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KNOWLEDGE MANAGEMENT
Lecture Series
KNOWLEDGE MANAGEMENT
VRDE, Ahmednagar

Dr K C Vora
Why KM?
Change is Accelerating
18
16
14
12
10
8
6
4
2
0
0

6

12

18

24

30

36

Optical
p
Network Speed
doubles every 8
months
Storage
capacity
doubles every
12 months
Computing
power doubles
every 18
months

dot COM storage requirements double every 90
days
What is KM? An Enterprise Perspective
The strategies, processes, and technologies employed to enable an
enterprise to acquire, create, share, and make actionable the
knowledge needed to achieve mission objectives
Enabling
Technologies
and Processes

Influences
Leadership

CoPs
Best Practice
DBs

Strategy
Reward &
Recognition

KM Process
Framework
KM Enablers
Knowledge-Enabled Outcome States
State 0
Where
We Were
Ad Hoc Processes

State 1
Fostering
Knowledge
Development
Common KM
Understanding

Local Initiatives

State 2
Harvesting
the Benefits
KM Targets

Low Tool
Standardization
Collaboration
Valued

Ultimate
Vision
Embedded KM

Enterprise Processes
Center Pilots

Disparate Vi
Di
t Views of
f
Resources

State “V”

Knowledge Di
K
l d Discovery
Consolidated
Resource View
Greater Tool
Standardization
KnowledgeSharing

Known
Knowledge Value

Tool/Process
integration

Pervasive Infrastructure

Knowledge Creation
and Re-use Impact

Innovative Outcomes
Knowledge Management
Capability Maturity Model (KM CMM)
Level 5: Optimizing
• Business process alignment
• Process change management
g
g
Level 4: Managed
• Integrated knowledge processes
• Quantitative process management
p
g
Where
we are
going
‘01

Level 3: Defined
• Organizational processes • Knowledge mapping
• Intergroup coordination • Training program

Level 2: Repeatable
• Program planning
• Requirements process
Level 1: Initial
• Adhoc processes
• Partial technical infrastructure
Level 0:Not Practiced
• Failure to perform KM
• Culture counter to learning, sharing

• Content QA process
• KFP identification

Where
we are
‘00

Where we
want to
be
Stages of KM Implementation

Develop interest and
enthusiasm
No formal business
case; belief in the
value
Define KM in terms
people understand
Capitalize on intranet
Understand
organizational
readiness

Pilot Path

Select pilots or
identify grass
root efforts
Business
objectives are
specific to pilots
Form a crossfunctional KM
u ct o a
task force

Support pilots
Business case is
potential gain
from pilots
Share pilot
lessons learned
Develop
methodologies
that can be
replicated
Strategic
Pilots
Opportunistic
Pilots

Scale up; build
capability
Business case
and measures
become more
formal
KM coordination
team
Identify roles and
resources for the
KM function
Establish awards
and recognition
Improve

Decision

Expand
g g
Disengage

KM embedded in
business model
Organizational
alignment
Project work with
activity and
knowledge base
support
Standards

Way of
doing
business
Process
Expertise &
Knowledge
Discovery
Knowledge
Requirement
Customer(s)

Knowledge
Delivery

KNOWLEDGE
INFORMATION
INFRASTRUCTURE
(KII)

Knowledge Team
Formation

Knowledge
Creation
ToR KM
TERMS OF REFERENCE
FOR
KNOWLEDGE MANAGEMENT
BACKGROUND
• For any company knowledge is core of all its activities.
A knowledge management system is to identify,
create, represent, di t ib t and enable adoption
t
t distribute d
bl d ti
‘what it knows’ and ‘how it knows it’.
• Proper system for knowledge management is essential
to avoid re-inventing the wheel and to go forward to
higher levels from the existing levels in a quick and
efficient way
way.
• Presently, the knowledge management is in formative
stages. It will be better if a proper system of
g
p p
y
knowledge management is thought about and
implemented as early as possible in order to meet the
immediate target of changing the pattern of work –
to go to more of R&D from certification.
OBJECTIVES
• To establish and implement a system of
knowledge management in the shortest
possible time – by the year 2010 a basic
system and by year 2012 an advanced
working system
system.

12
SCOPE
1.

To identify fields where the knowledge management system
should be established and their priorities.

