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.
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.
This presentation, delivered by Guillermo Galdamez at the Taxonomy Bootcamp Connect Conference, offers seven practical tips for improving taxonomy governance efforts in your organization - making sure that the taxonomy continues to grow and evolve alongside the organization, and communicating its value to stakeholders to be able to sustain support. The advice in this presentation is based on experience in taxonomy design and governance efforts across dozens of organizations of multiple sizes and various industries.
Presented by Zach Wahl, CEO, and Mary Little, Knowledge Management Practice Lead, on Thursday, April 2nd.
With the current global COVID-19 pandemic, companies big and small, global and local, have found themselves in a much different reality and have been forced into remote work situations. Knowledge Management, when well-designed and implemented, can play a major role in helping an organization maintain the three c’s of organizational health: connections, collaboration, and culture.
In this webinar, Zach Wahl and Mary Little will discuss how KM supports effective remote work, and will offer recommendations for how organizations can improve their KM and remote work immediately.
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.
Presented at KM Showcase 2019 by Todd Fahlberg (Enterprise Knowledge) and Hasan Syed (Federal Home Loan Bank of Chicago), the presentation offers a case study from FHLBC on how Syed led his organization in the design and implementation of an enterprise search tool called “Unified Search.” Further, Syed and Fahlberg discuss how FHLBC is prepared to scale the enterprise search solution to include additional repositories, address differing security needs, and measure the success of the current implementation.
Presented at Midwest KM Symposium by Guillermo Galdamez (Senior Consultant at Enterprise Knowledge), the presentation, "What's in a name? Not your Org chart", explores taxonomy design best practices, and offers usable solutions to tagging and organizing knowledge assets without relying on an organigram.
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.
This presentation, delivered by Guillermo Galdamez at the Taxonomy Bootcamp Connect Conference, offers seven practical tips for improving taxonomy governance efforts in your organization - making sure that the taxonomy continues to grow and evolve alongside the organization, and communicating its value to stakeholders to be able to sustain support. The advice in this presentation is based on experience in taxonomy design and governance efforts across dozens of organizations of multiple sizes and various industries.
Presented by Zach Wahl, CEO, and Mary Little, Knowledge Management Practice Lead, on Thursday, April 2nd.
With the current global COVID-19 pandemic, companies big and small, global and local, have found themselves in a much different reality and have been forced into remote work situations. Knowledge Management, when well-designed and implemented, can play a major role in helping an organization maintain the three c’s of organizational health: connections, collaboration, and culture.
In this webinar, Zach Wahl and Mary Little will discuss how KM supports effective remote work, and will offer recommendations for how organizations can improve their KM and remote work immediately.
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.
Presented at KM Showcase 2019 by Todd Fahlberg (Enterprise Knowledge) and Hasan Syed (Federal Home Loan Bank of Chicago), the presentation offers a case study from FHLBC on how Syed led his organization in the design and implementation of an enterprise search tool called “Unified Search.” Further, Syed and Fahlberg discuss how FHLBC is prepared to scale the enterprise search solution to include additional repositories, address differing security needs, and measure the success of the current implementation.
Presented at Midwest KM Symposium by Guillermo Galdamez (Senior Consultant at Enterprise Knowledge), the presentation, "What's in a name? Not your Org chart", explores taxonomy design best practices, and offers usable solutions to tagging and organizing knowledge assets without relying on an organigram.
Give the People What They Want: An Approach to Thoughtful KM TechnologyEnterprise Knowledge
Presented by Todd Fahlberg, Knowledge Management Consultant on May 19th, 2020.
Implementing a meaningful Knowledge Management technology brings many levels of challenges, even in the most innovative, user-centric organizations. In this session, Todd Fahlberg and Madison Jaronski will share proven practices on how to approach KM Technology broken in four phases: Gathering Requirements & Defining Personas, Leveraging Data-Driven Evaluations, Combining Quantitative and Qualitative Data to Make Holistic Decisions, and Crafting an Implementation Strategy for Success & Adoption. Lastly, Todd and Madison will offer recommendations based on experiences with past and current clients how organizations can make better, people-focused decisions when it comes to Knowledge Management technology.
Presented at KMWorld by Joe Hilger, Principal and COO of Enterprise Knowledge. Explore this presentation to learn about what knowledge graphs are, how they are implemented, and how they can be used to enhance enterprise search.
