(environment knowledge)
Enhances the current value of products
(customer knowledge)
6. Difficulties of Managing Corporate
Knowledge Management
Usually exists in the minds of individuals
Buried in old reports
Knowledge Hoarding
Often leaves the organization with the employee
7. Why is KMS important?
Companies can...
Sustain knowledge regarding their products
and services
Connect employees with knowledge they
otherwise wouldn't have
Encouraging innovation and ideas
Creating better business decisions
Expedite projects due to less wait time of
information
8. How can this be done?
Actively managing knowledge in a database or
repository
Creating incentives for employees for providing
and updating and using knowledge
Experts of the field providing information that will
help others better accomplish their jobs
Use of Wiki’s, Software solutions
9. Difference between Data, Information,
and Knowledge
Knowledge
Data
Information
Data
interpretation
Elaboration Learning
Interpreted symbol structures
- used to interpret data, elaborate on
information, and learn
- used withun the decision steps
Interpreted symbols and symbol
structures
- input to a decision step
- output from a decision step
Observed uninterpreted symbols
- signs, character sequences,
patterns
Aamodt A., Nygārd M. Different roles and mutual dependencies of data, information and knowledge - An AI
perspective on their integration. Data &Knowledge Engineering, 1995.
11. KMS components
From the point of view of knowledge flow
The flow of knowledge
Knowledge cryptography
Communities of knowledge workers
Knowledge repositories and libraries
12. KMS components
From the technical viewpoint
Software interface
Access and authentication tools
Collaborative intelligence tools
Application level software
Transport level software
Middleware and legacy integration software
Repositories
13. Tools for knowledge
internalization
Case base
Problem
description
Describes the problem
S
e
n
d
s
a
ttrib
u
te
s
Retrieves
matchingcases
Searches for
similar cases
Matching cases
c1
c3
c2
Deliverssimilarcases
Addsthenewcase
Selects theappropriate case
1
2
3
4
5
6
15. KM system Seven layers
architecture
Interface layer
Access and authentication layer
Collaborative intelligence and filtering
Application layer
Transport layer
Middleware and legacy integration layer
Repositories
16. Knowledge Types
Tacit knowledge
(Subjective)
Explicit knowledge
(Objective)
Knowledge of experience
(body)
Simultaneous knowledge
(here and now)
Analog knowledge (practice)
Knowledge of rationality
(mind)
Sequential knowledge (there
and then)
Digital knowledge (theory)
17. Example: KMS Software
Tacit Active Net
Helps to find people
Initiate and manage collaboration
Coordinate your activities automatically with those of other
people across the enterprise
Automatically learns about people's activities and focus,
and identifies who should be talking or working together
Makes it easy to locate and share files, find answers to
questions, or find the online conversations you should join
18. KM - Impact on businesses
According to a survey conducted by E&Y in 2012on business
intelligence, 87% of companies, whatever their industry is believe that
they are knowledge based business.
Promotes many “healthy” business activities
The recording of knowledge artefacts
Quality management of knowledge
Leveraging lessons learned from past decisions and
experiences
The sharing of best practices and the building of
consistent processes
19. KM Impact on businesses
cont’
Knowledge management involves stewards (those
accountable for knowledge)
Knowledge management eliminates the risks associated with
attrition.
knowledge management system promotes getting a good
understanding of the knowledge, information, and data needs
of employees
A knowledge management portal provides 24x7 access to
ALL recorded knowledge
20. Case Study - Xerox
Established in the 1980’s – The Document
Company
KM Incorporated into Organizational Business
Strategy (1995)
Conduced extensive research before introduction
into organization
Effectively communicated to employees the
benefits of using KM
21. Case Study - Xerox
Eureka
Goal: To share intellectual capital
Information System created to share solutions
worldwide
Benefits: Saves time, resources and money
Example: A solution developed in Toronto was used
by someone in South America. In this case the
person discovered that they did not have to replace
a $40,000 machine that they were having difficulties
with, they only had to replace a 90 cent connector.
Docushare
Web-based tool
Enabled research lab community to share progress
with other scientists working on the same project.
22. The Challenge of Knowledge
Management
Not only of how to develop new knowledge,
BUT
how to locate and acquire others’ knowledge
how to diffuse knowledge in your organisation
how to recognize knowledge interconnections
how to embody knowledge in products
how to get access to the learning experiences
of customers