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.
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.
UNDP Presentation: How to Develop a Successful KM StrategyJohannes Schunter
This is a generic presentation outlining rationale, success factors and 9 practical steps for developing a corporate knowledge management strategy, based on the example of the United Nations Development Programme.
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.
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.
Organizing Knowledge: A Knowledge Manager’s Primer to Taxonomy DevelopmentArt Schlussel
Organizing Knowledge - A Knowledge Manager’s Primer to Taxonomy Development
Attribution: Thanks to Patrick Lambe, author, Organising Knowledge: Taxonomies,
Knowledge and Organizational Effectiveness, Chandos Publishing 2007 for much of the content in this presentation.
Organizations across the world are grappling with how to maximize the knowledge that their employees have access to. They face similar core business challenges related to knowledge management (KM):
- Staff can’t easily find useful and relevant information, when they need it.
- There is a lack of trust that the information their staff come across is complete, up-to-date, and accurate.
- Collaboration is hindered by silos.
- Expertise, best practices, and lessons learned aren’t exchanged in a way that could drive innovation and creativity.
- Knowledge is “walking out the door” when people leave.
- Onboarding processes aren’t supporting new staff in getting acclimated effectively.
While many organizations face similar business challenges, how these challenges emerge and look within an organization vary based on its culture and operating environment. In this presentation, Mary Little, Practice Lead, and Kristin McNally, Senior Consultant, of Enterprise Knowledge, share methods and proven practices in assessing an organization’s KM maturity, surfacing their primary KM challenges, and defining a roadmap to their KM goals that is framed within the context of their business.
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.
UNDP Presentation: How to Develop a Successful KM StrategyJohannes Schunter
This is a generic presentation outlining rationale, success factors and 9 practical steps for developing a corporate knowledge management strategy, based on the example of the United Nations Development Programme.
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.
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.
Organizing Knowledge: A Knowledge Manager’s Primer to Taxonomy DevelopmentArt Schlussel
Organizing Knowledge - A Knowledge Manager’s Primer to Taxonomy Development
Attribution: Thanks to Patrick Lambe, author, Organising Knowledge: Taxonomies,
Knowledge and Organizational Effectiveness, Chandos Publishing 2007 for much of the content in this presentation.
Organizations across the world are grappling with how to maximize the knowledge that their employees have access to. They face similar core business challenges related to knowledge management (KM):
- Staff can’t easily find useful and relevant information, when they need it.
- There is a lack of trust that the information their staff come across is complete, up-to-date, and accurate.
- Collaboration is hindered by silos.
- Expertise, best practices, and lessons learned aren’t exchanged in a way that could drive innovation and creativity.
- Knowledge is “walking out the door” when people leave.
- Onboarding processes aren’t supporting new staff in getting acclimated effectively.
While many organizations face similar business challenges, how these challenges emerge and look within an organization vary based on its culture and operating environment. In this presentation, Mary Little, Practice Lead, and Kristin McNally, Senior Consultant, of Enterprise Knowledge, share methods and proven practices in assessing an organization’s KM maturity, surfacing their primary KM challenges, and defining a roadmap to their KM goals that is framed within the context of their business.
Strategic Operating Model Defines How a Company Looks and Works. This document gives a good overview of the the various aspects of the concept including:
1. Understand the Linkage Between Strategy and an Operating Model.
2. Recognize the Key Components of a Company’s Operating Model.
3. Familiarize Use of Operating Models to Make Comparisons Across Companies.
Customer Journey Mapping: Mapping the university admissions experience across...PeakXD
In this talk Donna and Clarissa showed how to conduct journey mapping workshops with actual customers and use this as a basis for service design to improve the customer experience. They took us through a case study from a nationwide research project Peak undertook in 2017 for the Australian Government Department of Education and Training to research the needs and experience of prospective higher education students.
When it comes to creating an enterprise AI strategy: if your company isn’t good at analytics, it’s not ready for AI. Succeeding in AI requires being good at data engineering AND analytics. Unfortunately, management teams often assume they can leapfrog best practices for basic data analytics by directly adopting advanced technologies such as ML/AI – setting themselves up for failure from the get-go. This presentation explains how to get basic data engineering and the right technology in place to create and maintain data pipelines so that you can solve problems with AI successfully.
Your Challenge:
Implementing a shared services model is a difficult process to undertake, and is comprised of many different components. Becoming a shared services provider is comparable to becoming a vendor and most IT groups don’t have the capabilities to easily make the transition.
Most companies look to achieve cost reductions through offering a shared services model. Adopting a shared services model doesn’t always result in these intended cost reductions. Simply combining the operations of two IT organizations doesn’t necessarily result in economies of scale and cost efficiencies. Before leaping forward with your shared services implementation, determine if the project will deliver value to your organization.