This presentation from Lulit Tesfaye covers the business case for knowledge and information management. It offers business cases and discussions of hard Return on Investment (ROI) for KM efforts.
This is the three-hour "Taxonomy 101" Presentation delivered at KMWorld 2021 (Virtual, KMWorld Connect). The presentation details taxonomy and ontology definitions, business value, and design methodologies. It also covers the concept of Knowledge Graphs in detail. Special attention is given to the differences between taxonomy and ontologies (both from a use and design perspective).
Presented at KMWorld 2018 by Mary Little (Enterprise Knowledge) and Hasan Syed (Federal Home Loan Bank of Chicago), the presentation offers a case study from FHLBC on how they have communicated the value of KM to the senior leaders of FHLBC and gained their buy-in by aligning KM initiatives to FHLBC’s overall strategic plan. This presentation showcases how they developed a KM Leadership Team for the service desk and leveraged the Leadership Team to spread the word up and across the organization about the benefits that a well-designed taxonomy, content strategy, enterprise search, and culture of collaboration can have on the productivity and engagement of its workforce.
This presentation outlines several business cases for successfully implementing enterprise knowledge graphs that will provide business value and insight. The presentation explores several different types of knowledge graphs that address varying business cases for knowledge and relationships discovery. The use cases range from serving as the basis of a recommendation engine and a future chatbot application, to allowing financial analysts to discover relationships between data fields across multiple financial forms and data series.
Practical Knowledge Management – Leveraging People, Process & Technology to E...Enterprise Knowledge
The presentation leverages several recent success stories from EK's client work to discuss current themes in Knowledge and Information Management systems design and development. It includes examples and discussion of Cloud, Agile, Taxonomy, and Change Management, amongst other themes.
This presentation delivers a detailed understanding of taxonomy definitions, taxonomy value (ROI), and taxonomy design methodologies and approaches. It was originally delivered by Zach Wahl and Tatiana Cakici of Enterprise Knowledge at Taxonomy Boot Camp 2019 in Washington, DC.
Practical Knowledge Management: Assessing Where You Are, Where You Want to Be...Enterprise Knowledge
Knowledge Management should be a critical component of any
organization's strategy, operations, and technical infrastructure.
However, many organizations continue to struggle with defining
what KM is, what they can get out of it, and how it integrates with their business. Much of this challenge is due to the fact that KM has long been an ill-defined concept, coopted by academics that fail to focus on business value. Other organizations have struggled with KM due to an inability to recognize that effective KM transcends a single discipline, integrating People, Culture, Processes, Technology, and Content throughout and between the various functions on an organization.
This session defines business-focused KM and discusses the
various aspects of Knowledge and Information Management that yield true business value. It also defines an Agile approach to understanding the current status and future needs for KM within an organization, including the introduction of EK's KM
benchmarking system for understanding where your organization should focus.
Presented at KM Showcase 2019 by Madison Jaronski (Enterprise Knowledge) and Shitalkumar Sabene (Airlines Reporting Corporation), the presentation offers a case study from ARC on how they have built a Business Intelligence Community of Practice (CoP) to connect individuals, spark innovation, and infuse collaboration into the company's culture.
Best practices, lessons learned, and examples for taxonomy governance and iteration. Developed by Enterprise Knowledge and originally presented for the Knowledge Management Institute.
Rich Mironov's keynote for one-day agile workshop. Intro to agile development and agile organizations, tools, impact on whole organization, product management and product planning. Co-sponsored by AccuRev, Coverity, Electric Cloud, Enthiosys, Rally and Agile Journal.
OmnichannelX 2021: How to Make Content a Maintainable Business Asset Through ...Enterprise Knowledge
This presentation was delivered by Yanko Ivanov, Principal Solution Consultant, on June 9th at the international OmnichannelX 2021 web conference. The content management discipline is constantly evolving, presenting content authors and strategists with new challenges in content maintenance efforts and delivering tailored user experiences through multi-channel publishing. In his presentation, Ivanov explained how to approach these challenges and explored the value of combining componentized content with a rich taxonomy and ontology.
Leveraging KM and the Foundation for Artificial IntelligenceEnterprise Knowledge
This presentation by EK's Zach Wahl, originally presented at the annual DoD/Federal KM Symposium on May 15, 2019, discusses how knowledge management serves as a key foundation for Knowledge AI.