2. In each field, identify implicit (tacit) and explicit (codified)
knowledge areas and generate appropriate methodology for
capturing them.
(Implicit or tacit knowledge is often subconscious, internalized, and
the individual may or may not be aware of what he or she knows and
y
y
how he or she accomplishes particular results.
At the opposite end of the spectrum is explicit or codified knowledge
which is often a k
h h
f
knowledge that the individual h ld explicitly and
l d
h
h
d d l holds
l
l
d
consciously in mental focus and may communicate to others through
email, proposals, PPT, PDF, technical papers, reports, softwares, etc.
In the popular form of the distinction, implicit knowledge is what is in
our heads, and explicit knowledge is what we have codified).
SCOPE

(Contd..)

3. To train the personnel in knowledge sharing and knowledge
management and generate an atmosphere of openness to take
up the activity of knowledge management.
4. Generate suitable formats for documentation – this may be
different for different areas and fields and finalize them
fields,
after periodic review and discussions.
5.
5 Establish a system for multi disciplinary activities
multi-disciplinary activities.
6. Generate a suitable system of consolidation, storage and
retrieval – using b h h d
i
l
i
both hardware/software expertise,
/ f
i
consultancy, etc. for different areas and fields.
7. Create an appropriate search engine for storage and
retrieval.
SCOPE

(Contd..)

8. G
Generate a suitable and appropriate control strategy f
bl
d
l
for
access of this information to various levels of personnel.
9. Benchmarking of knowledge management in R&D Companies.
10. Establish a mechanism for operating the ‘Knowledge
Knowledge
Management System’ : defining stakeholders, roles,
responsibilities.
11. Making of resource, financial and quality plans.
12.
12 Finalizing work break down structure and schedules
break-down
schedules.
13. Establish a system of periodic review against time targets
and corrective measures and updating of th system.
d
ti
d d ti
f the
t
CURRENTLY IDENTIFIED AREAS
Library Knowledge
Centre

corporate
p
Memory

Search
engine

Bench
Marking

Academy A d
Education

Quality
Management

IT
Management

ARAI
KM

HR &
Performance
Management

Project
P j t
Management &
Lessions
Learnt

Seminar &
Conferences

Asset
Management
R&D and
Technology

Legal &
Intellectual
Property

Certification &
Services
ACTIONS REQUIRED
HOW TO GO ABOUT
AND
WISH LIST
FOR
KNOWLEDGE MANAGEMENT
Knowledge Identifiction
KNOW-HOW

SKILLS

Explicit knowledge
Formalized and Specialized

Tacit knowledge
Acquired with practice
Adaptable
Explicitable or non-explicitable

Data, procedures, models, algorithms,
documents of analysis & synthesis, drawings..

People s
People’s abilities, professional knack,
private knowledge..

Heterogeneous, incomplete or redundant,
Often marked by circumstances of it’s creation
Does not express “unspoken words”
D
t
“
k
d ”
Disseminated

Often transmitted orally and tacitly
according to a Master- to- Apprentice
behaviour
b h i
Located

All stored in archives, cabinets, software systems and individual’s mind.
ll
d
h
f
d d d l
d

Characterizes a company capability to design, produce, sell & support its product and/or services.

Representative of the company experience and culture.
Knowledge Conversion
T
…..To

Tacit Knowledge

Explicit Knowledge

Socialization

Externalization

Internalization

Combination

…..From
Tacit Knowledge

Explicit Knowledge
Explicit Knowledge
Conduct Competency Mapping
(Example Engine Testing)
Instrumentatio
n Knowledge

10

Knowledge of
Emission
Parameters

4
Test Report
/Calculation

6

8

4

Engine
Knowledge

8

0
4
5

Engine
Installation

5

Test Analysis

Engine Testing
Knowledge of
Test Standards
Conduct Competency Mapping
(
(Example Engine Design)
p
g
g )
Prepare Technology Road Map
(Example Eng n D
(E amp Engine Development Lab)
opm nt La )
• Engine
upgradation by
system design