Our Advice - Critical Insight:
Implementing a shared services model needs to be viewed as more than simply extending a current service to other sites. The organization providing services essentially turns into a vendor. As a vendor, think of the IT service you’re offering as the “product.”
Remember that there are people, process, and technology capability pre-requisites to successfully becoming a shared services provider. These capabilities are not typical for the average IT shop, and need to be taken into consideration when you look to transition to a shared services model.
Our Advice - Impact and Result:
Before jumping into the implementation of your shared services project, assess your customer requirements and your current people, process, and technology capabilities to assess whether your organization is ready to implement a shared services model.
Understand the financial implications of moving to a shared services model prior to implementing. Make sure there is a strong case for implementation.
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.
Enterprise Digital Transformation Powerpoint Presentation SlidesSlideTeam
"You can download this product from SlideTeam.net"
Presenting this set of slides with name Enterprise Digital Transformation Powerpoint Presentation Slides. Enhance your audiences knowledge with this well researched complete deck. Showcase all the important features of the deck with perfect visuals. This deck comprises of a total of twenty-five slides with each slide explained in detail. Each template comprises of professional diagrams and layouts. Yes, these PPT slides are completely customizable. Edit the color, text, and font size. Add or delete the content from the slide. Users can easily download the presentation slides in the widescreen and standard format. These templates are compatible with Google Slides too. The user can use the PowerPoint presentation in PDF or JPG format. https://bit.ly/33KF6jk
Best practices, lessons learned, and examples for taxonomy governance and iteration. Developed by Enterprise Knowledge and originally presented for the Knowledge Management Institute.
Solution Architecture And (Robotic) Process Automation SolutionsAlan McSweeney
Automation is a technology trend IT architects should be aware of and know how to respond to business requests as well as recommend automation technologies and solutions where appropriate. Automation is a bigger topic than just RPA (Robotic Process Automation).
Automation solutions, like all other technology solutions, should be subject to an architecture and design process. There are many approaches to and options for the automation of business activities. Too often automation solutions are tactical applications layered over existing business systems
The objective of all IT solutions is to automate manual business processes and their activities to a certain extent. The requirement for RPA-type applications arises in part because of automation failures within existing applications or the need to automate the interactions with or integrations between separate, possibly legacy, applications.
One of the roles of IT architecture is to always seek to take the wider architectural view and to ensure that solutions are designed and delivered within a strategic framework to avoid, as much as is practical and realistic, short-term tactical solutions and approaches that lead to an accumulation of design, operations and support debt. Tactical solutions will always play a part in the organisation’s solution landscape.
The objective of these notes is to put automation into its wider and larger IT architecture context while accepting the need for tactical approaches in some instances.
These notes cover the following topics:
• Solution And Process Automation – The Wider Technology And Approach Landscape
• Business Processes, Business Solutions And Automation
• Organisation Process Model
• Strategic And Tactical Automation
• Deciding On The Scope Of Automation
• Digital Strategy, Digital Transformation And Automation
• Specifying The Automation Solution
• Business Process Model and Notation (BPMN)
• Sample Business Process – Order To Cash
• RPA (Robotic Process Automation)
Thabo Ndlela- Leveraging AI for enhanced Customer Service and Experienceitnewsafrica
Thabo Ndlela, from Accenture, delivered a keynote on Leveraging AI for enhanced Customer Service and Experience at Digital Finance Africa 2023 on the 2nd of August 2023.
Knowledge management has to be seen within the context of business strategy and business need. It is not an end itself, but a tool to deliver better business performance, and this view is crucial to developing and crafting an effective KM strategy.
This session covers: creating a strategy to give direction to a KM program, recognizing business drivers, clarifying strategic knowledge areas for the organization, and finding and defining key stakeholders who need to be involved.
The 10-Step Knowledge Management Road map
They copied all that they could follow but they could not copy my mind, and I left 'em sweating and stealing and a year and half behind —Rudyard Kipling.
IN THIS CHAPTER
• Understand the 10-step knowledge management roadmap and how it applies to your company.
• Understand the four phases constituting these 10 steps: infrastructural evaluation; KM system analysis, design, and development; deployment; and evaluation.
• Understand where each step takes you.
• Articulate a clear link between KM and business strategy to maximize performance and impact on your company's bottom line.
• Learn how to prioritize KM processes to maximize business impact.
• Understand the key steps involved in knowledge auditing, knowledge mapping, strategic grounding, deployment methodology, teaming, change management, and ROI metrics formation.