This workshop presentation from Enterprise Knowledge team members Joe Hilger, Founder and COO, and Sara Nash, Technical Analyst, was delivered on June 8, 2020 as part of the Data Summit 2020 virtual conference. The 3-hour workshop provided an interdisciplinary group of participants with a definition of what a knowledge graph is, how it is implemented, and how it can be used to increase the value of your organization’s datas. This slide deck gives an overview of the KM concepts that are necessary for the implementation of knowledge graphs as a foundation for Enterprise Artificial Intelligence (AI). Hilger and Nash also outlined four use cases for knowledge graphs, including recommendation engines and natural language query on structured data.
Give the People What They Want: An Approach to Thoughtful KM TechnologyEnterprise Knowledge
Presented by Todd Fahlberg, Knowledge Management Consultant on May 19th, 2020.
Implementing a meaningful Knowledge Management technology brings many levels of challenges, even in the most innovative, user-centric organizations. In this session, Todd Fahlberg and Madison Jaronski will share proven practices on how to approach KM Technology broken in four phases: Gathering Requirements & Defining Personas, Leveraging Data-Driven Evaluations, Combining Quantitative and Qualitative Data to Make Holistic Decisions, and Crafting an Implementation Strategy for Success & Adoption. Lastly, Todd and Madison will offer recommendations based on experiences with past and current clients how organizations can make better, people-focused decisions when it comes to Knowledge Management technology.
Presented at KMWorld by Joe Hilger, Principal and COO of Enterprise Knowledge. Explore this presentation to learn about what knowledge graphs are, how they are implemented, and how they can be used to enhance enterprise search.
This presentation from Lulit Tesfaye covers the business case for knowledge and information management. It offers business cases and discussions of hard Return on Investment (ROI) for KM efforts.
This is the three-hour "Taxonomy 101" Presentation delivered at KMWorld 2021 (Virtual, KMWorld Connect). The presentation details taxonomy and ontology definitions, business value, and design methodologies. It also covers the concept of Knowledge Graphs in detail. Special attention is given to the differences between taxonomy and ontologies (both from a use and design perspective).
Presented at KMWorld 2018 by Mary Little (Enterprise Knowledge) and Hasan Syed (Federal Home Loan Bank of Chicago), the presentation offers a case study from FHLBC on how they have communicated the value of KM to the senior leaders of FHLBC and gained their buy-in by aligning KM initiatives to FHLBC’s overall strategic plan. This presentation showcases how they developed a KM Leadership Team for the service desk and leveraged the Leadership Team to spread the word up and across the organization about the benefits that a well-designed taxonomy, content strategy, enterprise search, and culture of collaboration can have on the productivity and engagement of its workforce.
This presentation outlines several business cases for successfully implementing enterprise knowledge graphs that will provide business value and insight. The presentation explores several different types of knowledge graphs that address varying business cases for knowledge and relationships discovery. The use cases range from serving as the basis of a recommendation engine and a future chatbot application, to allowing financial analysts to discover relationships between data fields across multiple financial forms and data series.
Practical Knowledge Management – Leveraging People, Process & Technology to E...Enterprise Knowledge
The presentation leverages several recent success stories from EK's client work to discuss current themes in Knowledge and Information Management systems design and development. It includes examples and discussion of Cloud, Agile, Taxonomy, and Change Management, amongst other themes.
This presentation delivers a detailed understanding of taxonomy definitions, taxonomy value (ROI), and taxonomy design methodologies and approaches. It was originally delivered by Zach Wahl and Tatiana Cakici of Enterprise Knowledge at Taxonomy Boot Camp 2019 in Washington, DC.
Practical Knowledge Management: Assessing Where You Are, Where You Want to Be...Enterprise Knowledge
Knowledge Management should be a critical component of any
organization's strategy, operations, and technical infrastructure.
However, many organizations continue to struggle with defining
what KM is, what they can get out of it, and how it integrates with their business. Much of this challenge is due to the fact that KM has long been an ill-defined concept, coopted by academics that fail to focus on business value. Other organizations have struggled with KM due to an inability to recognize that effective KM transcends a single discipline, integrating People, Culture, Processes, Technology, and Content throughout and between the various functions on an organization.
This session defines business-focused KM and discusses the
various aspects of Knowledge and Information Management that yield true business value. It also defines an Agile approach to understanding the current status and future needs for KM within an organization, including the introduction of EK's KM
benchmarking system for understanding where your organization should focus.
