The Department of Veteran Affairs (VA) invited Taylor Paschal, Knowledge & Information Management Consultant at Enterprise Knowledge, to speak at a Knowledge Management Lunch and Learn hosted on June 12, 2024. All Office of Administration staff were invited to attend and received professional development credit for participating in the voluntary event.
The objectives of the Lunch and Learn presentation were to:
- Review what KM ‘is’ and ‘isn’t’
- Understand the value of KM and the benefits of engaging
- Define and reflect on your “what’s in it for me?”
- Share actionable ways you can participate in Knowledge - - Capture & Transfer
In EK CEO Zach Wahl's presentation from KMWorld Connect 2020, he discusses the importance of putting KM in terms of business value and ROI. The presentation details EK's Proprietary KM Maturity Benchmark, a process to understand your organization's current, and target state, and specific metrics regarding KM ROI and Business Value.
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.
Why your organisation's future demands a new kind of HR
How do you adopt an operating model of the future to upgrade the HR function’s strategy and management and help them achieve their goals of agility, customer centricity and operational efficiency?
This document discusses knowledge management (KM), including its objectives, definitions, origins, and key aspects. KM aims to capture both explicit and tacit knowledge within an organization to enable faster processes, quicker responses to customers, and innovation. It involves identifying, capturing, sharing, and evaluating a company's information assets. While technology plays a role, KM is primarily about mapping knowledge-related processes and exploiting knowledge databases. It emerged due to increased globalization, downsizing, and the rising importance of knowledge in business. The key is creating a knowledge-oriented culture and balancing people, processes, and technology.
This presentation from Joe Hilger, Founder and COO of Enterprise Knowledge was presented at the KM Showcase 2020 in Arlington, VA on March 5th. The presentation addresses why knowledge management is the foundation for successful artificial intelligence. Hilger provides reasoning and examples for why taxonomy, content strategy, governance, and KM leadership are foundational requirements for organization's pursuing recommender systems, chat bots, and much more. Lastly, he defines Knowledge Artificial Intelligence and provides a brief overview of knowledge graphs.
The idea on this presentation is largely drawn from the result of the research study commissioned by both the Financial Times and the Special Libraries Association (SLA) in 2013.
In order to apply the so called “modern leadership techniques”, it would be best to explore first and have a better understanding of the evolving value of information management in today’s society based on the facts that were the result of the study gathered by Financial Times and SLA.
Practical Knowledge Management: Assessing Where You Are, Where You Want to Be...Enterprise Knowledge
This document discusses practical knowledge management and outlines an agile process for assessing an organization's current knowledge management needs and developing a strategy. It begins by defining knowledge management and its business value. It then describes a benchmarking and iterative assessment process involving interviews, inspections, analysis and reporting to understand an organization's current and target states. Finally, it discusses best practices for developing a segmented strategy, change management and communication, and provides examples of successful knowledge management implementations.
KM Showcase: Conference View and Knowledge Management 2020 and BeyondEnterprise Knowledge
This presentation from Zach Wahl, Founder and CEO of Enterprise Knowledge and Chair of the KM Showcase was this year's opening keynote address at the conference. The presentation offers a definition of Knowledge Management and its value, and then details what Zach sees as the five major trends for KM in 2020 and beyond. The presentation explores the links between KM and Artificial Intelligence, leveraging KM technologies, and incorporating organizational design and change into KM efforts.
In EK CEO Zach Wahl's presentation from KMWorld Connect 2020, he discusses the importance of putting KM in terms of business value and ROI. The presentation details EK's Proprietary KM Maturity Benchmark, a process to understand your organization's current, and target state, and specific metrics regarding KM ROI and Business Value.
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.
Why your organisation's future demands a new kind of HR
How do you adopt an operating model of the future to upgrade the HR function’s strategy and management and help them achieve their goals of agility, customer centricity and operational efficiency?
This document discusses knowledge management (KM), including its objectives, definitions, origins, and key aspects. KM aims to capture both explicit and tacit knowledge within an organization to enable faster processes, quicker responses to customers, and innovation. It involves identifying, capturing, sharing, and evaluating a company's information assets. While technology plays a role, KM is primarily about mapping knowledge-related processes and exploiting knowledge databases. It emerged due to increased globalization, downsizing, and the rising importance of knowledge in business. The key is creating a knowledge-oriented culture and balancing people, processes, and technology.
This presentation from Joe Hilger, Founder and COO of Enterprise Knowledge was presented at the KM Showcase 2020 in Arlington, VA on March 5th. The presentation addresses why knowledge management is the foundation for successful artificial intelligence. Hilger provides reasoning and examples for why taxonomy, content strategy, governance, and KM leadership are foundational requirements for organization's pursuing recommender systems, chat bots, and much more. Lastly, he defines Knowledge Artificial Intelligence and provides a brief overview of knowledge graphs.
The idea on this presentation is largely drawn from the result of the research study commissioned by both the Financial Times and the Special Libraries Association (SLA) in 2013.
In order to apply the so called “modern leadership techniques”, it would be best to explore first and have a better understanding of the evolving value of information management in today’s society based on the facts that were the result of the study gathered by Financial Times and SLA.
Practical Knowledge Management: Assessing Where You Are, Where You Want to Be...Enterprise Knowledge
This document discusses practical knowledge management and outlines an agile process for assessing an organization's current knowledge management needs and developing a strategy. It begins by defining knowledge management and its business value. It then describes a benchmarking and iterative assessment process involving interviews, inspections, analysis and reporting to understand an organization's current and target states. Finally, it discusses best practices for developing a segmented strategy, change management and communication, and provides examples of successful knowledge management implementations.
KM Showcase: Conference View and Knowledge Management 2020 and BeyondEnterprise Knowledge
This presentation from Zach Wahl, Founder and CEO of Enterprise Knowledge and Chair of the KM Showcase was this year's opening keynote address at the conference. The presentation offers a definition of Knowledge Management and its value, and then details what Zach sees as the five major trends for KM in 2020 and beyond. The presentation explores the links between KM and Artificial Intelligence, leveraging KM technologies, and incorporating organizational design and change into KM efforts.
Lessons from the front line: Next generation knowledge management using socia...Velrada
Now more than ever, we are witnessing the dynamic and interconnected relationship between technology and human interaction impacting the KM space. This is being driven in part by consumer device proliferation and changing user expectations exhibited by the extraordinary rise in use of social networking platforms – with the opportunities and challenges that they bring. The way we are using the web in our personal lives and the effectiveness of this form of online engagement, coupled with a deeper understanding of how social methodologies can be integrated into the business world is forcing large, corporate organisations - which have traditionally been challenged in adopting new ways of working or processing and integrating information – to change their approach to KM, treating information and knowledge as an asset, and can be used to drive value creation through sustaining and improving competitive advantage, delivering insights and enhancing team and organisational productivity.
KM SHOWCASE 2020 - Keynote Address - Zach WahlKM Institute
The document summarizes a presentation on knowledge management trends for 2020 and beyond. It discusses how knowledge management involves people, processes, content, culture and technology. It also outlines trends for 2020 like the need for clear return on investment from KM efforts and improved understanding of knowledge ecosystems. The presentation describes how knowledge graphs and ontologies can power artificial intelligence and outlines a logical architecture for a KM system.
Five Strategies to Expand Succession Planning in the Public SectorCornerstone OnDemand
Talent management is evolving, and implementing innovative solutions for succession planning, mentoring, training, and recruiting are critical steps for reaching agency goals.
Join us for our webinar to learn how you can efficiently build tomorrow's public sector workforce.
This webinar will teach you:
• Strategies for recruiting millennials
• Different methods and a model for identifying high potential employees
• Strategies and processes to identify, capture, structure, value, and share your organization’s intellectual assets
• How to expand your succession planning strategies to mid-level positions
• How to implement Unified Talent Management Processes and systems
Creative, resourceful, and dynamic leader with entrepreneurial spirit. Specializes in triple bottom line solutions to transform brands and organizations towards sustainability in the digital age. Understands how to engage users in interactive technology. Self-starter adaptable to diverse and changing situations while pursuing long-term goals. Understands how results-oriented business processes achieve revenue, service, and corporate responsibility objectives. Quick learner skilled in planning, developing, presenting, analyzing, and managing. Experienced with diverse internal and external stakeholder needs in business, government, and non-profit sectors.