Knowledge management is a complex activity, and like anything else that cannot deliver business impact without a concrete plan, it needs a perfect plan. This chapter introduces that plan: the 10-step knowledge management roadmap that will guide you through the entire process of creating a business-driven knowledge management strategy, designing, developing, and implementing a knowledge management system and effecting the soft changes that are required to make them work—with your company in mind. I chose to describe this plan as a roadmap rather than relegating it to the status of a methodology. A methodology undermines the level of complexity that is actually involved in managing knowledge and gives it a deceptive look of a cookie-cutter formulation.
May your competitors who thought that bleeding-edge technology was their nirvana rest in peace. For nothing—no technology, no market share, no product, and no monopoly— can ever provide a competitive advantage that is anything but temporary: They can all be copied, sometimes easily and sometimes with a little effort. Knowledge is the only resource that cannot be easily copied. Knowledge is much like copy protection: Even if your competitors get to it, they cannot apply it, for knowledge is protected by context in as copy-protected software is protected by encryption.
This strengthening idiosyncrasy of knowledge also has a negative implication for you: You cannot easily copy a competitor's knowledge management strategy and system.
Examples from your industry's leaders can be useful for understanding knowledge management, but they cannot show you the right way to do it. For these reasons, your
knowledge management system and knowledge management strategy will have to be unique to your company.
What follows in the next four sections of this book is an explication of the roadmap—not imitable methodology—that will help focus on your own company and develop a
knowledge strategy whose results are hard hitting, but one that no competitor can easily duplicate. They can co
Digital Transformation From Strategy To ImplementationScopernia
Creating a digital transformation strategy is one thing but how do you put the insights and plans into practice. This presentation deals with vision, strategy, roadmap, governance, leadership, channel hacking, start-up-thinking and many more issues.
Your Challenge
Organizations have to adapt to a growing number of trends, putting increased pressure on IT to move at the same speed as the business.
The business, seeing that IT is slower to react, looks to external solutions to address its challenges and capitalize on opportunities.
IT and business leaders don’t have a clear and unified understanding or definition of an operating model.
Our Advice
Critical Insight
The IT operating model is not a static entity and should evolve according to changing business needs.
However, business needs are diverse, and the IT organization must recognize that the business includes groups that consume technology in different patterns. The IT operating model needs to support and enable multiple groups, while continuously adapting to changing business conditions.
Impact and Result
Determine how each technology consumer group interacts with IT. Use consumer experience maps to determine what kind of services consumer groups use and if there are opportunities to improve the delivery of those services.
Identify how changing business conditions will affect the consumption of technology services. Classify your consumers based on business uncertainty and reliance on IT to plan for the future delivery of services.
Optimize the IT operating model. Create a target IT operating model based on the gathered information about technology service consumers. Select different implementations of common operating model elements: governance, sourcing, process, and structure.
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.
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.
Strategic Operating Model Defines How a Company Looks and Works. This document gives a good overview of the the various aspects of the concept including:
1. Understand the Linkage Between Strategy and an Operating Model.
2. Recognize the Key Components of a Company’s Operating Model.
3. Familiarize Use of Operating Models to Make Comparisons Across Companies.
Customer Journey Mapping: Mapping the university admissions experience across...PeakXD
In this talk Donna and Clarissa showed how to conduct journey mapping workshops with actual customers and use this as a basis for service design to improve the customer experience. They took us through a case study from a nationwide research project Peak undertook in 2017 for the Australian Government Department of Education and Training to research the needs and experience of prospective higher education students.
When it comes to creating an enterprise AI strategy: if your company isn’t good at analytics, it’s not ready for AI. Succeeding in AI requires being good at data engineering AND analytics. Unfortunately, management teams often assume they can leapfrog best practices for basic data analytics by directly adopting advanced technologies such as ML/AI – setting themselves up for failure from the get-go. This presentation explains how to get basic data engineering and the right technology in place to create and maintain data pipelines so that you can solve problems with AI successfully.
Your Challenge:
Implementing a shared services model is a difficult process to undertake, and is comprised of many different components. Becoming a shared services provider is comparable to becoming a vendor and most IT groups don’t have the capabilities to easily make the transition.
Most companies look to achieve cost reductions through offering a shared services model. Adopting a shared services model doesn’t always result in these intended cost reductions. Simply combining the operations of two IT organizations doesn’t necessarily result in economies of scale and cost efficiencies. Before leaping forward with your shared services implementation, determine if the project will deliver value to your organization.
Our Advice - Critical Insight:
Implementing a shared services model needs to be viewed as more than simply extending a current service to other sites. The organization providing services essentially turns into a vendor. As a vendor, think of the IT service you’re offering as the “product.”