• Engine design
from concept

Port fl
• P t flow
simulation
LPG/CNG E3

Fuel
Cells

CNG E4
• Manifold
Injection

• TBI

HCNG
• Lean burn
• Sequential Injection

Hydrogen E5
• Lean burn

HCCI Co bust o
CC Combustion

E 4 - 50 kW / l

• Rotary FIE 700
bar
• TCIC
E 2 Dev

Performance
Simulation

2000

• EDC 1100 bar
E 3 Dev

Hydraulic
Simulation

2002

CFD

E 4 Dev

Vehicle cycle
simulation

2004

2006

E 5 - 75 kW / l

C S 600 bar
• 4V CRS 1600 ba
• VNT, Cooled
EGR, DOC, DPF
• BMEP 16 bar

Combustion
simulation

2008

• CRS 1800 /2000
bar
• Cooled
EGR, DPF
• DeNOx
• Variable swirl

Chemical
kinetics

2010

2012

2014
KM Architecture
User Interface

Knowledge Applications
Knowledge 
Application 
Application
Architecture

Knowledge Map
Search Engines

Storage
g

Enterprise
Infrastructure

Platform/Network Services
Pl tf
/N t
kS
i
Decide Knowledge Discovery Tools
Sources

Disseminate/
Retrieve
(TIDES,
QANDA)

Summarize
(WebSumm)
Extract
(Alembic)

Collect

Finance

Energy

Trans.

Telecomm

Z-Ave

Translate
(CyberTrans)

Monitor
(SIAM)

Collaborate
(KEAN, Scout, ExpertFinde
r, XperNET)

Browse/Visualize
(GeoNODE)

Cluster/Mine
(QueryFlocks)
Detect, Translate, Extract, Summarize
Today is a significant day in the history of our national
liberation struggle, it marks the end of a year during
which we have resisted and fought against the biggest
ever offensive operation launched by the Sri Lankan
armed forces code named "Jayasikuru”...
•Liberation Tigers of Tamil Eelam (LTTE)
•Sri Lanka
•Velupillai Pirapaharan
•Rebellion

Org
Sinhala
LTTE

Tamil document

Leader
HQ
Kumaratunga
Pirapaharan Wanni

Losses
3000
1300

The objective of the Sinhala chauvinists was to
utilize maximum man power and fire power to
destroy the military capability of the LTTE and to
bring an end to the Tamil freedom movement.
g
Before the launching of the operation "Jayasikuru"
the Sri Lankan political and military high
command miscalculated the military strength and
determination of the LTTE.
Vision: Ask Questions, Get Answers
Question: What type of coating on
the piston skirt should be used?

Multilingual,
Multimedia,
M lti di
Multiparty
Resources

Answer: KS uses LofriKS and NanofriKS
coatings on the skirt. Both uses PAI
(Polyamideimide) with graphite fillers. In
NanofriKS, TiO2 & ZnS nanoparticles are used.

Today
Documents, Not
answers

Tomorrow

Answers &
Drill down
Search Engine Indexing/Keywords
(
(Example)
p )
Engine System / Part Name

Cylinder Block
Cylinder Head
Gaskets
G k t
Piston Assembly
Con Rod Assembly
Crankshaft
Flywheel
Balancer Shaft & TV Damper
Bearings & Bushes
Valve Train
Timing Gear
Engine Mounts
Cooling System
Lubricating System
g y
m
Fuel Injection System
Turbocharger
EGR
Alternator
Starter
Exhaust System
After Treatment Devices
Expert Discovery
• Find global Experts
– quick
q
– accurate
p
– comprehensive

• Challenge: Overcome limitations of manually
managed skills/expertise databases
(e.g. Dataware - experts self nominate)
– incomplete
– expensive
– out of date
Expertise Management Architecture
Resources

Services

E-dB

Finder
Selection
Service
Broker

MII

Q
Qualification
Registration
Q
Q&A

WWW
Finder
Agencies
Consulting
Groups
Expert Finder (Example)
User
Issues
Simple
Query
Employees
Ranked by
Mentions

Goal: Place a user within one
phone ll f n xp t
ph n call of an expert

Integrated
Employee
E l
Database

Results of Expert Finder Query: HR Expert
•N.V.Marathe, Dy Director
•Dr. M.V. Uchgaonkar, Asst. Director
•Y.K.Upadhyay, Manager

Name: Uchgaonkar M.V. Dr.

Phone: 30231210
Email: uchgaonkar.pah@araiindia.com
Dept: PAH
ID.No.:
ID N

Uchgaonkar M.V. Dr.