Dr. bibi al ajmi - quality and knowledge management what you have to do with itqualitysummit
This document discusses quality and knowledge management. It defines knowledge as a fluid mix of experience and information that provides a framework for evaluating new experiences. Knowledge management involves managing expertise for business advantage by gaining timely access to what others know and a willingness to share knowledge. It helps organizations faced with change and uncertainty by supporting technology transfer and knowledge sharing. For an organization to make tacit knowledge explicit requires a learning culture, articulation models, communication platforms, leadership support, and the will to share knowledge. The document lists various knowledge management tools and techniques and emphasizes that knowledge should be the focus of management.
This document provides an overview of knowledge management. It defines knowledge management and discusses its importance. It outlines the key types of knowledge as explicit, implicit, and tacit knowledge. It then describes the five step knowledge management process of identifying role models, finding experts, using technology, sharing the process organization-wide, and repeating. It also discusses various knowledge management tools and techniques including content management systems, data mining, predictive modeling, and black box modeling. The document aims to introduce students to the topic of knowledge management.
How to minimize time spent on searching information in your workplace2016
This workshop exposes participants to different ways of designing and utilising a taxonomy to enhance their job efficiency, as well as to impart key folder structure design principles for a usable, maintainable and effective taxonomy.
Participants can also learn the approach to taxonomy development that takes into account the needs of different stakeholders to ensure maximum adoption and the importance of taxonomy as a living system with the support of an active governance and evaluation process.
In the decades to come, open innovation will play a key role in developed economies revolutionising how organisations deliver value to their customers, shareholders and employees.
This focus on IDEATION will allow companies to become or remain innovative, increasing the chances for new products, customer acquisition and increased financial performance.
PRESTO’s idea crowdsourcing functionality allows your leadership team to ‘throw challenges’ to the crowd accelerating the idea generation process to align your staff’s problem solving skills with the executive corporate growth strategy
Artificial Intelligence & Business Application.pptxShamraoGhodake2
The document discusses various topics related to artificial intelligence and knowledge management including:
1) An overview of artificial intelligence and its applications in management such as supply chain optimization.
2) Key concepts in knowledge management such as knowledge creation, capture, sharing and application.
3) Frameworks for knowledge management such as Nonaka's SECI model and the Knowledge Management Maturity Model.
4) The knowledge management cycle and different approaches to knowledge management.
Role of hr in knowledeg management final hard copy 2003Tanuj Poddar
HR plays a pivotal role in knowledge management by aligning key HR processes like corporate education, performance management, and culture development to foster knowledge sharing. HR can help create a knowledge-sharing culture by developing mentoring systems, job rotations, and networked organizations to transfer knowledge between employees. HR processes like training, knowledge communities, and e-learning can also help disseminate knowledge across the organization when integrated with knowledge management strategies. When these HR practices encourage open knowledge sharing over knowledge hoarding, they can help leverage the collective knowledge of the entire organization.
Knowledge management (KM) refers to a multi-disciplinary approach to achieving organizational objectives by effectively utilizing knowledge. KM involves people management, process management, information management, and explicit and tacit forms of knowledge. The key components of a KM system include knowledge generation, identification, delivery, and storage as well as a supportive culture, skills, leadership, structure, and technology. Benefits of KM include increased collaboration, reduced loss of intellectual capital, decreased costs, improved productivity, and greater innovation.
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.
Leveraging KM and the Foundation for Artificial IntelligenceEnterprise Knowledge
The document discusses leveraging knowledge management (KM) as the foundation for artificial intelligence (AI). It describes several key elements of effective KM including taxonomy design, content cleanup, defining content types, content governance, knowledge sharing culture, and KM leadership. These elements establish the structure needed for AI and lay the groundwork for five levels of knowledge artificial intelligence (KAI): answer, recommend, combine, infer, and advise. When implemented together, KM and ontology can provide the context to enable more advanced artificial intelligence capabilities.
Performance through agility generic v2.2 seminarRobert Twiddy
Agility Way provides training and coaching services in Performance Through Agility. This presentation fro a seminar that took place in Bangkok in September 2018
• Key things to know before moving to a global model
• Determining what processes should stay at the regional level
• Determine technologies that will support the global model
• Methods for determining the right scope of service for globalized delivery
• Identifying change management strategies
• Measuring the success
Knowledge Management in Consulting Industry Sunita Sharma
Knowledge management is important for consulting firms to improve efficiency and collaboration. There are two main strategies - personalization focuses on expert networks and conversations while codification involves documenting solutions in repositories. Tools include intranets, team spaces, video conferencing, portals, repositories, and social networks.
A case study shows a consulting firm lacked efficient knowledge sharing across offices. They hired a firm to evaluate their needs and implement best practices. Solutions included identifying collaboration tools, selecting software, and training for effective knowledge management. When implemented correctly, knowledge management allows reuse of expertise and growth.
KM SHOWCASE 2019 - The Cost of Doing NothingKM Institute
This document discusses the business case for knowledge and information management. It notes that 90% of data was generated in the last two years, and over 80% of business leaders agree their internal systems don't communicate well. The average employee tenure is 4.4 years. Effective knowledge management involves people, processes, content, culture and technology. Case studies show how knowledge management improves customer satisfaction, staff retention and organizational alignment. Metrics like time savings, staff productivity and opportunity costs can be used to calculate return on investment from knowledge management.
Enterprise Knowledge’s Joe Hilger, COO, and Sara Nash, Principal Consultant, presented “Building a Semantic Layer of your Data Platform” at Data Summit Workshop on May 7th, 2024 in Boston, Massachusetts.
This presentation delved into the importance of the semantic layer and detailed four real-world applications. Hilger and Nash explored how a robust semantic layer architecture optimizes user journeys across diverse organizational needs, including data consistency and usability, search and discovery, reporting and insights, and data modernization. Practical use cases explore a variety of industries such as biotechnology, financial services, and global retail.
Heather Hedden, Senior Consultant at Enterprise Knowledge, presented “Enterprise Knowledge Graphs: The Importance of Semantics” on May 9, 2024, at the annual Data Summit in Boston.
In her presentation, Hedden describes the components of an enterprise knowledge graph and provides further insight into the semantic layer – or knowledge model – component, which includes an ontology and controlled vocabularies, such as taxonomies, for controlled metadata. While data experts tend to focus on the graph database components (RDF triple store or a label property graph), Hedden emphasizes they should not overlook the importance of the semantic layer.
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Now more than ever, we are witnessing the dynamic and interconnected relationship between technology and human interaction impacting the KM space. This is being driven in part by consumer device proliferation and changing user expectations exhibited by the extraordinary rise in use of social networking platforms – with the opportunities and challenges that they bring. The way we are using the web in our personal lives and the effectiveness of this form of online engagement, coupled with a deeper understanding of how social methodologies can be integrated into the business world is forcing large, corporate organisations - which have traditionally been challenged in adopting new ways of working or processing and integrating information – to change their approach to KM, treating information and knowledge as an asset, and can be used to drive value creation through sustaining and improving competitive advantage, delivering insights and enhancing team and organisational productivity.
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The document summarizes a presentation on knowledge management trends for 2020 and beyond. It discusses how knowledge management involves people, processes, content, culture and technology. It also outlines trends for 2020 like the need for clear return on investment from KM efforts and improved understanding of knowledge ecosystems. The presentation describes how knowledge graphs and ontologies can power artificial intelligence and outlines a logical architecture for a KM system.
Five Strategies to Expand Succession Planning in the Public SectorCornerstone OnDemand
Talent management is evolving, and implementing innovative solutions for succession planning, mentoring, training, and recruiting are critical steps for reaching agency goals.
Join us for our webinar to learn how you can efficiently build tomorrow's public sector workforce.