Remember that there are people, process, and technology capability pre-requisites to successfully becoming a shared services provider. These capabilities are not typical for the average IT shop, and need to be taken into consideration when you look to transition to a shared services model.
Our Advice - Impact and Result:
Before jumping into the implementation of your shared services project, assess your customer requirements and your current people, process, and technology capabilities to assess whether your organization is ready to implement a shared services model.
Understand the financial implications of moving to a shared services model prior to implementing. Make sure there is a strong case for implementation.
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.
Enterprise Digital Transformation Powerpoint Presentation SlidesSlideTeam
"You can download this product from SlideTeam.net"
Presenting this set of slides with name Enterprise Digital Transformation Powerpoint Presentation Slides. Enhance your audiences knowledge with this well researched complete deck. Showcase all the important features of the deck with perfect visuals. This deck comprises of a total of twenty-five slides with each slide explained in detail. Each template comprises of professional diagrams and layouts. Yes, these PPT slides are completely customizable. Edit the color, text, and font size. Add or delete the content from the slide. Users can easily download the presentation slides in the widescreen and standard format. These templates are compatible with Google Slides too. The user can use the PowerPoint presentation in PDF or JPG format. https://bit.ly/33KF6jk
Best practices, lessons learned, and examples for taxonomy governance and iteration. Developed by Enterprise Knowledge and originally presented for the Knowledge Management Institute.
Solution Architecture And (Robotic) Process Automation SolutionsAlan McSweeney
Automation is a technology trend IT architects should be aware of and know how to respond to business requests as well as recommend automation technologies and solutions where appropriate. Automation is a bigger topic than just RPA (Robotic Process Automation).
Automation solutions, like all other technology solutions, should be subject to an architecture and design process. There are many approaches to and options for the automation of business activities. Too often automation solutions are tactical applications layered over existing business systems
The objective of all IT solutions is to automate manual business processes and their activities to a certain extent. The requirement for RPA-type applications arises in part because of automation failures within existing applications or the need to automate the interactions with or integrations between separate, possibly legacy, applications.
One of the roles of IT architecture is to always seek to take the wider architectural view and to ensure that solutions are designed and delivered within a strategic framework to avoid, as much as is practical and realistic, short-term tactical solutions and approaches that lead to an accumulation of design, operations and support debt. Tactical solutions will always play a part in the organisation’s solution landscape.
The objective of these notes is to put automation into its wider and larger IT architecture context while accepting the need for tactical approaches in some instances.
These notes cover the following topics:
• Solution And Process Automation – The Wider Technology And Approach Landscape
• Business Processes, Business Solutions And Automation
• Organisation Process Model
• Strategic And Tactical Automation
• Deciding On The Scope Of Automation
• Digital Strategy, Digital Transformation And Automation
• Specifying The Automation Solution
• Business Process Model and Notation (BPMN)
• Sample Business Process – Order To Cash
• RPA (Robotic Process Automation)
Thabo Ndlela- Leveraging AI for enhanced Customer Service and Experienceitnewsafrica
Thabo Ndlela, from Accenture, delivered a keynote on Leveraging AI for enhanced Customer Service and Experience at Digital Finance Africa 2023 on the 2nd of August 2023.
Knowledge management has to be seen within the context of business strategy and business need. It is not an end itself, but a tool to deliver better business performance, and this view is crucial to developing and crafting an effective KM strategy.
This session covers: creating a strategy to give direction to a KM program, recognizing business drivers, clarifying strategic knowledge areas for the organization, and finding and defining key stakeholders who need to be involved.
The 10-Step Knowledge Management Road map
They copied all that they could follow but they could not copy my mind, and I left 'em sweating and stealing and a year and half behind —Rudyard Kipling.
IN THIS CHAPTER
• Understand the 10-step knowledge management roadmap and how it applies to your company.
• Understand the four phases constituting these 10 steps: infrastructural evaluation; KM system analysis, design, and development; deployment; and evaluation.
• Understand where each step takes you.
• Articulate a clear link between KM and business strategy to maximize performance and impact on your company's bottom line.
• Learn how to prioritize KM processes to maximize business impact.
• Understand the key steps involved in knowledge auditing, knowledge mapping, strategic grounding, deployment methodology, teaming, change management, and ROI metrics formation.
Knowledge management is a complex activity, and like anything else that cannot deliver business impact without a concrete plan, it needs a perfect plan. This chapter introduces that plan: the 10-step knowledge management roadmap that will guide you through the entire process of creating a business-driven knowledge management strategy, designing, developing, and implementing a knowledge management system and effecting the soft changes that are required to make them work—with your company in mind. I chose to describe this plan as a roadmap rather than relegating it to the status of a methodology. A methodology undermines the level of complexity that is actually involved in managing knowledge and gives it a deceptive look of a cookie-cutter formulation.