Mentions of
Employee in
Corporate
Communications

“Dealing with Performance” by Dr. Mohan V.
Uchgaonkar, AD – PAH, The Indian Express
(Pune Edition), 04 Dec 2008.

Relevant Employee
Publications

Enterprise Employee
Project Database
Evaluation
• Compare performance of ExpertFinder with
(20) expert human resource managers
• Task: Find top 5 corporate experts in a given
domain
• Measures
– Agreement among humans
– Agreement of machine with human(s)
• Precision
•R
Recall
ll

• Chance: # experts/450 employees = often
less than 1%
1%.
The ExpertFinder Questionnaire
I am performing an experiment. Your participation will remain anonymous
if you so desire and should only take a few short minutes. Please answer
the following questions (preferably without any assistance, but if you use
assistance indicate what kind you used):

1. Who are the top 5 "data mining" experts at ARAI
(List them in rank order, most expert first.
List as many as you can but no more than 5)?
2. the top 5 “marketing" experts?
3. the top 5 “design" experts?
4. the top 5 “development" experts?
5. the top 5 “testing" experts?
6. the top 5 “Report/Paper writing" experts?
p
p
p
g
p
7. the top 5 “review" experts?
8. What is your department’s top area of expertise (in a few
words) and who do you consider to be the top 5 people in the
company in your area of expertise?
Cooperative Searching
Hypothesis
Group (coordinated) searching can be more effective
p(
)
g
than multiple (independent) searchers working
autonomously
Collaborative Virtual Workplace
Lessons Learned
• People, and the cultures that influence their behaviors, are the
single most critical resource for successful knowledge creation,
dissemination, and application.

Understand and influence them.

• Cognitive, social, and organizational learning processes are
essential to the success of a knowledge management strategy
strategy.

Lets focus our strategy on enhancing these processes.

• Measurement, benchmarking, and incentives are essential to
accelerate the learning process and to drive cultural change.
l
h l
i
d
d i
l
l h

Lets create

a tailored balanced scorecard to target
what y want to improve.
you
p

• Knowledge management programs can yield impressive benefits to
individuals and organizations if they are purposeful, concrete and
action-oriented.

Lets make

ours so.
Some Grand Challenges
• User, Group and Organization Modeling,
including knowledge, beliefs, goals and plans
• Universal knowledge access independent of
user physical, perceptual and cultural
characteristics
h
t i ti
• Organizational strategies for knowledge
sharing
sh in
• Knowledge strategies in global, multicultural
enterprises
• Security & Access.
Words of “Wisdom”

• In times of profound change
change,
learners inherit the Earth, while
the learned find themselves
beautifully equipped to deal with
a world that no longer exists.
REFERENCES
• Strategy
Peter Senge
“Learning Organizations”

• Process
Takeuchi and Nonaka
“Organizational Knowledge
Creation”

• Benchmarking
Norton and Kaplan
“Balanced Scorecard”

THANK YOU.