This webinar will teach you:
• Strategies for recruiting millennials
• Different methods and a model for identifying high potential employees
• Strategies and processes to identify, capture, structure, value, and share your organization’s intellectual assets
• How to expand your succession planning strategies to mid-level positions
• How to implement Unified Talent Management Processes and systems
Creative, resourceful, and dynamic leader with entrepreneurial spirit. Specializes in triple bottom line solutions to transform brands and organizations towards sustainability in the digital age. Understands how to engage users in interactive technology. Self-starter adaptable to diverse and changing situations while pursuing long-term goals. Understands how results-oriented business processes achieve revenue, service, and corporate responsibility objectives. Quick learner skilled in planning, developing, presenting, analyzing, and managing. Experienced with diverse internal and external stakeholder needs in business, government, and non-profit sectors.
Dr. bibi al ajmi - quality and knowledge management what you have to do with itqualitysummit
This document discusses quality and knowledge management. It defines knowledge as a fluid mix of experience and information that provides a framework for evaluating new experiences. Knowledge management involves managing expertise for business advantage by gaining timely access to what others know and a willingness to share knowledge. It helps organizations faced with change and uncertainty by supporting technology transfer and knowledge sharing. For an organization to make tacit knowledge explicit requires a learning culture, articulation models, communication platforms, leadership support, and the will to share knowledge. The document lists various knowledge management tools and techniques and emphasizes that knowledge should be the focus of management.
This document provides an overview of knowledge management. It defines knowledge management and discusses its importance. It outlines the key types of knowledge as explicit, implicit, and tacit knowledge. It then describes the five step knowledge management process of identifying role models, finding experts, using technology, sharing the process organization-wide, and repeating. It also discusses various knowledge management tools and techniques including content management systems, data mining, predictive modeling, and black box modeling. The document aims to introduce students to the topic of knowledge management.
How to minimize time spent on searching information in your workplace2016
This workshop exposes participants to different ways of designing and utilising a taxonomy to enhance their job efficiency, as well as to impart key folder structure design principles for a usable, maintainable and effective taxonomy.
Participants can also learn the approach to taxonomy development that takes into account the needs of different stakeholders to ensure maximum adoption and the importance of taxonomy as a living system with the support of an active governance and evaluation process.
In the decades to come, open innovation will play a key role in developed economies revolutionising how organisations deliver value to their customers, shareholders and employees.
This focus on IDEATION will allow companies to become or remain innovative, increasing the chances for new products, customer acquisition and increased financial performance.
PRESTO’s idea crowdsourcing functionality allows your leadership team to ‘throw challenges’ to the crowd accelerating the idea generation process to align your staff’s problem solving skills with the executive corporate growth strategy
Artificial Intelligence & Business Application.pptxShamraoGhodake2
The document discusses various topics related to artificial intelligence and knowledge management including:
1) An overview of artificial intelligence and its applications in management such as supply chain optimization.
2) Key concepts in knowledge management such as knowledge creation, capture, sharing and application.
3) Frameworks for knowledge management such as Nonaka's SECI model and the Knowledge Management Maturity Model.
4) The knowledge management cycle and different approaches to knowledge management.
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HR plays a pivotal role in knowledge management by aligning key HR processes like corporate education, performance management, and culture development to foster knowledge sharing. HR can help create a knowledge-sharing culture by developing mentoring systems, job rotations, and networked organizations to transfer knowledge between employees. HR processes like training, knowledge communities, and e-learning can also help disseminate knowledge across the organization when integrated with knowledge management strategies. When these HR practices encourage open knowledge sharing over knowledge hoarding, they can help leverage the collective knowledge of the entire organization.
Knowledge management (KM) refers to a multi-disciplinary approach to achieving organizational objectives by effectively utilizing knowledge. KM involves people management, process management, information management, and explicit and tacit forms of knowledge. The key components of a KM system include knowledge generation, identification, delivery, and storage as well as a supportive culture, skills, leadership, structure, and technology. Benefits of KM include increased collaboration, reduced loss of intellectual capital, decreased costs, improved productivity, and greater innovation.
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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.
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The document discusses leveraging knowledge management (KM) as the foundation for artificial intelligence (AI). It describes several key elements of effective KM including taxonomy design, content cleanup, defining content types, content governance, knowledge sharing culture, and KM leadership. These elements establish the structure needed for AI and lay the groundwork for five levels of knowledge artificial intelligence (KAI): answer, recommend, combine, infer, and advise. When implemented together, KM and ontology can provide the context to enable more advanced artificial intelligence capabilities.
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Agility Way provides training and coaching services in Performance Through Agility. This presentation fro a seminar that took place in Bangkok in September 2018
• Key things to know before moving to a global model
• Determining what processes should stay at the regional level
• Determine technologies that will support the global model
• Methods for determining the right scope of service for globalized delivery
• Identifying change management strategies
• Measuring the success
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Knowledge management is important for consulting firms to improve efficiency and collaboration. There are two main strategies - personalization focuses on expert networks and conversations while codification involves documenting solutions in repositories. Tools include intranets, team spaces, video conferencing, portals, repositories, and social networks.
A case study shows a consulting firm lacked efficient knowledge sharing across offices. They hired a firm to evaluate their needs and implement best practices. Solutions included identifying collaboration tools, selecting software, and training for effective knowledge management. When implemented correctly, knowledge management allows reuse of expertise and growth.
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This document discusses the business case for knowledge and information management. It notes that 90% of data was generated in the last two years, and over 80% of business leaders agree their internal systems don't communicate well. The average employee tenure is 4.4 years. Effective knowledge management involves people, processes, content, culture and technology. Case studies show how knowledge management improves customer satisfaction, staff retention and organizational alignment. Metrics like time savings, staff productivity and opportunity costs can be used to calculate return on investment from knowledge management.
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Enterprise Knowledge’s Joe Hilger, COO, and Sara Nash, Principal Consultant, presented “Building a Semantic Layer of your Data Platform” at Data Summit Workshop on May 7th, 2024 in Boston, Massachusetts.
This presentation delved into the importance of the semantic layer and detailed four real-world applications. Hilger and Nash explored how a robust semantic layer architecture optimizes user journeys across diverse organizational needs, including data consistency and usability, search and discovery, reporting and insights, and data modernization. Practical use cases explore a variety of industries such as biotechnology, financial services, and global retail.
Heather Hedden, Senior Consultant at Enterprise Knowledge, presented “Enterprise Knowledge Graphs: The Importance of Semantics” on May 9, 2024, at the annual Data Summit in Boston.
In her presentation, Hedden describes the components of an enterprise knowledge graph and provides further insight into the semantic layer – or knowledge model – component, which includes an ontology and controlled vocabularies, such as taxonomies, for controlled metadata. While data experts tend to focus on the graph database components (RDF triple store or a label property graph), Hedden emphasizes they should not overlook the importance of the semantic layer.
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Enterprise Knowledge’s Urmi Majumder, Principal Data Architecture Consultant, and Fernando Aguilar Islas, Senior Data Science Consultant, presented "Driving Behavioral Change for Information Management through Data-Driven Green Strategy" on March 27, 2024 at Enterprise Data World (EDW) in Orlando, Florida.
In this presentation, Urmi and Fernando discussed a case study describing how the information management division in a large supply chain organization drove user behavior change through awareness of the carbon footprint of their duplicated and near-duplicated content, identified via advanced data analytics. Check out their presentation to gain valuable perspectives on utilizing data-driven strategies to influence positive behavioral shifts and support sustainability initiatives within your organization.
In this session, participants gained answers to the following questions:
- What is a Green Information Management (IM) Strategy, and why should you have one?
- How can Artificial Intelligence (AI) and Machine Learning (ML) support your Green IM Strategy through content deduplication?
- How can an organization use insights into their data to influence employee behavior for IM?
- How can you reap additional benefits from content reduction that go beyond Green IM?
Sara Mae O’Brien Scott and Tatiana Baquero Cakici, Senior Consultants at Enterprise Knowledge (EK), presented “AI Fast Track to Search-Focused AI Solutions” at the Information Architecture Conference (IAC24) that took place on April 11, 2024 in Seattle, WA.