May your competitors who thought that bleeding-edge technology was their nirvana rest in peace. For nothing—no technology, no market share, no product, and no monopoly— can ever provide a competitive advantage that is anything but temporary: They can all be copied, sometimes easily and sometimes with a little effort. Knowledge is the only resource that cannot be easily copied. Knowledge is much like copy protection: Even if your competitors get to it, they cannot apply it, for knowledge is protected by context in as copy-protected software is protected by encryption.
This strengthening idiosyncrasy of knowledge also has a negative implication for you: You cannot easily copy a competitor's knowledge management strategy and system.
Examples from your industry's leaders can be useful for understanding knowledge management, but they cannot show you the right way to do it. For these reasons, your
knowledge management system and knowledge management strategy will have to be unique to your company.
What follows in the next four sections of this book is an explication of the roadmap—not imitable methodology—that will help focus on your own company and develop a
knowledge strategy whose results are hard hitting, but one that no competitor can easily duplicate. They can co
Digital Transformation From Strategy To ImplementationScopernia
Creating a digital transformation strategy is one thing but how do you put the insights and plans into practice. This presentation deals with vision, strategy, roadmap, governance, leadership, channel hacking, start-up-thinking and many more issues.
Your Challenge
Organizations have to adapt to a growing number of trends, putting increased pressure on IT to move at the same speed as the business.
The business, seeing that IT is slower to react, looks to external solutions to address its challenges and capitalize on opportunities.
IT and business leaders don’t have a clear and unified understanding or definition of an operating model.
Our Advice
Critical Insight
The IT operating model is not a static entity and should evolve according to changing business needs.
However, business needs are diverse, and the IT organization must recognize that the business includes groups that consume technology in different patterns. The IT operating model needs to support and enable multiple groups, while continuously adapting to changing business conditions.
Impact and Result
Determine how each technology consumer group interacts with IT. Use consumer experience maps to determine what kind of services consumer groups use and if there are opportunities to improve the delivery of those services.
Identify how changing business conditions will affect the consumption of technology services. Classify your consumers based on business uncertainty and reliance on IT to plan for the future delivery of services.
Optimize the IT operating model. Create a target IT operating model based on the gathered information about technology service consumers. Select different implementations of common operating model elements: governance, sourcing, process, and structure.
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.
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.
We at Think Talent believe that strong organization culture help build an environment with meaning, and offer ways to interpret and shape events and situations.
Virtual Organization, Advantages of Virtual Organization, Disadvantages of Virtual Organization, HUMAN RESOURCE ISSUES IN VIRTUAL ORGANIZATION, TALENT MANAGEMENT, Work-life Balance, Six Sigma, HR Six Sigma Process
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.
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.
SASUG April - Building Social Networks and the Social JourneyDavid Broussard
A review of what an Enterprise Social Network is, why we needs them, and how to embark on a Social Journey that will actually get you to your desired destination.
Information Mapping - Solutions For the Financial Services IndustryChris MacMillan
The presentation explains how the finacial service industry benefits from clear communication through the use of the Information Mapping method. It contains case studies and testimonials.
This takes a look at the architectural constructs that are used for building business intelligence systems and how they are used in business processes to improve marketing, better serve customers, and maximize organizational efficiency.
Strategic Governance : A [Disruptive] Framework for Enterprise Learning Solut...Heather L. Hutchens, MBA
Even within small organizations, learning leaders often struggle with balancing diverse, competing, wants and needs, with maintaining secure and well-managed solutions. This session outlined key concepts, best practices, and provided a practical toolkit for maintaining compliance while achieving your highest organizational goals. No matter your role, you can manage governance like a boss!
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?
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.
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
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.
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.
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?”
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.
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.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
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.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
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/
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
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
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.
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.
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.
Making KM Clickable: The Rapidly Changing State of Knowledge Management
1. THE RAPIDLY CHANGING STATE OF KNOWLEDGE MANAGEMENT
DELIVERED FOR THE BANGALORE K-COMMUNITY ZOOM MEETUP:
THE DIGITAL EDGE: TECH ROADMAPS AND IMPACTS ON KM
JUNE 15, 2022
2. ⬢ 24 Years of Consulting Experience
⬢ Expert in Knowledge Management
Strategy, Design, and Implementation
⬢ Inc. 5000 Listed CEO Four Years in a Row
⬢ Coauthor of Making KM Clickable (2022)
ZACH
CEO AND COFOUNDER, ENTERPRISE KNOWLEDGE
WAHL
4. KNOWLEDGE MANAGEMENT INVOLVES THE
PEOPLE, CULTURE, PROCESSES, AND ENABLING
TECHNOLOGIES NECESSARY TO CAPTURE,
MANAGE, SHARE, AND FIND INFORMATION.