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Knowledge management

  • 1. KNOWLEDGE MANAGEMENT Lecture Series KNOWLEDGE MANAGEMENT VRDE, Ahmednagar Dr K C Vora
  • 2. Why KM? Change is Accelerating 18 16 14 12 10 8 6 4 2 0 0 6 12 18 24 30 36 Optical p Network Speed doubles every 8 months Storage capacity doubles every 12 months Computing power doubles every 18 months dot COM storage requirements double every 90 days
  • 3. What is KM? An Enterprise Perspective The strategies, processes, and technologies employed to enable an enterprise to acquire, create, share, and make actionable the knowledge needed to achieve mission objectives Enabling Technologies and Processes Influences Leadership CoPs Best Practice DBs Strategy Reward & Recognition KM Process
  • 6. Knowledge-Enabled Outcome States State 0 Where We Were Ad Hoc Processes State 1 Fostering Knowledge Development Common KM Understanding Local Initiatives State 2 Harvesting the Benefits KM Targets Low Tool Standardization Collaboration Valued Ultimate Vision Embedded KM Enterprise Processes Center Pilots Disparate Vi Di t Views of f Resources State “V” Knowledge Di K l d Discovery Consolidated Resource View Greater Tool Standardization KnowledgeSharing Known Knowledge Value Tool/Process integration Pervasive Infrastructure Knowledge Creation and Re-use Impact Innovative Outcomes
  • 7. Knowledge Management Capability Maturity Model (KM CMM) Level 5: Optimizing • Business process alignment • Process change management g g Level 4: Managed • Integrated knowledge processes • Quantitative process management p g Where we are going ‘01 Level 3: Defined • Organizational processes • Knowledge mapping • Intergroup coordination • Training program Level 2: Repeatable • Program planning • Requirements process Level 1: Initial • Adhoc processes • Partial technical infrastructure Level 0:Not Practiced • Failure to perform KM • Culture counter to learning, sharing • Content QA process • KFP identification Where we are ‘00 Where we want to be
  • 8. Stages of KM Implementation Develop interest and enthusiasm No formal business case; belief in the value Define KM in terms people understand Capitalize on intranet Understand organizational readiness Pilot Path Select pilots or identify grass root efforts Business objectives are specific to pilots Form a crossfunctional KM u ct o a task force Support pilots Business case is potential gain from pilots Share pilot lessons learned Develop methodologies that can be replicated Strategic Pilots Opportunistic Pilots Scale up; build capability Business case and measures become more formal KM coordination team Identify roles and resources for the KM function Establish awards and recognition Improve Decision Expand g g Disengage KM embedded in business model Organizational alignment Project work with activity and knowledge base support Standards Way of doing business
  • 10. ToR KM TERMS OF REFERENCE FOR KNOWLEDGE MANAGEMENT
  • 11. BACKGROUND • For any company knowledge is core of all its activities. A knowledge management system is to identify, create, represent, di t ib t and enable adoption t t distribute d bl d ti ‘what it knows’ and ‘how it knows it’. • Proper system for knowledge management is essential to avoid re-inventing the wheel and to go forward to higher levels from the existing levels in a quick and efficient way way. • Presently, the knowledge management is in formative stages. It will be better if a proper system of g p p y knowledge management is thought about and implemented as early as possible in order to meet the immediate target of changing the pattern of work – to go to more of R&D from certification.
  • 12. OBJECTIVES • To establish and implement a system of knowledge management in the shortest possible time – by the year 2010 a basic system and by year 2012 an advanced working system system. 12
  • 13. SCOPE 1. To identify fields where the knowledge management system should be established and their priorities. 2. In each field, identify implicit (tacit) and explicit (codified) knowledge areas and generate appropriate methodology for capturing them. (Implicit or tacit knowledge is often subconscious, internalized, and the individual may or may not be aware of what he or she knows and y y how he or she accomplishes particular results. At the opposite end of the spectrum is explicit or codified knowledge which is often a k h h f knowledge that the individual h ld explicitly and l d h h d d l holds l l d consciously in mental focus and may communicate to others through email, proposals, PPT, PDF, technical papers, reports, softwares, etc. In the popular form of the distinction, implicit knowledge is what is in our heads, and explicit knowledge is what we have codified).