Presented at KM Showcase 2019 by Madison Jaronski (Enterprise Knowledge) and Shitalkumar Sabene (Airlines Reporting Corporation), the presentation offers a case study from ARC on how they have built a Business Intelligence Community of Practice (CoP) to connect individuals, spark innovation, and infuse collaboration into the company's culture.
Best practices, lessons learned, and examples for taxonomy governance and iteration. Developed by Enterprise Knowledge and originally presented for the Knowledge Management Institute.
Rich Mironov's keynote for one-day agile workshop. Intro to agile development and agile organizations, tools, impact on whole organization, product management and product planning. Co-sponsored by AccuRev, Coverity, Electric Cloud, Enthiosys, Rally and Agile Journal.
OmnichannelX 2021: How to Make Content a Maintainable Business Asset Through ...Enterprise Knowledge
This presentation was delivered by Yanko Ivanov, Principal Solution Consultant, on June 9th at the international OmnichannelX 2021 web conference. The content management discipline is constantly evolving, presenting content authors and strategists with new challenges in content maintenance efforts and delivering tailored user experiences through multi-channel publishing. In his presentation, Ivanov explained how to approach these challenges and explored the value of combining componentized content with a rich taxonomy and ontology.
Leveraging KM and the Foundation for Artificial IntelligenceEnterprise Knowledge
This presentation by EK's Zach Wahl, originally presented at the annual DoD/Federal KM Symposium on May 15, 2019, discusses how knowledge management serves as a key foundation for Knowledge AI.
This workshop presentation from Enterprise Knowledge team members Joe Hilger, Founder and COO, and Sara Nash, Technical Analyst, was delivered on June 8, 2020 as part of the Data Summit 2020 virtual conference. The 3-hour workshop provided an interdisciplinary group of participants with a definition of what a knowledge graph is, how it is implemented, and how it can be used to increase the value of your organization’s datas. This slide deck gives an overview of the KM concepts that are necessary for the implementation of knowledge graphs as a foundation for Enterprise Artificial Intelligence (AI). Hilger and Nash also outlined four use cases for knowledge graphs, including recommendation engines and natural language query on structured data.
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.
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.
Making KM Clickable: The Rapidly Changing State of Knowledge ManagementEnterprise Knowledge
Initially delivered for the Bangalore K-Community Zoom Meetup: “The Digital Edge: Tech Roadmaps and Impacts on KM on June 15th, this deck covers the key takeaways from the leading Knowledge Management book, 'Making Knowledge Management Clickable,' by Zach Wahl and Joe Hilger of Enterprise Knowledge. The presentation covers definitions and value of KM, offers best practices on KM systems, details key types of KM technologies, and discusses some of the common types of KM solutions such as KM Portals and Knowledge Graphs.
Skillslive is a learner-centric Learning Management System (LMS) and Learning Record Store (LRS) that is designed to help organisations increase learning engagement while enhancing an individual’s learning outcomes and improved organisational performance.
Skillslive enables on-demand education and contextual learning, collecting data and presenting analytics and insights to provide a 360° view within an organisation's learning ecosystem. Skillslive contributes to creating visibility across an organisation, its employees and contractors, plus aligning learning pathways with professional development, competencies, compliance, certification and accreditation.
Skillslive remains innovative and at the forefront of education technologies. Focusing on corporate learning ecosystems and the benefits that big data will contribute to creating visibility across an entire organisation at a local and global level. Additionally, the utilisation of cognitive systems that are able to exhibit adaptive, proactive and emotive behaviour. When implemented in support of educational activities a connection between communities and the process of learning, content delivery, assessment and collaboration can all be individualised, measured and presented in an enterprise dashboard. What drives this process is a common cognitive framework that humans use to inform their decisions: Observe, Interpret, Evaluate, and Decide.
The Skillslive Digital Learning Solution has identified with the need for a software application upon which an individual can engage with content through self-organised educational models, benefit from proven social collaboration and be encouraged through the sharing of their efforts with industry professional mentors and peer groups. The purpose of this tool is to assemble the large concepts of education and make them more accessible and consumable by the individual.
Skillslive Pty Ltd was recently acquired by Loft Ventures Pty Ltd. Loft Ventures has a portfolio of technology companies focused on global opportunities though cloud infrastructure and scalable technology. Skillslive was formed to execute a global commercialisation strategy for the Loft Group Digital Education Platform.