THE NEW MISSION OF KM IS TO LINK ALL OF AN
ORGANIZATION’S KNOWLEDGE, IN ALL ITS
FORMS, MAKING IT NOT JUST FINDABLE, BUT
UNDERSTANDABLE AND ACTIONABLE.
5. 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.
PROCESS CONTENT CULTURE TECHNOLOGY
Deconstructing KM
6. 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
M
A
N
A
G
E
E
N
H
A
N
C
E
FIND
ACT
7. Tacit Explicit
Structured
Unstructured
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.
Follows no consistent format for its
organization and categorization. Generally
easy for human users to read and
understand, but more difficult for machines
to use and process.
Forms of Knowledge
9. CONFRONTING
TODAY’S KM
CHALLENGES
WHY KM MATTERS
EXPONENTIAL INCREASES
IN CONTENT AND DATA.
MORE BARRIERS TO
COLLABORATION AND
CONNECTIONS
(ORGANIZATION,
GEOGRAPHIC, ETC.).
PROLIFERATION OF
KNOWLEDGE AND
INFORMATION SYSTEMS.
LESS STRUCTURE, MORE
SOCIAL.
THE GREAT RESIGNATION -
LOWER STAFF RETENTION,
HIGHER LEVELS OF
RETIREMENT.
SUDDEN REMOTE AND
HYBRID WORK.
10. CONFRONTING
TODAY’S KM
CHALLENGES
SUPPORTING DATA POINTS
TODAY, 80% OF BUSINESS
IS CONDUCTED ON
UNSTRUCTURED
INFORMATION – GARTNER
GROUP
KNOWLEDGE WORKERS
SPEND FROM 15% TO 35%
OF THEIR TIME SEARCHING
FOR INFORMATION – SUE
FELDMAN, IDC
FORTUNE 500 COMPANIES
LOSE ROUGHLY $31.5
BILLION A YEAR BY FAILING
TO SHARE KNOWLEDGE –
PAMELA BABCOCK, HR
MAGAZINE.
UNSTRUCTURED DATA
DOUBLES EVERY THREE
MONTHS – GARTNER
GROUP
EACH DAY IN THE U.S.,
10,000 PEOPLE RETIRE –
SOCIAL SECURITY
ADMINISTRATION
40% OF CORPORATE USERS
REPORTED THEY CAN’T FIND
THE INFORMATION THEY
NEED TO DO THEIR JOBS –
SUE FELDMAN, IDC
11. KM Outcomes
ENTERPRISE KNOWLEDGE
▪ Improved content findability and
discoverability, and therefore less
time waiting, searching, and
recreating knowledge.
▪ Increased use and reuse of
information.
▪ Decreased knowledge loss.
▪ Improved organizational awareness
and alignment.
▪ Enhanced quality, availability, and
speed of learning.
Business Outcomes
Improved productivity.
Decreased costs and cost avoidance
due to regulatory fines and lawsuits.
Increased employee satisfaction and
retention.
Faster and better up-scaling of
employees.
Improved customer satisfaction and
retention.
Improved delivery and sales.
Increased collaboration and innovation.
Future readiness.
12. Step 1
New Employee is
given a task, but is not
sure how to proceed
with it.
Step 2
They spend two
hours searching on
systems X, Y, and Z.
Step 3
The search results
are incomplete and
include somewhat
conflicting guidance.
Step 4
They email their
manager for
guidance and wait
an hour for a
response.
Step 5
The response directs
the employee to an
individual who has
completed this task
in the past.
Step 6
The employee emails
this individual and
receives a response
in an additional hour.
The response
includes an
attachment that
provides a template
for completing the
task.
Step 7
The employee
reviews the template
and emails the
individual back to
receive clarification
on how to complete
it. After an additional
30 minutes, the
individual responds
with the necessary
guidance.
Step 8
The employee
completes the task.
Total Time: 4.5 Hours
13. Step 1
New Employee is given a task, but is not
sure how to proceed with it.
Step 2
They search the new knowledge base
and find the template for completing the
task, examples of completed tasks, and
identification of individuals who have
completed this task in the past.
Step 3
They review the template and “chat” the
experienced individual via one-click link
from the search results for additional
guidance.