In their presentation, O’Brien-Scott and Cakici focused on what Enterprise AI is, why it is important, and what it takes to empower organizations to get started on a search-based AI journey and stay on track. The presentation explored the complexities of enterprise search challenges and how IA principles can be leveraged to provide AI solutions through the use of a semantic layer. O’Brien-Scott and Cakici showcased a case study where a taxonomy, an ontology, and a knowledge graph were used to structure content at a healthcare workforce solutions organization, providing personalized content recommendations and increasing content findability.
In this session, participants gained insights about the following:
Most common types of AI categories and use cases;
Recommended steps to design and implement taxonomies and ontologies, ensuring they evolve effectively and support the organization’s search objectives;
Taxonomy and ontology design considerations and best practices;
Real-world AI applications that illustrated the value of taxonomies, ontologies, and knowledge graphs; and
Tools, roles, and skills to design and implement AI-powered search solutions.
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Heather Hedden, Senior Consultant at Enterprise Knowledge, presented “The Role of Taxonomy and Ontology in Semantic Layers” at a webinar hosted by Progress Semaphore on April 16, 2024.
Taxonomies at their core enable effective tagging and retrieval of content, and combined with ontologies they extend to the management and understanding of related data. There are even greater benefits of taxonomies and ontologies to enhance your enterprise information architecture when applying them to a semantic layer. A survey by DBP-Institute found that enterprises using a semantic layer see their business outcomes improve by four times, while reducing their data and analytics costs. Extending taxonomies to a semantic layer can be a game-changing solution, allowing you to connect information silos, alleviate knowledge gaps, and derive new insights.
Hedden, who specializes in taxonomy design and implementation, presented how the value of taxonomies shouldn’t reside in silos but be integrated with ontologies into a semantic layer.
Learn about:
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With the explosive popularity of ChatGPT, organizations are throwing massive budgets and executive attention at the implementation of AI technologies. Making these solutions work for the enterprise can deliver competitive advantage and open up new solutions and business opportunities that were never before possible. However, without the right Information Architecture (IA) foundations, these projects are bound to fail. In this presentation, Marino and Galdamez provided practical, actionable steps around IA that organizations can take in preparation for future AI solutions.
In this session, attendees:
- Reviewed key elements of IA and discovered how their successful design and implementation can lay the foundations for AI;
- Learned basic terminology surrounding AI, as well as different techniques and applications of AI in enterprise environments;
- Gained a deeper understanding of the feedback loops between IA and AI and the corresponding implications on user experience; and
- Received practical advice on IA design to facilitate its implementation and the success of AI efforts.
Heather Hedden, Senior Consultant at Enterprise Knowledge, presented "An Overview of Taxonomies and AI" on January 30th, 2024, in the inaugural webinar of the Artificial Intelligence webinar series: The promise and the perils,” hosted by the Knowledge & Information Management Group of CILIP, the library and information association of the UK. In her presentation, Heather explained, with examples, how both generative AI and other AI technologies support taxonomy development and use and how taxonomies can support AI applications.
Explore the presentation to learn:
Why both top-down and bottom-up methods are needed in taxonomy creation
What AI methods are used for auto-tagging and auto-classification with taxonomies
How AI methods can extract candidate terms for taxonomy creation
How generative AI can be used for certain bottom-up taxonomy development tasks
How AI can be used to analyze a taxonomy against a corpus of documents
How generative AI can be used in queries to analyze a taxonomy
What AI applications taxonomies can support
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Sara Duane, Senior Consultant within EK’s Strategic Consulting practice, and EK client Tom Summerfelt, former Chief Research Officer at Feeding America, presented on November 7, 2023 at KMWorld. The talk, “Nonprofit KM Journey to Success: Lessons & Learnings at Feeding America” focused on best practices for designing and implementing KM strategies that directly align with nonprofit organizational goals.
Duane and Summerfelt used their first-hand experience developing a multi-year comprehensive KM Strategy for Feeding America to outline real-world considerations and examples of:
Unique KM challenges faced by organizations in the nonprofit space
Considerations for strategic priorities and KM roadmaps for nonprofits
How to describe the business impact of KM for nonprofits
EK presented with Kate Vilches, Knowledge Management Lead at Ulteig, on November 6, 2022 at the Taxonomy Boot Camp Conference, co-located with KMWorld, in Washington, D.C. The talk, “Taxonomy Roller Coasters: Techniques to Keep Stakeholders on the Ride,” focused on proven stakeholder management techniques during enterprise taxonomy development and launch activities.
Gray and Vilches used their firsthand experience to relate advice, share practical tools, and provide real-life examples to ensure successful stakeholder involvement, reinforcing three key themes for attendees:
How to select partners and build coalitions to ensure long term success;
Overview of the steps, stages, challenges, and thrills of defining and implementing an enterprise taxonomy; and
The importance and finesse of effective change management efforts to ensure that stakeholders begin and remain excited and involved throughout the project.
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Sara Nash and Urmi Majumder, Principal Consultants at Enterprise Knowledge, presented on April 19, 2023 at KM World in Washington D.C. on the topic of Scaling Knowledge Graph Architectures with AI.
In this presentation, Sara and Urmi defined a Knowledge Graph architecture and reviewed how AI can support the creation and growth of Knowledge Graphs. Drawing from their experience in designing enterprise Knowledge Graphs based on knowledge embedded in unstructured content, Sara and Urmi defined approaches for entity and relationship extraction depending on Enterprise AI maturity and highlighted other key considerations to incorporate AI capabilities into the development of a Knowledge Graph.
View presentation below in order to learn about how:
Assess entity and relationship extraction readiness according to EK’s Extraction Maturity Spectrum and Relationship Extraction Maturity Spectrum.
Utilize knowledge extraction from content to gather important insights into organizational data.
Extract knowledge with three approaches:
RedEx Rule, Auto-Classification Rule, Custom ML Model
Examine key factors such as how to leverage SMEs, iterate AI processes, define use cases, and invest in establishing robust AI models.
Building for the Knowledge Management Archetypes at Your CompanyEnterprise Knowledge
Building for the KM Archetypes at Your Company
Taylor Paschal, Knowledge and Information Management Consultant at Enterprise Knowledge, and Jessica Malloy, Senior Knowledge Manager at Harvard Business Publishing presented on April 19, 2023 at the APQC Conference in Houston, Texas on the topic of Building for the KM Archetypes at Your Company. In this presentation, Jessica and Taylor define common types of personalities that are often present when building a KM program. Jessica and Taylor prompted attendees to think through the root causes of various behaviors and the approaches for taking these into account when driving KM forward in round table discussions supported by this worksheet (link). Attendees left with the ability to:
Describe the importance of focusing on the unique culture of an organization when building and iterating on a KM program
Recognize organizational archetypes and know how to adapt their KM program to them
Conduct a cultural assessment of their own organization to ensure their KM program is meeting them where they are
Knowledge Graphs are Worthless, Knowledge Graph Use Cases are PricelessEnterprise Knowledge
At Knowledge Graph Forum 2022, Lulit Tesfaye and Sara Nash, Senior Consultant discuss the importance of establishing valuable and actionable use cases for knowledge graph efforts. The discussion draws on lessons learned from several knowledge graph development efforts to define how to diagnose a bad use case and outlined their impact on initiatives - including strained relationships with stakeholders, time spent reworking priorities, and team turnover. They also share guidance on how to navigate these scenarios and provide a checklist to assess a strong use case.
For KM practitioners, Agile frameworks have long been important for optimizing stakeholder value and satisfaction in KM initiatives. Over 20 years ago, a group of software developers revolutionized their field by introducing the Agile Manifesto to guide their industry in adopting Agile values, frameworks, and practices. However, until now, KM practitioners have lacked a formal framework demonstrating how to apply Agility to KM. In short, it is time to codify these Agile principles in a manner suited for the KM profession. Leveraging the original Agile Manifesto for inspiration, Andrew Politi and Megan Salerno introduced “The Agile KM Manifesto” at KM World 2022. The presentation is designed to initiate a conversation amongst KM practitioners across the industry about this initial version of the Agile KM Manifesto (the 'AKM'), and solicit feedback on future iterations.