Read the latest Product Deck for the SkillsLive LMS. SkillsLive is a learner-centric Learning Management System (LMS) and Learning Record Store (LRS) that is designed to help organisations increase learning engagement while enhancing an individual’s learning outcomes and improved organisational performance.
Designing IA for AI - Information Architecture Conference 2024Enterprise Knowledge
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.
Competencies and Job Assessment of Information Professionals in the 21st CenturyShirley Ingles-Cruz
This article is primarily based on the “Competencies for Information Professionals (IP) of the 21st Century” prepared for the Special Libraries Association Board of Directors which has been constantly updated and reviewed by the Special Committee on Competencies for Special Librarians.
It is a general idea as well as a comparative analysis of competencies required of IPs to have a better understanding of what is expected of them in the 21st century.
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.
Enterprise Search White Paper: Increase Your Competitiveness - Make a Knowled...Findwise
With data volumes growing by 200 percent a year, knowledge workers are spending around 30 percent of their time trying to extract useful information. Furthermore a recent U.S. study asserted that knowledge workers spend more than twice as much time re-creating already created content as they spend creating new content. In addition to this time spent on maintaining structures for storing incoming unstructured information (e.g. mail, documents etc) is increasing rapidly.
Enabling search solutions makes information easy to find, however the key is to transform this information into knowledge. This is normally not done by simple intranet search functionality, however the intranet portal can act as a portal to a knowledge management system based on advanced search functionality withadded collaborative functions. This transforms your organization into a “knowledge finding organization”, creating an even more competitive organization.
Knowledge Management systems based on an Enterprise Search Platform (ESP) can, if implemented properly, significantly improve the efficiency of an organization. IDC Research suggests in their latest report (April 2006) “Hidden cost of information Work” that the cost for wasted time on the part of professional searching, but not finding relevant information, amounts to $5.3 million annually for an enterprise with 1000 knowledge workers.
Artificial Intelligence & Business Application.pptxShamraoGhodake2
*Artificial Intelligence- Introduction, use of Artificial Intelligence in Management
Machine Learning.
*Knowledge Management: Concept
*KM Strategies – Architecture and Tools – KM Practices.
*Components and Type of Knowledge , Knowledge Building Models
*KM Cycle & KM architecture, KM tools, KM approaches
*VUCA: Introduction to Volatility, Uncertainty, Complexity,
*Ambiguity (VUCA) –Significance – Challenges in Business - digitalization, globalization, and social inclusion,
*Quantum Computing, Big Data, 5G Ecosystem and its Impact,
*Virtual reality (VR) and augmented reality (AR).
Gives an overview on knowledge and knowledge management. Discusses the various knowledge management processes and systems necessary for effective knowledge management practice.
Learning 360: Crafting a Comprehensive View of Learning by Using a GraphEnterprise Knowledge
Chris Marino, a Principal Solution Consultant at Enterprise Knowledge (EK), was a featured speaker at this year's Data Architecture Online event organized by Dataversity. Marino presented his webinar "Learning 360: Crafting a Comprehensive View of Learning Content Using a Graph" on July 20, 2022. In his presentation, Marino took participants through the entire Graph development process, including planning, designing, and developing the new tool, highlighting benefits to the organization and lessons learned throughout the process.
Translating AI from Concept to Reality: Five Keys to Implementing AI for Know...Enterprise Knowledge
Lulit Tesfaye explains how foundational knowledge management and knowledge engineering approaches can play a key role in ensuring enterprise Artificial Intelligence (AI) initiatives start right, quickly demonstrate business value, and “stick” within the organization. The presentation includes real world case studies and examples of how organizations are approaching their data and AI transformations through knowledge maturity models to translate organizational information and data into actionable and clickable solutions. Originally delivered at data.world Summit, Spring 2022.
Is collaboration the future of business IT? - Patrick Bolger, HornbillSITS - The ITSM Show
To improve IT agility and value, we must change the way we work. Getting closer to customers is hard enough when you’re in the same building, but is tougher still when working across different borders and cultures. Collaboration technologies could provide the answer, but before you consider adoption, this session will help you ask the right questions.
Similar to Leveraging KM as the Foundation for AI (20)
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.
Driving Behavioral Change for Information Management through Data-Driven Gree...Enterprise Knowledge
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?