Step 4
They receive an immediate answer and
are able to complete the task
Total Time: 10 Minutes
14. Leverage Pilots
to Obtain
Metrics, and
Surveys to
Develop
Benchmarks
Best Practices to
Deliver the Real
Value of KM
Find Your KM
and ______
When Selecting
Pilots/Early
Adopters, Go
Where the
Money Is
Prioritize Clear
Measurables
(retention, RIFs)
Rather than
Intangibles
Focus on
Business
Outcomes, Not
KM Outcomes
Don’t Be Afraid
of Technology
as the Way that
KM Becomes
Real
16. ENTERPRISE KNOWLEDGE
• High engagement with
stakeholders.
• Iteratively test and prove the
value of KM.
• Drive business value and
adoption.
AGILE KM
17. Year
Workstream Month 1 Month 2 Month 3 Month 4 Month 5 Month 6 Month 7 Month 8 Month 9 Month 10 Month 11 Month 12
Develop Content Governance Plan
Design and Validate
People Profiles
People Profile Information Gathering
Design and Validate Taxonomy Launch Taxonomy MVP Develop Taxonomy
Governance Plan
Design Content Types
Content Audit and
Clean Up
Capture Enterprise Search Requirements Design Enterprise Search Engine
Design and Validate Ontology Launch Ontology MVP Develop Ontology
Governance Plan
Ontology Information
Gathering
Launch People Profiles
Implement Enterprise
Search Engine
Design Search Hit Types Implement Search Hit Types
Implement Content Types and
Content Governance Plan
Select Ontology Platform Conduct
Ontology Training
Conduct Taxonomy
Training
Evaluate and Adjust Taxonomy
Evaluate and Adjust
Ontology
Select Search Platform
Select Taxonomy
Management Tool
Content
Readiness
and Quality
Enterprise
Search and
Findability
Content Tagging Tool Selection Content Tagging Implementation
Design Content Tagging
Approach
Taxonomy
Information
Gathering
Users will be able to find the content
they need, when they need it, and
will be given recommendations for
new tailored content.
The organization will understand its
employees’ search pain points and
needs.
Users will have a structured taxonomy
and ontology that will improve
findability across the organization and
enhance their search features.
End users will be trained on
how to effectively use and
maintain the taxonomy.
The organization will understand
where its content resides as well as its
content strengths and areas for
improvement.
Content will have a consistent
structure which makes it more
findable and reusable.
End users will now find and connect with other
experts across the organization.
18. ENTERPRISE KNOWLEDGE
1 Year Roadmap
Q1: Content Cleanup Complete: Old and
risky content has been archived,
resulting in improved findability and
trust, with decreased risk of regulatory
issues based on outdated information.
Q4: Core technology set selected and designs in
process. New content structure and templates
deployed, improving consistency, readability, and
maintainability of all core content.
Q2: Findability redesign pilot complete,
demonstrating value of improved
taxonomy and introducing faceted
navigation.
Q3: Expert finder launched, ensuring all
employees can better find and connect
with experts from whom to learn and
with whom to innovate.
Q4 (EOY): Leading edge semantic
search tool deployed. Employees are
finding and discovering more
content, improving learning,
productivity, and collaboration.
20. Content Management System
Used to author, organize, manage, and publish content on a web interface
Knowledge Portal
Repository Layer Web Content
Management
Enterprise
Search
Learning
Management
Analytics Layer
Taxonomy
Management
Document
Management
Instant
Messaging
Findability Layer Ontology
Management
Collaboration Layer
Content Creation Layer
Document
Sharing
Annotation /
Feedback
Chat Bot
Team
Workspaces
Reporting Usage Metrics Content Metrics
Governance Layer Workflows Records Schedule Access Controls Information Audit
WYSIWYG Editor Digital Asset Editing
Alerts /
Notifications
Recommendatio
ns
APIs
Displayed below are the layers needed for a best-in-class Knowledge
Management and Information Management Platform.
Knowledge
Graph
Customer
Relationship
Management
Digital Asset
Management
Component
Content
Management
Metadata Layer Auto-Tagging / Auto-Classification Auto-Categorization
KM Platform –
Logical Architecture
21. KNOWLEDGE GRAPHS
TAXONOMY
MANAGEMENT
ONTOLOGY
MANAGEMENT
ENTERPRISE SEARCH
Architecture and data models to
enable machine learning (ML)
and other AI capabilities. Drive
efficient and intelligent data and
information management
solutions.
Examples:
• Expert Finder
• Recommendation Engine
• Customer 360
WEB CONTENT
MANAGEMENT
DOCUMENT &
RECORDS
MANAGEMENT
DIGITAL ASSETS
MANAGEMENT
BUSINESS CONTENT
MANAGEMENT
Used to author, organize,
manage and publish content on
a website.