Next, the presenters walked through three EK case studies demonstrating how the application of its principles could have saved significant time in those initiatives.
First, we described how a global non-profit approached EK to address duplicate and outdated content, and the lack of content creation standards.
Applicable AKM principle: "Content should only be available to users if it is new, essential, reliable, dynamic, and reusable. If these criteria are not met, the content must be cleaned-up or archived accordingly.”"
Next was a discussion of how national nuclear research laboratory struggled to share and discover knowledge from retiring employees and compartmentalized silos.
Applicable AKM principle: “Tacit knowledge and expertise should be proactively and formally captured and stored in the same manner as explicit knowledge.”
Finally, the presenters described how one of the largest multinational athletic apparel companies struggled to help geographically separated teams collectively and collaboratively reuse knowledge and create content across the globe, even functionally similar focus roles.
Applicable AKM principle: “All KM efforts must leverage a common language. Develop, socialize, and employ a common KM language so stakeholders don't speak past each other and can maintain consensus throughout your KM effort.”
Ultimately, this presentation served to introduce The AKM to the broader community, demonstrate its value, and solicit input from across the industry.
Road Maps & Roadblocks to Federal Electronic Records ManagementEnterprise Knowledge
Angela Pitts, Sr. Consultant at Enterprise Knowledge, and Dave Simmons, Sr. Records Officer at General Services Administration (GSA), presented a case study in federal electronic records management that detailed the success of the GSA's Enterprise Document Management Solution (EDMS). They detailed the strategies used to identify elements of organizational change management required to successfully transition standard functions of records management (RM)—capture, maintenance, disposal, transfer, assignment of metadata, and reporting—from manual, paper-based practices to more efficient and less costly electronic systems.
Records Management is a necessary component of successful Knowledge Management as it systematically manages valuable content created and owned by the business. With technological advancements, most agencies have seen the volume of document records increase exponentially because they are now frequently born and managed as digital content through the records lifecycle. Acknowledging the challenge of managing more content with fewer people, Angela and Dave explained how the design of GSA's lean and agile systems and workflows enabled the agency to reduce the resources and attention needed to manage content collections while maintaining legal compliance and quality standards.
Building an Innovative Learning Ecosystem at Scale with Graph TechnologiesEnterprise Knowledge
Todd Fahlberg of Enterprise Knowledge, and Amber Simpson, a Senior Manager at Walmart Academy, presented on November 9, 2022 at the KMWorld Conference in Washington, DC on the topic of Building an Innovative Learning Ecosystem at Scale with Graph Technologies. In this presentation, Todd and Amber share how they’re making it easier for Walmart’s learning organization to manage content used by 2.4 million global associates with a custom Digital Library. The presentation provides insight into the challenges they faced and the lessons they learned along the way, in addition to their approach to design and implement the Digital Library. Todd and Amber also detail how and why they used graph technologies to make certain their solution can continue to scale to meet the needs of Walmart’s massive workforce and evolving business needs.
Identifying Security Risks Using Auto-Tagging and Text AnalyticsEnterprise Knowledge
On Thursday, November 10, Joe Hilger and Sara Duane spoke at Text Analytics Forum about identifying secure and confidential information using auto-tagging. Information security continues to grow in importance in today's society. We hear stories all of the time about hackers accessing private information from companies and government agencies. Every organization struggles with employees who store confidential information on insecure network drives or cloud drives. Joe and Sara did a project with a federal research organization that used auto-tagging and text analytics to identify confidential information that needed to be moved to a secure location. During the presentation, we shared the approach we took to identify this information and how we made sure that the tagging and text analytics were accurate. Attendees learned best practices for designing a taxonomy for auto-tagging and tuning auto-tagging as well as ways to identify confidential information across the enterprise.
Zach Wahl and Sara Mae O'Brien-Scott spoke at the 2022 Taxonomy Boot Camp in Washington, D.C. on taxonomy's critical role in delivering what every end user now expects—a seamless and personalized experience. Personalization is harnessed by the most successful organizations to anchor their content experience by allowing users to connect with content based on key characteristics. O’Brien-Scott and Wahl provided an understanding of how taxonomy powers personalization by detailing real-world use cases and best practices for taxonomy design for personalization. They discussed the personalization maturity scale, including how taxonomy lays the groundwork for enabling cutting-edge solutions such as recommendation engines, automated content assembly, and omnichannel delivery. They also shared expected outcomes of personalization such as increased conversion rates, a decrease in employee turnover, and stronger user engagement.
Climbing the Ontology Mountain to Achieve a Successful Knowledge GraphEnterprise Knowledge
Tatiana Baquero Cakici, Senior KM Consultant, and Jennifer Doughty, Senior Solution Consultant from Enterprise Knowledge’s Data and Information Management (DIME) Division presented at the Taxonomy Boot Camp (KMWorld 2022) on November 17, 2022. KMWorld is the world’s leading knowledge management event that takes place every year in Washington, DC.
Their presentation “Climbing the Ontology Mountain to Achieve a Successful Knowledge Graph” focused on how ontologies have gained momentum as a strong foundation for resolving business challenges through semantic search solutions, recommendation engines, and AI strategies. Cakici and Doughty explained that taxonomists are now faced with the challenge of gaining knowledge and experience in designing and documenting complex solutions that involve the integration of taxonomies, ontologies, and knowledge graphs. They also emphasized that taxonomists are well poised to learn how to design user-centric ontologies, analyze and map data from various systems, and understand the technological architecture of knowledge graph solutions. After describing the key roles and responsibilities needed for a team to successfully implement Knowledge Graph projects, Cakici and Doughty shared practical ontology design considerations and best practices based on their own experience. Lastly, Cakici and Doughty reviewed the most common use cases for knowledge graphs and presented real world applications through a case study that illustrated ontology design and the value of knowledge graphs.
JPL’s Institutional Knowledge Graph II: A Foundation for Constructing Enterpr...Enterprise Knowledge
Previously at KMWorld 2021, EK joined JPL to share the vision, approach, and delivery of the Institutional Knowledge Graph (IKG), a centrally maintained, ever-evolving knowledge graph identifying and describing JPL’s enterprise-wide concepts, such as people, organizations, projects, and facilities, and the relationships between them. Since August 2020, the IKG has offered a single source of enterprise information that other JPL applications can leverage to reduce redundancy and out-of-date or inaccurate data. In production for 2 years and now with several releases under its belt, the IKG is beginning to fulfill its promise as a foundational layer in the semantic pyramid for additional taxonomies and knowledge graphs to build upon.
At KM World 2022, Bess Schrader, Senior Solutions Consultant at EK, and Ann Bernath, Software Systems Engineer at JPL, shared a follow-up to the IKG journey including a description of the Enterprise Semantic Platform, a look at new taxonomies and knowledge graphs at JPL (enterprise-wide, others specific to engineering, technical, or science domains) and how they are beginning to leverage the IKG’s foundation of JPL concepts to enrich their dataset into a broader context. This presentation discussed different techniques to federate or synchronize multiple knowledge graphs and how these diverse integrations benefit not only the new datasets, but also the IKG as it continues to pursue its overarching dream--providing answers to questions such as, “Who did what when?”, “Who should you call?”, and “Where is the Robotics Lab?”
"Choosing proper type of scaling", Olena SyrotaFwdays
Imagine an IoT processing system that is already quite mature and production-ready and for which client coverage is growing and scaling and performance aspects are life and death questions. The system has Redis, MongoDB, and stream processing based on ksqldb. In this talk, firstly, we will analyze scaling approaches and then select the proper ones for our system.
Getting the Most Out of ScyllaDB Monitoring: ShareChat's TipsScyllaDB
ScyllaDB monitoring provides a lot of useful information. But sometimes it’s not easy to find the root of the problem if something is wrong or even estimate the remaining capacity by the load on the cluster. This talk shares our team's practical tips on: 1) How to find the root of the problem by metrics if ScyllaDB is slow 2) How to interpret the load and plan capacity for the future 3) Compaction strategies and how to choose the right one 4) Important metrics which aren’t available in the default monitoring setup.