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfEnterprise Knowledge
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:
- The essence and purpose of taxonomies and ontologies in information and knowledge management;
- Advantages of semantic layers leveraging organizational taxonomies; and
- Components and approaches to creating a semantic layer, including the integration of taxonomies and ontologies
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
Nonprofit KM Journey to Success: Lessons and Learnings at Feeding AmericaEnterprise Knowledge
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.
DGIQ - Case Studies_ Applications of Data Governance in the Enterprise (Final...Enterprise Knowledge
Thomas Mitrevski, Senior Data Management and Governance Consultant and
Lulit Tesfaye, Partner and Vice President of Knowledge and Data Services
presented “Case Studies: Applications of Data Governance in the Enterprise” on December 6th, 2023 at DGIQ in Washington D.C.
In this presentation, Thomas and Lulit detailed their experiences developing strategies for multiple enterprise-scale data initiatives and provided an understanding of common data governance and maturity needs. Thomas and Lulit based their talk on real-world examples and case studies and provided the audience with examples of achieving buy-in to invest in governance tools and processes, as well as the expected return on investment (ROI).
Check out the presentation below to learn:
How Leading Organizations are Benchmarking Their Data Governance Maturity
Why End-User Training was Imperative in Seeing Scaled Governance Program Adoption
Which Tools and Frameworks were Critical in Getting Started with Data Governance
How Organizations Achieved Success with Data Governance in Under 12 Weeks
What Successful Data Governance Implementation Roadmaps Really Look Like
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?”
How to Quickly Prototype a Scalable Graph Architecture: A Framework for Rapid...Enterprise Knowledge
Sara Nash and Thomas Mitrevski discuss the toolkit to scope and execute knowledge graph prototypes successfully in a matter of weeks. The framework discussed includes the development of a foundational semantic model (e.g. taxonomies/ontologies) and resources and skill sets needed for successful initiatives so that knowledge graph products can scale, as well as the data architecture and tooling required (e.g., orchestration and storage) for enterprise-scale implementation. This presentation was originally delivered at KGC 2022 in Boston, MA.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
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.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
3. Highly internalized,
gained through
professional,
educational, and
personal experience
that has not yet
been recorded or
captured.
Knowledge that has been
made visible by capturing,
recording, or embedding it in
databases, documents, and
processes.
Structured
Easy for systems and
machines to read and process.
More difficult for human users
to understand without
underlying context.
Unstructured
Generally easy for human
users to read and understand,
but more difficult for machines
to use and process.
Tacit Explicit
FORMS OF KNOWLEDGE
4. FIND
CAPTURE
ACT
KM LIFECYCLE
Knowledge and Information
Management (KM) efforts exist on
the same spectrum, with
knowledge moving from tacit to
explicit, and then content moving
from unstructured to structured.
The most effective KM efforts are
those that are driven by business
value and end user needs.
KM can offer immediate value while
laying the foundation for advanced
search, customized knowledge
experience, and artificial intelligence.
@EKCONSULTING
5. BUSINESS OUTCOMESKM OUTCOMES
▪ Improved findability and discoverability of
content.
▪ Less time waiting, searching, and recreating
knowledge.
▪ Increased use and reuse of information.
▪ Decreased knowledge loss.
▪ Improved organizational awareness and
alignment.
▪ Culture of knowledge sharing.
▪ Enhanced quality, availability, and speed of
learning.
▪ Increased awareness of, and connection to,
experts.
▪ Improved productivity.
▪ Decreased cost (and cost avoidance).
▪ Increased employee satisfaction and
retention.
▪ Faster and better up-scaling of
employees.
▪ Improved customer satisfaction and
retention.
▪ Improved execution.
▪ Improved sales.
▪ Increased collaboration and innovation.
▪ Future readiness.
@EKCONSULTING
6. KM FOUNDATIONS
FOR AI
WHY KM MATTERS
CONTENT CLEANUP
CONTENT GOVERNANCE
TAXONOMY DESIGN
CONTENT TYPES
KNOWLEDGE SHARING
CULTURE
KM LEADERSHIP
@EKCONSULTING
7. TAXONOMY DESIGN
WHAT IS TAXONOMY DESIGN? WHAT IS THE VALUE TO AI?
Classification of an
organization's knowledge
and information for the
purposes of findability and
discoverability.