Examples:
• SiteCore
• GraphCMS
• CloudCMS
• Drupal
• WordPress
• Contentful
Designed to manage, secure,
and control documents across
an enterprise.
Examples:
• Alfresco
• Documentum
• Box.com
• OpenText
• GoFileRoom
• M365 / SharePoint
Designed to manage digital
products like videos and images.
Most frequently used by
marketing and publishing
departments.
Examples:
• Adobe Experience Manager
Assets
• Bynder
• Iconik
Content management tools built
for a specific business purpose
like customer or contract
management.
Examples:
• Apttus Contract
Management
• SalesForce
• Dynamics 365
• Learning Management
Search tools designed to query
across multiple KM systems.
Examples:
• Sinequa
• Lucidworks Fusion
• Elasticsearch
• Solr
Empowers the creation and
management of complex
relationships between various
sources of data.
Examples:
• Stardog
• Neo4j
• Neptune
• Ontotext
Enables organizations to
maintain and expose their
business taxonomies to KM
systems.
Examples:
• PoolParty (SWC)
• Cambridge Semantics
• Semaphore (SmartLogic)
• Synaptica
COMPONENT CONTENT
MANAGEMENT
Manages content at a granular
level so portions of a piece of
content can be reassembled and
used for other content.
Examples:
• Marklogic
• EasyDITA
• SDL Tridion
COLLABORATION
Tools designed to enable users
to share content and collaborate
using instant messaging or video
conferencing.
Examples:
• M365 / Teams
• Slack
• ShareFile
• Firmex
Core KM Technologies
22. FOLKSONOMY CONTROLLED
LIST
TAXONOMY ONTOLOGY KNOWLEDGE
GRAPH
ARTIFICIAL
INTELLIGENCE
Free-text tags. List of predefined
terms. Improves
consistency.
Predefined terms &
synonyms.
Hierarchical
relationships.
Improves consistency.
Allows for parent/child
content relationships.
Predefined classes &
properties. Expanded
relationships types.
Increased
expressiveness.
Semantics. Inference.
Capture related data.
Integration of structured
and unstructured
information. Linked data
store. Architecture and
data models to enable
machine learning and
other AI capabilities.
Drive efficient and
intelligent data and
information
management
solutions.
Semantic Solution Maturity Continuum
@EKCONSULTING
23. Use Case-Driven Design
Emphasize user-driven design,
defining specific use cases,
personas, and applications, so that
solutions are relevant and
measurable, driving executive buy-
in and adoption.
Agile
Implementation
Designs and implement solutions
end-to-end by use case, ensuring
that there is visible incremental
progress and results that users can
validate and adopt while working
towards a defined target state
and vision.
Semantic Web Standards
Standards-based design (i.e. SKOS,
OWL, RDF) so that semantic
models are implementable and
interoperable across systems and
use cases.
USE
CASE
1
USE
CASE
2
USE
CASE
3
Design &
Modeling
Ingestion &
Enrichment
Configuration
Testing &
Validation
Working
Model
Working
Model
Working
Model
As a ___, I would like
to ___, so that ___
Relevant Systems,
Applications, and
Sources
Business Value
User-Centered Iterative Interoperable
Keys to KM Technology Solutions
24. Knowledge Portals and Advanced Search
⬢Integrate multiple
repositories via a single front
end and search.
⬢Leverage taxonomies and
ontologies to maximize
findability and
discoverability.
⬢Use content types and
search hit types to make
results actionable.
25. Knowledge Graphs
Employee:
Alice Reddy
Company:
Consult, Inc
Employee:
Bob Jones
Consultant:
Kat Thomas
Company:
Widgets, Inc
Project:
Sales Process Redesign
Working on
Working on
Works for
Works for Reports to
Works for
Has a contract with
⬢Harness graph databases
and ontologies to connect
multiple types of content
with context.
⬢Used to power Enterprise AI
applications including
chatbots, recommendation
engines, and expert finders.
⬢Able to identify relationships
that are otherwise not
readily apparent.
26. Content Assembly
⬢Build on content
management capabilities to
deconstruct and
automatically assemble
content.
⬢Leverages taxonomies for
customization and
recommendations.
⬢Drastically reduces
administrative burden while
improving governance and
content quality.
27. Recommender Systems
Data Management &
Quality
Auto-tagging
Taxonomy & Ontology
Development
Standardization and
Dereferencing
Natural Language and
Semantic Search
Data Visualization and
Reporting Dashboard
Data Governance
@EKCONSULTING
Enterprise Applications and Use Cases