"$10 thousand per minute of downtime: architecture, queues, streaming and fin...Fwdays
Direct losses from downtime in 1 minute = $5-$10 thousand dollars. Reputation is priceless.
As part of the talk, we will consider the architectural strategies necessary for the development of highly loaded fintech solutions. We will focus on using queues and streaming to efficiently work and manage large amounts of data in real-time and to minimize latency.
We will focus special attention on the architectural patterns used in the design of the fintech system, microservices and event-driven architecture, which ensure scalability, fault tolerance, and consistency of the entire system.
The Microsoft 365 Migration Tutorial For Beginner.pptxoperationspcvita
This presentation will help you understand the power of Microsoft 365. However, we have mentioned every productivity app included in Office 365. Additionally, we have suggested the migration situation related to Office 365 and how we can help you.
You can also read: https://www.systoolsgroup.com/updates/office-365-tenant-to-tenant-migration-step-by-step-complete-guide/
Automation Student Developers Session 3: Introduction to UI AutomationUiPathCommunity
👉 Check out our full 'Africa Series - Automation Student Developers (EN)' page to register for the full program: http://bit.ly/Africa_Automation_Student_Developers
After our third session, you will find it easy to use UiPath Studio to create stable and functional bots that interact with user interfaces.
📕 Detailed agenda:
About UI automation and UI Activities
The Recording Tool: basic, desktop, and web recording
About Selectors and Types of Selectors
The UI Explorer
Using Wildcard Characters
💻 Extra training through UiPath Academy:
User Interface (UI) Automation
Selectors in Studio Deep Dive
👉 Register here for our upcoming Session 4/June 24: Excel Automation and Data Manipulation: https://community.uipath.com/events/details
From Natural Language to Structured Solr Queries using LLMsSease
This talk draws on experimentation to enable AI applications with Solr. One important use case is to use AI for better accessibility and discoverability of the data: while User eXperience techniques, lexical search improvements, and data harmonization can take organizations to a good level of accessibility, a structural (or “cognitive” gap) remains between the data user needs and the data producer constraints.
That is where AI – and most importantly, Natural Language Processing and Large Language Model techniques – could make a difference. This natural language, conversational engine could facilitate access and usage of the data leveraging the semantics of any data source.
The objective of the presentation is to propose a technical approach and a way forward to achieve this goal.
The key concept is to enable users to express their search queries in natural language, which the LLM then enriches, interprets, and translates into structured queries based on the Solr index’s metadata.
This approach leverages the LLM’s ability to understand the nuances of natural language and the structure of documents within Apache Solr.
The LLM acts as an intermediary agent, offering a transparent experience to users automatically and potentially uncovering relevant documents that conventional search methods might overlook. The presentation will include the results of this experimental work, lessons learned, best practices, and the scope of future work that should improve the approach and make it production-ready.
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor IvaniukFwdays
At this talk we will discuss DDoS protection tools and best practices, discuss network architectures and what AWS has to offer. Also, we will look into one of the largest DDoS attacks on Ukrainian infrastructure that happened in February 2022. We'll see, what techniques helped to keep the web resources available for Ukrainians and how AWS improved DDoS protection for all customers based on Ukraine experience
Discover the Unseen: Tailored Recommendation of Unwatched ContentScyllaDB
The session shares how JioCinema approaches ""watch discounting."" This capability ensures that if a user watched a certain amount of a show/movie, the platform no longer recommends that particular content to the user. Flawless operation of this feature promotes the discover of new content, improving the overall user experience.
JioCinema is an Indian over-the-top media streaming service owned by Viacom18.
inQuba Webinar Mastering Customer Journey Management with Dr Graham HillLizaNolte
HERE IS YOUR WEBINAR CONTENT! 'Mastering Customer Journey Management with Dr. Graham Hill'. We hope you find the webinar recording both insightful and enjoyable.
In this webinar, we explored essential aspects of Customer Journey Management and personalization. Here’s a summary of the key insights and topics discussed:
Key Takeaways:
Understanding the Customer Journey: Dr. Hill emphasized the importance of mapping and understanding the complete customer journey to identify touchpoints and opportunities for improvement.
Personalization Strategies: We discussed how to leverage data and insights to create personalized experiences that resonate with customers.
Technology Integration: Insights were shared on how inQuba’s advanced technology can streamline customer interactions and drive operational efficiency.
This talk will cover ScyllaDB Architecture from the cluster-level view and zoom in on data distribution and internal node architecture. In the process, we will learn the secret sauce used to get ScyllaDB's high availability and superior performance. We will also touch on the upcoming changes to ScyllaDB architecture, moving to strongly consistent metadata and tablets.
GlobalLogic Java Community Webinar #18 “How to Improve Web Application Perfor...GlobalLogic Ukraine
Під час доповіді відповімо на питання, навіщо потрібно підвищувати продуктивність аплікації і які є найефективніші способи для цього. А також поговоримо про те, що таке кеш, які його види бувають та, основне — як знайти performance bottleneck?
Відео та деталі заходу: https://bit.ly/45tILxj
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsDianaGray10
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
For senior executives, successfully managing a major cyber attack relies on your ability to minimise operational downtime, revenue loss and reputational damage.
Indeed, the approach you take to recovery is the ultimate test for your Resilience, Business Continuity, Cyber Security and IT teams.
Our Cyber Recovery Wargame prepares your organisation to deliver an exceptional crisis response.
Event date: 19th June 2024, Tate Modern
"Scaling RAG Applications to serve millions of users", Kevin GoedeckeFwdays
How we managed to grow and scale a RAG application from zero to thousands of users in 7 months. Lessons from technical challenges around managing high load for LLMs, RAGs and Vector databases.
Northern Engraving | Modern Metal Trim, Nameplates and Appliance PanelsNorthern Engraving
What began over 115 years ago as a supplier of precision gauges to the automotive industry has evolved into being an industry leader in the manufacture of product branding, automotive cockpit trim and decorative appliance trim. Value-added services include in-house Design, Engineering, Program Management, Test Lab and Tool Shops.
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Keywords: AI, Containeres, Kubernetes, Cloud Native
Event Link: https://meine.doag.org/events/cloudland/2024/agenda/#agendaId.4211
"NATO Hackathon Winner: AI-Powered Drug Search", Taras KlobaFwdays
This is a session that details how PostgreSQL's features and Azure AI Services can be effectively used to significantly enhance the search functionality in any application.
In this session, we'll share insights on how we used PostgreSQL to facilitate precise searches across multiple fields in our mobile application. The techniques include using LIKE and ILIKE operators and integrating a trigram-based search to handle potential misspellings, thereby increasing the search accuracy.
We'll also discuss how the azure_ai extension on PostgreSQL databases in Azure and Azure AI Services were utilized to create vectors from user input, a feature beneficial when users wish to find specific items based on text prompts. While our application's case study involves a drug search, the techniques and principles shared in this session can be adapted to improve search functionality in a wide range of applications. Join us to learn how PostgreSQL and Azure AI can be harnessed to enhance your application's search capability.
MongoDB to ScyllaDB: Technical Comparison and the Path to SuccessScyllaDB
What can you expect when migrating from MongoDB to ScyllaDB? This session provides a jumpstart based on what we’ve learned from working with your peers across hundreds of use cases. Discover how ScyllaDB’s architecture, capabilities, and performance compares to MongoDB’s. Then, hear about your MongoDB to ScyllaDB migration options and practical strategies for success, including our top do’s and don’ts.