An effective business
taxonomy will span an
enterprise’s information,
users, and potential needs
as it is usable, intuitive, and
natural.
Ensure faceting works and
different types of content from
different sources can be
seamlessly integrated.
Provide a way for the
machine to understand an
organization’s vocabulary.
Taxonomies are the building
blocks to Ontologies, which
are foundational for building
relationships and context.
Ensures an organization
can effectively capture,
manage, and present their
growing store of
information.
Provides structure to
unstructured information.
Informs metadata and
content tagging efforts.
WHAT IS THE
INDEPENDENT VALUE?
@EKCONSULTING
8. CONTENT CLEANUP
WHAT IS CONTENT CLEANUP? WHAT IS THE
INDEPENDENT VALUE?
WHAT IS THE VALUE TO AI?
The review and cleaning of
outdated, obsolete,
incorrect, and duplicative
content.
Determine if content should
be maintained as-is,
updated, archived, or
removed.
Cleaned and enhanced
content, with tags, ensures
the right content surfaces for
the end user and is weighted
appropriately.
AI requires training
material. An organization
needs to provide quality
training material so that it
can get to a high quality
machine.
Improved KM is worthless
without the right information.
Increases productivity as
employees spend less time
shifting through inaccurate
and/or not actionable
content.
Decreases risk as
employees are presented
with accurate content.“Only 20-30% of all content stores should
be maintained during a content migration.”
@EKCONSULTING
9. CONTENT TYPES
WHAT IS A CONTENT TYPE? WHAT IS THE
INDEPENDENT VALUE?
WHAT IS THE VALUE TO AI?
The process of defining
common or standard
templates for the types of
content users interact with
within a specific system.
Includes the definition of
text fields and description
of what information should
be found in each field as
well as the definition of
which metadata fields apply
to a specific template.
Allows AI to surface
appropriate elements of
content in the most flexible
manner possible.
Enables different types of
content to be mapped
intelligently.
Enables granular tagging
for greater relationship
identification.
Standardizes and optimizes
the way content is captured
and presented, ensuring it
remains “fresh” and
accurate to best serve the
needs of the organization.
Decreases the amount of
time required to create new
content.
Increases the readability
and digestibility of content.
@EKCONSULTING
10. CONTENT GOVERNANCE
WHAT IS
CONTENT GOVERNANCE?
WHAT IS THE
INDEPENDENT VALUE?
WHAT IS THE VALUE TO AI?
A common set of standards
and processes that are
designed to maintain and
consistently improve the
content over time.
An effective governance
plan includes:
- Business Case
- Roles and Responsibilities
- Policies and Procedures
- Communication, Education,
and Marketing
Ensures accuracy of the
content.
Ensures the accuracy of
the ontology model.
Enables the appropriate
controls and flexibility to
serve evolving needs, user
behaviors, and clearer user
understanding.
Enables ongoing content
management and
continuous improvement of
content over time.
Increases the effectiveness
of the organization’s
content strategy efforts in
order to meet its business
objectives.
@EKCONSULTING
11. KM LEADERSHIP
WHAT IS KM LEADERSHIP? WHAT IS THE
INDEPENDENT VALUE?
WHAT IS THE VALUE TO AI?
Enables and promotes
knowledge processes such
as knowledge creation,
transfer, and dissemination,
and creates
environment/culture/
atmosphere which
stimulates and facilitates
active engagement in these
processes.
With KM Leadership, an
organization can better
strategize, budget, and
champion for the
implementation of the KM
elements foundational for
actionable AI.
Promotes the acceptance
of a new culture, drives
adoption, and integrated
change.
Promotes the value of
sound and systematic
knowledge sharing by
modeling best-practices,
signaling the strategic
importance of the
investment.
Encourages, recognizes,
and rewards knowledge
sharing in support of the
sustainment of KM efforts.
@EKCONSULTING
12. KNOWLEDGE SHARING CULTURE
WHAT IS A KNOWLEDGE
SHARING CULTURE?
WHAT IS THE
INDEPENDENT VALUE?
WHAT IS THE VALUE TO AI?
An organization that builds
knowledge sharing into the
day-to-day behaviors and
actions of its workforce.
Includes user-centric
processes and concepts,
such as Gamification, to
ignite collaboration and
learning.
Surfaces the newly shared
knowledge in a form that is
easy to find and discover.
All of the right knowledge is
seeded in the right place to
add the value.
