Technologies For Knowledge Management - BRINT
Technologies for KnowledgeManagementWK-7 Copyright 2002, Yogesh Malhotra, www.yogeshmalhotra.com, All Rights Reserved
Technologies for Knowledge (D&P) KM is much more than technology “Techknowledgy” is part of KM Availability of WWW and Lotus Notes‘Since knowledge and the value of harnessingit have always been with us, it must be theavailability of these new technologies thathas stoked the knowledge fire.’ ? Copyright 2002, Yogesh Malhotra, www.yogeshmalhotra.com, All Rights Reserved
HP and Knowledge Management Lotus Notes and WWW, common tools * Electronic Sales Partner system Metaknowledge, searching, browsing, access,archival and navigation Connex – Yellow Pages of experts– Human side and technical side * Trainer’s Trading Post – Notes – Reseller Info Common Set of Tools and Technologies– Word Processor, Presentation and Spreadsheets– DBMS, Search Engines, Communications Networks Copyright 2002, Yogesh Malhotra, www.yogeshmalhotra.com, All Rights Reserved
Technology’s Most Important Role in KM Extending the reach and range Enhancing the speed of K transfer ? Extraction, Structuring, Codification,Generation ? Wide variety of technologies Combine with human-oriented KMapproaches – dynamic K environments Copyright 2002, Yogesh Malhotra, www.yogeshmalhotra.com, All Rights Reserved
Nonaka and Takeuchi (1995)Tacit to Tacit – Socialization - P2PTacit to Explicit – Externalization – P2TExplicit to Explicit – Combination – T2TExplicit to Tacit – Internalization – ationExplicitExternalizationCombination Copyright 2002, Yogesh Malhotra, www.yogeshmalhotra.com, All Rights Reserved
Knowledge Generation and Codification Knowledge generationKnowledge codificationKnowledge transfer - spiralsTools– Data management tools- data warehouses, data searchengines, data modeling, visualization– Information management tools - automated informationsearch and retrieval agents, decision supporttechnologies, executive information systems, documentmanagement technologies– Knowledge management Copyright 2002, Yogesh Malhotra, www.yogeshmalhotra.com, All Rights Reserved
Humans Using Search Tools– Search engines that allow for entry of new, relevantinformation into the system: www.verity.com www.agentware.com www.fulcrum.com www.grapevine.com www.broadvision.com www.information.com www.datamindcorp.com www.ideafisher.com www.mindman.comExamples of tools generally considered part of KM. Downloaded from a Google search. Copyright 2002, Yogesh Malhotra, www.yogeshmalhotra.com, All Rights Reserved
Humans Using IT For Knowledge Codification– Put knowledge in form that makes it accessible to thosewho need it www.excalibur.com www.documentum.com www.filenet.com www.thebrain.com www.inxight.com www.thinkingtools.comExamples of tools generally considered part of KM. Downloaded from a Google search. Copyright 2002, Yogesh Malhotra, www.yogeshmalhotra.com, All Rights Reserved
Humans in Knowledge Dissemination, Transfer– Accelerate the spirals ization Application - understanding - application - understanding Motors for change– Transmission and absorption Groupware– Wholistic applications kanisa.comExamples of tools generally considered part of KM. Downloaded from a Google search. Copyright 2002, Yogesh Malhotra, www.yogeshmalhotra.com, All Rights Reserved
Expert Systems and AI IT to capture and manipulate K ? I? Overly high expectations and over hype Expert Systems – current status – paper Limitations of AI and Expert Systems Benefits of AI and Expert Systems ? Copyright 2002, Yogesh Malhotra, www.yogeshmalhotra.com, All Rights Reserved
KM for WhitewatersDimensions of KM PerformanceIncreasing ReturnsLo StructureFromHi Structureto LoStructureHi StructureStable‘White Waters’FromStable to ‘White Waters’(Speed, Range)FromRoutine to Non-RoutineNon-Routine Copyright 2002, Yogesh Malhotra, www.yogeshmalhotra.com, All Rights Reserved