2. ENTERPRISE KNOWLEDGE
10
AREAS OF
EXPERTISE
● KM STRATEGY & DESIGN
● TAXONOMY & ONTOLOGY DESIGN
● AGILE, DESIGN THINKING & FACILITATION
● CONTENT & DATA STRATEGY
● KNOWLEDGE GRAPHS, DATA MODELING,
& AI
● ENTERPRISE LEARNING
● INTEGRATED CHANGE MANAGEMENT
● ENTERPRISE SEARCH
● CONTENT AND DATA MANAGEMENT
● ENTERPRISE AI
Clients in 25+ Countries Across Multiple Industries
HEADQUARTERED IN
ARLINGTON, VIRGINIA, USA
GLOBAL OFFICE IN BRUSSELS,
BELGIUM
70+
EXPERT
CONSULTANTS
AWARD-WINNING
CONSULTANCY
KMWORLD
● 100 COMPANIES THAT MATTER IN KM (2015-2024)
● TOP 50 TRAILBLAZERS IN AI (2020-2023)
INC MAGAZINE
● THE 5000 FASTEST GROWING COMPANIES (2018-2023)
● BEST WORKPLACES (2018-2019, 2021-2023)
WASHINGTONIAN MAGAZINE
● TOP 50 GREAT PLACES TO WORK (2017)
WASHINGTON BUSINESS JOURNAL
● BEST PLACES TO WORK (2017-2020)
ARLINGTON ECONOMIC DEVELOPMENT
● FAST FOUR AWARD – FASTEST GROWING COMPANY (2016)
VIRGINIA CHAMBER OF COMMERCE
● FANTASTIC 50 AWARD – FASTEST GROWING COMPANY (2019, 2020)
Top Implementer of
Leading Knowledge and
Data Management Tools
500+ Thought Leadership
Pieces Published
3. ENTERPRISE KNOWLEDGE
Taylor Paschal
Senior Knowledge and Information
Management Consultant
Experience & Background
● Specializes in the implementation and scaling of
cutting-edge knowledge management
programs.
● Current Project Manager for a Federal Agency’s
5-Year Modernization and Maturity KM Strategy.
● Experience as a KM advisor for a variety of
nonprofit, private and government
organizations/agencies.
● KM expertise on the implementation of KM
Roadmaps, Content Optimization, and Operating
models.
● Led a Sharepoint Online Information Architecture
and Design engagement with a
government-partnering engineering firm.
● Established knowledge management at a
lifestyle management company over five years as
the company scaled from Schedule B start-up to
Schedule E IPO track.
Certifications
● Certified Knowledge Manager (CKM)
● KCS v6 Fundamentals
3
4. ENTERPRISE KNOWLEDGE
1. Review what KM ‘Is’ and
‘Isn’t’
2. Understand the Value of KM
and the Benefits of
Engaging
3. Define and Reflect on
YOUR “What’s in it for me?”
4. Share actionable ways you
can participate in
Knowledge Capture &
Transfer
Objectives
5. ENTERPRISE KNOWLEDGE
Knowledge Management involves the People,
Processes, Content, Culture, and enabling
Technologies necessary to capture, manage,
share, and find information.
6. A New Perspective on KM
People Process Content Culture Technology
• Flow of
knowledge
through the
organization.
• Knowledge
holders and
knowledge
consumers.
• Understanding of
state and
disposition of
experts.
• Existence and
consistency of
processes.
• Awareness of and
adherence to
processes.
• Quality of
processes.
• State and location
of content.
• Consistency of
structure and
architecture.
• Dynamism of
content.
• Understanding of
usage (analytics).
• Senior support
and
comprehension.
• Willingness to
share, collaborate,
and support.
• Maturity of “KM
Suite.”
• Integration with
and between
systems.
• Usability and
user-centricity.
7. Knowledge Management Lifecycle
CREATE
The point at which knowledge or
information is first exposed, either
in written or verbal form.
CAPTURE
The collection of information in a
tool or repository (from tacit to
explicit) so that it can be
managed.
MANAGE
Tools, technologies, and processes
required to secure, organize, control,
and expose the right information to the
right people.
ENHANCE
Processes to evolve and
prime the information.
FIND
Tools and technologies to
help people find the
content they need, when
they need it.
CONNECT
Creating links between knowledge
and information, between the
holders of knowledge (experts),
and between repositories.
Decisions, activities
or processes where
information could
be streamlined to
ensure success.
CONNECT CREATE
CAPTURE
MANAGE
ENHANCE
FIND
ACT
8. ENTERPRISE KNOWLEDGE
What Can KM Look Like?
Employee Center
Projects
Human Resources
Business
Development
Purchasing
Project X
Project Y
Project X Close-Out
Project X Meeting
Notes
ᐩ
ᐩ
ᐩ
Photo Credit: Jive Software
9. ENTERPRISE KNOWLEDGE
What Can KM Look Like?
Initiative Launch Online
Learning Communities
Knowledge and
Information
Management Strategy
Content Management
Strategy
Real-time Collaborative
Editing and
Multi-Channel
Publishing
Semantic Search and
Recommender System
New
capability
Enable new knowledge
flows by connecting
learners asynchronously.
Faster, more efficient
upscaling. Increased staff
engagement.
The Department of the
Navy sought to enhance its
Knowledge Management
capabilities in order to
optimize overall existing
system usability, content
management processes,
and search efficiency to
improve productivity for
1,000 of their staff, legal
counselors, and
representatives.
The U.S. General Services
Administration (GSA)
needed a centralized
solution for managing
documents across the
agency to improve their
document management
capabilities and meet
mandates.
The State Department
needed to create and
distribute event
summaries rapidly.
Multiple team members
needed to build the
summaries simultaneously,
to provide decision-makers
with information at the
time of need. The existing
process required using
several tools, lots of manual
steps, and delivery was slow
and unreliable.
Receive not only search
results, but direct answers
to queries. Sign-up for a
‘briefing’ service that
delivers relevant reading
material prior to meetings.
Enabling KM
practices and
technologies
● Communities of
Practice
● Content Strategy and
Publishing Workflows
● Gamification and
knowledge-sharing
incentives
● Search
● Knowledge
Management Strategy
● Content Management
● Knowledge-Sharing
Techniques
● Document
Management
● KM Strategy
● Knowledge Transfer
● Information
Management
● Search Strategy
● Ontologies
● Knowledge Graphs
10. Business Outcomes
▪ Improved content findability,
discoverability and accessibility.
▪ Increased use and reuse of
information.
▪ Decreased knowledge loss.
▪ Improved organizational awareness
and alignment.
▪ Enhanced quality, availability, and
speed of learning.
▪ Improved productivity.
▪ Decreased costs (and cost
avoidance).
▪ Improved employee satisfaction
▪ Faster and efficient up-scaling of
employees.
▪ Improved customer experience.
▪ Improved delivery and sales.
▪ Increased collaboration and
innovation.
▪ Modernization of capabilities.
KM Outcomes
11. Forms of Knowledge
Tacit Explicit
Structured
Unstructured
Knowledge
Capture & Transfer
Highly
internalized
knowledge has
not yet been
recorded or
captured.
Knowledge that has been
made visible by capturing,
recording, or embedding it
in databases, documents
and processes.
Organized and categorized in a consistent way that
makes it easy for systems and machines to read
and process. More difficult for human users to
understand without underlying context.
Inconsistent organization and categorization.
Generally easy for human users to read and
understand, but more difficult for machines to use
and process.
12. ENTERPRISE KNOWLEDGE
⬢ Communities of
Practice (CoPs)
⬢ Knowledge
Transfer
Workshop
⬢ Knowledge
Council
⬢ Knowledge Cafés
⬢ SME Interviews
⬢ Expert-Led
Cohorts
⬢ Expert-Led
Training
⬢ Job Shadowing
⬢ Mentoring &
Coaching
⬢ Pair
Programming
No Tech
⬢ Videos /
Recordings
⬢ Social Networking
⬢ Social Chat Tools
⬢ Knowledge
Articles
⬢ Newsletters
⬢ Discussion
Forums (AMA)
⬢ E-mail (w/ Log)
⬢ Meetings (w/
Notes)
⬢ Onboarding /
Offboarding
Surveys
Low Tech
⬢ Knowledge Base
⬢ Gamification
⬢ Digital
Community
Groups
⬢ Expertise Finder
⬢ Augmented/
Virtual Reality
(XR)
⬢ Lessons Learned
Repository
⬢ AI Bot Training
⬢ AI-Powered
Decision Making
⬢ Electronic
Performance
Support Systems
(EPSS)
High Tech*
KM Capture & Transfer
Matrix
⬢ Through years of experience
with selecting, tailoring, and
implementing knowledge
capture and transfer
frameworks within a variety of
organizations, EK has
developed a matrix of
knowledge capture, transfer,
and sharing methods and
techniques.