Knowledge must be captured
to be related and surfaced.
Faster knowledge
dissemination.
Keeps knowledge workers
engaged, increases
productivity and innovation,
and fosters continuous
learning and growth.
Rewards good behavior.
@EKCONSULTING
13. FIVE LEVELS OF KAI
KNOWLEDGE ARTIFICIAL INTELLIGENCE (KAI)
IS THE APPLICATION OF ARTIFICIAL INTELLIGENCE CONCEPTS AND
THEORIES TO ENSURE THE APPROPRIATE CAPTURE, MANAGEMENT,
AND PRESENTATION OF THE FULL SPECTRUM OF KNOWLEDGE AND
INFORMATION.
@EKCONSULTING
14. FIVE LEVELS OF KAI
ANSWER
▪ Basic query/response capabilities.
▪ Action-oriented search, chatbots, and voice assistants.
@EKCONSULTING
15. FIVE LEVELS OF KAI
RECOMMEND
▪ Recommendations based on user behavior, tags,
analytics, and a combination thereof.
▪ “Push” capabilities to go beyond finding and enabling
discovery.
@EKCONSULTING
16. FIVE LEVELS OF KAI
▪ Combination of different types, formats, and sources of
content into a contextualized whole.
▪ Integrates parts and wholes of individual content types in
order to provide a cohesive answer.
COMBINE
@EKCONSULTING
17. FIVE LEVELS OF KAI
INFER
▪ Goes a step beyond Combine and introduces
programmed decision-making logic into the mix.
▪ Triggered based on intelligence or prompts in order to
build new content that doesn’t just answer a query, but
answers a need/want.
▪ Results in the creation of new content, highly customized
for a specific user or case.
@EKCONSULTING
18. FIVE LEVELS OF KAI CONT.
▪ Incorporates predictive capabilities to spot trends, identify
potential risks and opportunities, and provide actionable
guidance leveraging a complete view and understanding
of the knowledge and information that exists.
▪ Generates and surfaces the right knowledge before you
even know you need it.
▪ Spots demographic trends to fill gaps and needs before
they exist.
ADVISE
@EKCONSULTING
20. KNOWLEDGE GRAPHS
Another word for graphs are “networks”
Nodes
Edges
• A knowledge graph: a network of the
things we want to describe and how they
are related
• We construct a semantic model since
we want to capture and generate
meaning with the model
Google’s knowledge graph is a
popular use case
“The application of graph processing and graph DBMSs will
grow at 100 percent annually through 2022 to continuously
accelerate data preparation and enable more complex and
adaptive data science.”
– Gartner’s Top 10 Data and Analytics
Technology Trends for 2019
@EKCONSULTING
21. WHAT IS A KNOWLEDGE GRAPH
Content Sources
Subject Predicate Object
Project A hasTitle Title A
Person B isPMOn Project A
Document C isAbout Topic D
Document C isAbout Topic F
Person B IsExpertIn Topic D
… … …
Business Ontology
Graph Database
Enterprise
Knowledge Graph
Business Taxonomy
Person B
Project A
Document C
Person F
Topic D
Topic E
@EKCONSULTING
22. BENEFITS OF A KNOWLEDGE GRAPH
Understanding Context
Relationships between
information allows gives us a
better understanding of how
things fit together so that search
can be more precise.
Structured and
Unstructured Information
Graphs allow for the integration of
structured and unstructured
information so that users can
search for data and content at the
same time.
Natural Language Search
Graphs store information the way
people speak. Integrating a
graph into your search makes
natural language search easier to
implement.
Aggregation
Graphs allow for aggregation of
information from multiple
disparate solutions so that search
results can display information
that exists in multiple locations
and formats.
@EKCONSULTING
23. HOW DO I GET STARTED
Educate the organization on how AI can and should work.
Investigate the products and tools that you have access to that
can automate information management.
Inventory your content to understand what you have and how to
organize it.
Start small and then grow.
@EKCONSULTING
24. WE’LL BE ANSWERING QUESTIONS NOW
Q A&
THANKS FOR LISTENING
Q & A SESSION
@EKCONSULTING
25. CONTACT US
JOE HILGER
JHILGER@ ENTERPRISE-KNOWLEDGE.COM
571-436-0271
ZACH WAHL
ZWAHL@ ENTERPRISE-KNOWLEDGE.COM
571-800-9803