AI, Expert Systems and CBR McDonnell Douglas – Landing Planes CBR – Customer Service Database Rule Based Systems and Qualitative Text Analysis Based SystemsRole of technology vs. role of peopleVideoconferencing, telephone, PCs (?)Data Management vs. K ManagementHow about C Management? Copyright 2002, Yogesh Malhotra, www.yogeshmalhotra.com, All Rights Reserved
State of K Technologies“The concept of KM technologies is not only broadbut also a bit slippery to define” K Repositories, Intranets, Portals ?Human brokers and Artificial brokersWWW and Lotus Notes – Beyond ?AA KnowledgeExchange – Future?Hoover et al., WebLuis, GrapeVINE ?K, Meta-K, XML, DAML, Beyond?On-line thesaurus – how about misspellings? Copyright 2002, Yogesh Malhotra, www.yogeshmalhotra.com, All Rights Reserved
Knowledge Technologies Enabled by Humans “While technologies designed formanaging data are structured, typicallynumerically oriented, and address largevolumes of observations, knowledgetechnologies deal most frequently with textrather than numbers, and text in relativelyunstructured forms, such as clauses,sentences, paragraphs, and even stories.” Copyright 2002, Yogesh Malhotra, www.yogeshmalhotra.com, All Rights Reserved
Broad Knowledge Repositories Repositories of structured, explicitknowledge– ABIInform, Lexis/Nexis, Dialog, ?– Internet (engines, crawlers, ferrets, bots) Challenge: Quantity and Quality– Intelligent brokers – Humans and Bots Lotus Notes and Web Publishing– Challenges ? Copyright 2002, Yogesh Malhotra, www.yogeshmalhotra.com, All Rights Reserved
Challenges of Lotus Notes (DP) Haphazard “knowledge architectures” Andersen Knowledge Xchange– Technology issues– People issues Difficult to Navigate and Search Integration of Diverse Sources Missing Supplemented by additional tools– Hoovers, GrapeVINE, NewsPage,OneSource, other databases Copyright 2002, Yogesh Malhotra, www.yogeshmalhotra.com, All Rights Reserved
Other Technological Aspects Knowledge Maps and Knowledge Charts Online Thesauri and Embedded Links Expert Locators, Yellow Pages, Profiling Expert Systems – Challenges ? Constraint Based Systems Case Based Reasoning (Inference – eGain) Copyright 2002, Yogesh Malhotra, www.yogeshmalhotra.com, All Rights Reserved
10-Step / 4-PhasePhase 2 and Step3Design theKnowledge ManagementInfrastructureKMT-7 Copyright 2002, Yogesh Malhotra, www.yogeshmalhotra.com, All Rights Reserved
Infrastructure Foundations IT serves two primary functions– Storage and retrieval– Communications Network – transfer and collaboration Selecting Technology– Find K, Create new K, Package and AssembleK, Apply K, Reuse and revalidate K Copyright 2002, Yogesh Malhotra, www.yogeshmalhotra.com, All Rights Reserved
MUST SEE CHECK THIS OUT!!! Copyright 2002, Yogesh Malhotra, www.yogeshmalhotra.com, All Rights Reserved
MUST SEE CHECK THIS OUT!!! Copyright 2002, Yogesh Malhotra, www.yogeshmalhotra.com, All Rights Reserved
Copyright 2002, Yogesh Malhotra, www.yogeshmalhotra.com, All Rights Reserved
What Technologies Cannot Do Neural Nets, Genetic Algorithms (?) Beyond Black Boxes – Street and elsewhere Data Mining and ‘knowledge discovery’ What Technologies Cannot Do ?– Human, Cultural, Social, Behavioral issues– ‘Dynamic discontinuous change’ issues– Gaps Between Data and Knowledge ? K-Use, K-Creation and K-Renewal ? Copyright 2002, Yogesh Malhotra, www.yogeshmalhotra.com, All Rights Reserved
Copyright 2002, Yogesh Malhotra, www.yogeshmalhotra.com, All Rights Reserved
Differences of KM from Other Systems? Between KM System and Data Warehouse KM System and Extranets / Intranets KM Systems and Groupware Copyright 2002, Yogesh Malhotra, www.yogeshmalhotra.com, All Rights Reserved