  • 14. SCOPE (Contd..) 3. To train the personnel in knowledge sharing and knowledge management and generate an atmosphere of openness to take up the activity of knowledge management. 4. Generate suitable formats for documentation – this may be different for different areas and fields and finalize them fields, after periodic review and discussions. 5. 5 Establish a system for multi disciplinary activities multi-disciplinary activities. 6. Generate a suitable system of consolidation, storage and retrieval – using b h h d i l i both hardware/software expertise, / f i consultancy, etc. for different areas and fields. 7. Create an appropriate search engine for storage and retrieval.
  • 15. SCOPE (Contd..) 8. G Generate a suitable and appropriate control strategy f bl d l for access of this information to various levels of personnel. 9. Benchmarking of knowledge management in R&D Companies. 10. Establish a mechanism for operating the ‘Knowledge Knowledge Management System’ : defining stakeholders, roles, responsibilities. 11. Making of resource, financial and quality plans. 12. 12 Finalizing work break down structure and schedules break-down schedules. 13. Establish a system of periodic review against time targets and corrective measures and updating of th system. d ti d d ti f the t
  • 16. CURRENTLY IDENTIFIED AREAS Library Knowledge Centre corporate p Memory Search engine Bench Marking Academy A d Education Quality Management IT Management ARAI KM HR & Performance Management Project P j t Management & Lessions Learnt Seminar & Conferences Asset Management R&D and Technology Legal & Intellectual Property Certification & Services
  • 17. ACTIONS REQUIRED HOW TO GO ABOUT AND WISH LIST FOR KNOWLEDGE MANAGEMENT
  • 18. Knowledge Identifiction KNOW-HOW SKILLS Explicit knowledge Formalized and Specialized Tacit knowledge Acquired with practice Adaptable Explicitable or non-explicitable Data, procedures, models, algorithms, documents of analysis & synthesis, drawings.. People s People’s abilities, professional knack, private knowledge.. Heterogeneous, incomplete or redundant, Often marked by circumstances of it’s creation Does not express “unspoken words” D t “ k d ” Disseminated Often transmitted orally and tacitly according to a Master- to- Apprentice behaviour b h i Located All stored in archives, cabinets, software systems and individual’s mind. ll d h f d d d l d Characterizes a company capability to design, produce, sell & support its product and/or services. Representative of the company experience and culture.
  • 19. Knowledge Conversion T …..To Tacit Knowledge Explicit Knowledge Socialization Externalization Internalization Combination …..From Tacit Knowledge Explicit Knowledge Explicit Knowledge
  • 20. Conduct Competency Mapping (Example Engine Testing) Instrumentatio n Knowledge 10 Knowledge of Emission Parameters 4 Test Report /Calculation 6 8 4 Engine Knowledge 8 0 4 5 Engine Installation 5 Test Analysis Engine Testing Knowledge of Test Standards
  • 21. Conduct Competency Mapping ( (Example Engine Design) p g g )
  • 22. Prepare Technology Road Map (Example Eng n D (E amp Engine Development Lab) opm nt La ) • Engine upgradation by system design • Engine design from concept Port fl • P t flow simulation LPG/CNG E3 Fuel Cells CNG E4 • Manifold Injection • TBI HCNG • Lean burn • Sequential Injection Hydrogen E5 • Lean burn HCCI Co bust o CC Combustion E 4 - 50 kW / l • Rotary FIE 700 bar • TCIC E 2 Dev Performance Simulation 2000 • EDC 1100 bar E 3 Dev Hydraulic Simulation 2002 CFD E 4 Dev Vehicle cycle simulation 2004 2006 E 5 - 75 kW / l C S 600 bar • 4V CRS 1600 ba • VNT, Cooled EGR, DOC, DPF • BMEP 16 bar Combustion simulation 2008 • CRS 1800 /2000 bar • Cooled EGR, DPF • DeNOx • Variable swirl Chemical kinetics 2010 2012 2014
  • 23. KM Architecture User Interface Knowledge Applications Knowledge  Application  Application Architecture Knowledge Map Search Engines Storage g Enterprise Infrastructure Platform/Network Services Pl tf /N t kS i
  • 24. Decide Knowledge Discovery Tools Sources Disseminate/ Retrieve (TIDES, QANDA) Summarize (WebSumm) Extract (Alembic) Collect Finance Energy Trans. Telecomm Z-Ave Translate (CyberTrans) Monitor (SIAM) Collaborate (KEAN, Scout, ExpertFinde r, XperNET) Browse/Visualize (GeoNODE) Cluster/Mine (QueryFlocks)
  • 25. Detect, Translate, Extract, Summarize Today is a significant day in the history of our national liberation struggle, it marks the end of a year during which we have resisted and fought against the biggest ever offensive operation launched by the Sri Lankan armed forces code named "Jayasikuru”... •Liberation Tigers of Tamil Eelam (LTTE) •Sri Lanka •Velupillai Pirapaharan •Rebellion Org Sinhala LTTE Tamil document Leader HQ Kumaratunga Pirapaharan Wanni Losses 3000 1300 The objective of the Sinhala chauvinists was to utilize maximum man power and fire power to destroy the military capability of the LTTE and to bring an end to the Tamil freedom movement. g Before the launching of the operation "Jayasikuru" the Sri Lankan political and military high command miscalculated the military strength and determination of the LTTE.