⬡ X-Axis:
technology/complexity
(no-tech, low-tech, high-tech)
⬡ Y-Axis: type of interaction
(one- to-one, one-to-many,
many-to-many)
⬢ Start with a pilot in the top
left square (no-tech,
many-to-many).
13. Knowledge Transfer Techniques
13
KNOWLEDGE SHARING TECHNIQUES DESCRIPTION
Peer Mentoring, Job Shadowing Enables the core knowledge transfer team and/or a designated learning group to observe experts and “human search engines” performing
their day-to-day activities on the job, culminating in debriefing discussions in which crucial information, points of contact, and resources can
be teased out.
Mentoring, Coaching A dynamic, reciprocal relationship in an organization between a tenured employee and a newer employee designed to promote the career
development of both.
Subject Matter Expert Interviews Works to elicit strategies, theories, techniques, best practices, workflows, common mistakes, and crucial pieces of content utilized by
high-performing individuals within an organization.
Subject Matter Expert Profiles An online profile, typically found on a company intranet, where individuals provide technical and/or detailed information about their expertise.
Simulation, Role Playing Replicates a similar environment and/or experience(s) where the knowledge was originally created.
Diagrams Visual representations of systems, including main actors, actions, roles, etc. in order to better understand, alter, or maintain information about
a system.
Videos/Recordings A digital recording of a program, such as a radio broadcast or “How-To,” which is then downloadable from the internet to personal audio
players.
Frequently Asked Questions Provides information on frequent questions or challenges.
Implicit Knowledge Capture Processes to mine email text and/or perform social network analysis of employee’s emails in order to capture critical knowledge and identify
knowledge connections.
14. Knowledge Transfer Techniques
KNOWLEDGE SHARING TECHNIQUES DESCRIPTION
Hack-a-thon/Knowledge Fair An event that showcases information about an organization or topic.
Gamification The use of design and insights from games to help develop knowledge and foster the ability of KM behaviors and processes.
Knowledge Transfer Workshop Most often facilitated by a third party, a workshop is a low-risk, low-cost way for key stakeholders to understand what it takes to reach their
knowledge transfer goals and enables business leaders to create an actionable set of next steps to continue on their knowledge transfer
journey.
Knowledge Base Repository Captures learning in an accessible repository before, during, and/or after a project. This knowledge can be reused by multiple teams for a
subsequent project.
Knowledge Handover Checklist Identifies important information that employees and successors would need in order to do their job effectively and efficiently, such as success
stories, key contacts, common work processes, best practices, past projects, lessons learned, performance assessments, etc.
Peer Assists A facilitated, face-to-face working session where colleagues from different teams can share their experiences and knowledge in preparation
for an upcoming project with a similar objective and/or challenge.
After Action Reviews Provides a framework for teams to “learn in the moment” and transfer knowledge immediately into the work at hand, as opposed to learning
after a project or activity is complete.
Retrospectives A meeting held after a task, project, or major project milestone. These meetings can take many forms and ask probing questions aimed at
identifying valuable lessons for future work.
Communities of Practice Consists of members who voluntarily interact with each other for their pursuit of a common practice, topic, or passion. (See also “Communities
of Practice” under the Glossary of Terms).
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15. Storytelling
Conveys the essential details of an event, experience, or
emotion through a narrative structure that engages and
connects the storyteller and the listener.
Benefits
● Shares the organizational knowledge, wisdom,
and insight often missed during more formalized
knowledge sharing processes
● Offers opportunity for real-time dialogue (Q&A)
● May be facilitated or occur organically
● Nurtures existing and budding expertise
● Builds trust and interconnectivity between
participants
16. Let’s Find Out
Go to
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17. Frequency of Storytelling in the
Workplace
When asked “How frequently do you
engage in storytelling (and listening) at
work?,” my network on Linkedin shared:
● The majority (62%)
engage at least
once a week
● 23% engage less than
once a month
Based on Taylor Paschal’s
LinkedIn Poll: 31 Votes, 706 Impressions, 1 Repost
18. Storytelling Best Practices
To harness the power of storytelling for the benefit of knowledge sharing
in the workplace,
1. Know Your Audience
2. Set Your Intention
3. Show, Don’t Just Tell
4. Keep it Simple and Concise
5. Be Authentic
6. Invite Engagement
19. Listening Best Practices
To harness the power of storytelling for the benefit of knowledge sharing
in the workplace,
1. Be Present
2. Demonstrate Interest
3. Empathize
4. Listen for Meaning (Notetake)
5. Ask Clarifying Questions
6. Express Appreciation
20. ENTERPRISE KNOWLEDGE
Individual
Outcomes
Strengthen Your
Network to Advance
Your Career
Contribute to Innovation
in Support of Veterans
Tap Into the Collective for
Support
Develop personal connections in a
blend of formal and informal
methods.
Contribute to positive change with
your teammates.
Discuss ideas and improvements
connected to programs and
initiatives happening in your own
work.
21. THE RESULTS
Employees at a United Nations fund focused on helping nations adapt to
climate change experienced:
● Barriers with understanding how to translate organizational
decisions into the day-to-day workflow;
● Siloed departmental work.
● Difficulty establishing networks and allocation of onboarding
resources.
Which lead to: limited learning & collaboration opportunities; prolonged
onboarding process; degraded employee experience
● Capability to develop organic, meaningful, and supportive
relationships that span across traditional team boundaries.
● Collaborative work environment with open dialogue and learning.
● Strengthened operational efficiency by facilitating the flow of
institutional knowledge.
● A structured opportunity to promote and evolve industry-specific
Thought Leadership.
THE CHALLENGE
Org-Wide Series of
Knowledge Cafes
THE SOLUTION
22. THE RESULTS
A Construction Company based in the U.S. struggled with:
● Inconsistent project delivery;
● Lack of adherence to content-related procedures and system
purposes;
● Inability to solidify a fit-for-purpose site design and technical
infrastructure.
Which lead to: Over-Reliance on Subject Matter Experts, Change Fatigue,
Undersupported On-Site Learning, System Redundancies, Repeat Errors
Project Delivery
Communities of Practice
⬢ A strengthened alignment across all business entities on project
delivery priorities.
⬢ A structured Knowledge Sharing opportunity for members to
share expertise, experiences, and best practices.
⬢ A facilitated, continuous learning and skill development process.
⬢ A formal opportunity to network, collaborate, and innovate.
⬢ A dedicated group available for problem-solving and more
effective decision-making.
THE CHALLENGE THE SOLUTION
23. THE RESULTS
A federal agency is faced with:
● Uncertainty due to current events and political climate;
● Workforce approaching retirement with a lack of succession
management;
● Structural silos between D.C. and Field Offices;
● Lack of knowledge-sharing culture.
Which leads to: Over-Reliance on Subject Matter Experts, Change Fatigue,
Knowledge Loss, Delayed Processes, Duplicate Efforts, Lack of Trust
Senior Leadership
Offboarding
Knowledge Capture
⬢ A systematic transfer of knowledge, skills, and experience from
ensuring continuity in leadership.
⬢ Retention of institutional knowledge, including effective
practices, organizational culture, and historical insights.
⬢ Reduced risks associated with leadership turnover, such as loss of
strategic direction, decreased employee morale, and negative
impacts on performance and productivity.
THE CHALLENGE THE SOLUTION
25. ENTERPRISE KNOWLEDGE
1. Reviewed what KM ‘Is’ and ‘Isn’t’
2. Understand the Value of KM and
the Benefits of Engaging
3. Defined and Reflected on YOUR
“What’s in it for me?”
4. Shared Actionable Ways you can
Participate in Knowledge
Capture & Transfer
Outcomes
Tell Your Stories
Learn from Each Other