Copyright 2002, Yogesh Malhotra, www.yogeshmalhotra.com, All Rights Reserved
Copyright 2002, Yogesh Malhotra, www.yogeshmalhotra.com, All Rights Reserved
Nonaka and Takeuchi (1995)Tacit to Tacit – Socialization - P2PTacit to Explicit – Externalization – P2TExplicit to Explicit – Combination – T2TExplicit to Tacit – Internalization – ationExplicitExternalizationCombination Copyright 2002, Yogesh Malhotra, www.yogeshmalhotra.com, All Rights Reserved
Copyright 2002, Yogesh Malhotra, www.yogeshmalhotra.com, All Rights Reserved
Copyright 2002, Yogesh Malhotra, www.yogeshmalhotra.com, All Rights Reserved
Copyright 2002, Yogesh Malhotra, www.yogeshmalhotra.com, All Rights Reserved
Copyright 2002, Yogesh Malhotra, www.yogeshmalhotra.com, All Rights Reserved
Copyright 2002, Yogesh Malhotra, www.yogeshmalhotra.com, All Rights Reserved
Copyright 2002, Yogesh Malhotra, www.yogeshmalhotra.com, All Rights Reserved
Copyright 2002, Yogesh Malhotra, www.yogeshmalhotra.com, All Rights Reserved
Copyright 2002, Yogesh Malhotra, www.yogeshmalhotra.com, All Rights Reserved
Copyright 2002, Yogesh Malhotra, www.yogeshmalhotra.com, All Rights Reserved
Copyright 2002, Yogesh Malhotra, www.yogeshmalhotra.com, All Rights Reserved
Copyright 2002, Yogesh Malhotra, www.yogeshmalhotra.com, All Rights Reserved
Copyright 2002, Yogesh Malhotra, www.yogeshmalhotra.com, All Rights Reserved
Copyright 2002, Yogesh Malhotra, www.yogeshmalhotra.com, All Rights Reserved
Copyright 2002, Yogesh Malhotra, www.yogeshmalhotra.com, All Rights Reserved
Copyright 2002, Yogesh Malhotra, www.yogeshmalhotra.com, All Rights Reserved
KM Technologies – Form 1 LANs, WANs, VPNs, VoIPBandwidth, ADSL, Cable, T1, DS3, OC3Remote Access to Network – SecureCRT, SecureFXIntranet, Extranet, Portals Video Conferencing, Data, Voice, Text, DSS, GDSS, CSCW, Electronic MeetingsMobile Computing, Wireless, PDAsSkills Database, Content, Quality, CurrencyDocument Management (HP)Project Management, Workflow Systems, Digital Asset Management, Knowledge Management Tools and TechnologiesE-Business and E-Commerce Technologies Copyright 2002, Yogesh Malhotra, www.yogeshmalhotra.com, All Rights Reserved
Knowledge and Technology Two dimensions of K ?– object or “thing”– Process– (Remember the wave and the particle) On learning and unlearning – role of T Of MIS, OIS, KWS and DSS – ‘old hat’ Lotus Notes vs. Web– Whither Notes? Hello Web! Copyright 2002, Yogesh Malhotra, www.yogeshmalhotra.com, All Rights Reserved
Collaborative Intelligence and Filtering Use what works – how do you know ‘Philosopher’s trap’ versus ‘foresight’ Customer Knowledge, MarketingKnowledge, Competitor Knowledge,Market Performance – Link with T Stuck in the old model of static product,service and market definitions ? Copyright 2002, Yogesh Malhotra, www.yogeshmalhotra.com, All Rights Reserved
Other Issues Expert Systems CBR, Genetic Algorithms, NeuralNetworks, Fuzzy Logic, etc. Evolving Search Technologies Of tags, metatags and XML Push versus Pull – with Personalization andcustomization spin Copyright 2002, Yogesh Malhotra, www.yogeshmalhotra.com, All Rights Reserved
Knowledge Generation and Codification Knowledge generation Knowledge codification Knowledge transfer - spirals Tools - Data management tools- data warehouses, data search engines, data modeling, visualization - Information management tools - automated information search and retrieval agents, decision support
Bruksanvisning för bilstereo . Bruksanvisning for bilstereo . Instrukcja obsługi samochodowego odtwarzacza stereo . Operating Instructions for Car Stereo . 610-104 . SV . Bruksanvisning i original
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