  • 26. Vision: Ask Questions, Get Answers Question: What type of coating on the piston skirt should be used? Multilingual, Multimedia, M lti di Multiparty Resources Answer: KS uses LofriKS and NanofriKS coatings on the skirt. Both uses PAI (Polyamideimide) with graphite fillers. In NanofriKS, TiO2 & ZnS nanoparticles are used. Today Documents, Not answers Tomorrow Answers & Drill down
  • 27. Search Engine Indexing/Keywords ( (Example) p ) Engine System / Part Name Cylinder Block Cylinder Head Gaskets G k t Piston Assembly Con Rod Assembly Crankshaft Flywheel Balancer Shaft & TV Damper Bearings & Bushes Valve Train Timing Gear Engine Mounts Cooling System Lubricating System g y m Fuel Injection System Turbocharger EGR Alternator Starter Exhaust System After Treatment Devices
  • 28. Expert Discovery • Find global Experts – quick q – accurate p – comprehensive • Challenge: Overcome limitations of manually managed skills/expertise databases (e.g. Dataware - experts self nominate) – incomplete – expensive – out of date
  • 30. Expert Finder (Example) User Issues Simple Query Employees Ranked by Mentions Goal: Place a user within one phone ll f n xp t ph n call of an expert Integrated Employee E l Database Results of Expert Finder Query: HR Expert •N.V.Marathe, Dy Director •Dr. M.V. Uchgaonkar, Asst. Director •Y.K.Upadhyay, Manager Name: Uchgaonkar M.V. Dr. Phone: 30231210 Email: uchgaonkar.pah@araiindia.com Dept: PAH ID.No.: ID N Uchgaonkar M.V. Dr. Mentions of Employee in Corporate Communications “Dealing with Performance” by Dr. Mohan V. Uchgaonkar, AD – PAH, The Indian Express (Pune Edition), 04 Dec 2008. Relevant Employee Publications Enterprise Employee Project Database
  • 31. Evaluation • Compare performance of ExpertFinder with (20) expert human resource managers • Task: Find top 5 corporate experts in a given domain • Measures – Agreement among humans – Agreement of machine with human(s) • Precision •R Recall ll • Chance: # experts/450 employees = often less than 1% 1%.
  • 32. The ExpertFinder Questionnaire I am performing an experiment. Your participation will remain anonymous if you so desire and should only take a few short minutes. Please answer the following questions (preferably without any assistance, but if you use assistance indicate what kind you used): 1. Who are the top 5 "data mining" experts at ARAI (List them in rank order, most expert first. List as many as you can but no more than 5)? 2. the top 5 “marketing" experts? 3. the top 5 “design" experts? 4. the top 5 “development" experts? 5. the top 5 “testing" experts? 6. the top 5 “Report/Paper writing" experts? p p p g p 7. the top 5 “review" experts? 8. What is your department’s top area of expertise (in a few words) and who do you consider to be the top 5 people in the company in your area of expertise?
  • 33. Cooperative Searching Hypothesis Group (coordinated) searching can be more effective p( ) g than multiple (independent) searchers working autonomously
  • 35. Lessons Learned • People, and the cultures that influence their behaviors, are the single most critical resource for successful knowledge creation, dissemination, and application. Understand and influence them. • Cognitive, social, and organizational learning processes are essential to the success of a knowledge management strategy strategy. Lets focus our strategy on enhancing these processes. • Measurement, benchmarking, and incentives are essential to accelerate the learning process and to drive cultural change. l h l i d d i l l h Lets create a tailored balanced scorecard to target what y want to improve. you p • Knowledge management programs can yield impressive benefits to individuals and organizations if they are purposeful, concrete and action-oriented. Lets make ours so.
  • 36. Some Grand Challenges • User, Group and Organization Modeling, including knowledge, beliefs, goals and plans • Universal knowledge access independent of user physical, perceptual and cultural characteristics h t i ti • Organizational strategies for knowledge sharing sh in • Knowledge strategies in global, multicultural enterprises • Security & Access.
  • 37. Words of “Wisdom” • In times of profound change change, learners inherit the Earth, while the learned find themselves beautifully equipped to deal with a world that no longer exists.
  • 38. REFERENCES • Strategy Peter Senge “Learning Organizations” • Process Takeuchi and Nonaka “Organizational Knowledge Creation” • Benchmarking Norton and Kaplan “Balanced Scorecard” THANK YOU.