Are you new to knowledge management? Want to learn about all the possibilities for making your organization smarter, more collaborative, innovative, and productive? Join our expert knowledge manager and longtime KM mentor to gain insights and ideas for building a robust KM program in your organization—even if it is called by another name! This workshop highlights a range of potential enterprise KM activities being used in real organizations and shares how these activities are impacting the bottom line. It shows real KM practices and discusses various tools and techniques to give those new to KM a vision of what is possible in the enterprise as well as tips for how to get a dynamic program started in your organization.

KM is all about collaboration, and as our organizations struggle with digital transformation and encompassing a global workforce, platforms matter. In addition to traditional platforms that we are now quite used to, there are 3D platforms that are stretching our capabilities. Learn more about AR (augmented reality), VR (virtual reality), XR (extended reality) and 3D platforms from our expert. Bring your questions and curiosity, and be prepared to play and use your imagination about how new tools might fit into your enterprise and enhance communication pathways.

Humans connect through stories, and KM is all about connecting people. Even so, many KM programs don’t utilize storytelling to drive adoption or teach the art of storytelling. This interactive workshop shares winning storyteller strategies, success stories, techniques, and more. Participants learn about storytelling through several fun activities, get a heightened awareness of the power of stories, and learn how to run storytelling workshops in their own organizations. A special focus is on the “KM Origin Story,” in which attendees learn about telling a story that makes the case for the magic of KM. Come, learn, and enjoy “story-listening,” as other KM practitioners tell their own tales. Led by our KM pros, you will learn lots in a fun environment.

Successfully activating enterprise capabilities, such as KM, sales enablement, marketing, ecommerce, and personalization, among others, requires a robust information strategy. Defining an information model which reflects strategic business goals, addresses the current technology stack, and aligns with the needs of internal and external users improves information connectivity and encourages development of new organizational capabilities. This highly interactive workshop provides practical tactics for designing, building, maintaining, and governing taxonomies, ontologies, and other enterprise information models. Based on hard-won lessons learned from work with everything from large Fortune 50 enterprises to small ecommerce sites, Carlson discusses: modeling basics—a foundation to start creating a consistent vocabulary within large organizations with complex infrastructure, business goals, user profiles, and regulatory needs; a framework for shifting to an enterprise taxonomy model that meets the needs of enterprise and the individual business units, systems, user profiles, and interfaces; the impacts of an information-focused project on technology, governance, workflows, marketing, analytics, search, compliance, and the interaction with master data management; practical tips for providing stakeholders with resources to navigate internal tensions around implementation; and examples and case studies of large scale information modeling projects.

Findability is much more than technology. It needs to be the combination of culture, communication, and technology, as well as how your content is organized. This workshop by our experienced and knowledgeable speaker discusses the most important success factors of enterprise search in Microsoft 365—roles and responsibilities, search metrics, risk management, governance, search lifecycle—and how to implement it well. Molnar uses real-world examples to go through all the steps to enable you to create an actionable plan for your organization. Get lots of practical tips and insights from our popular KMWorld speaker. 

The volume of human and machine knowledge continues to grow exponentially. And as GenAI tools such as Chat GPT and Bard continue working their way into the mainstream, this growth will only accelerate, taxing the limits of traditional KM. As a result, leaders and decision makers will have far less visibility into how and even where their organization’s knowledge is generated, along with its validity. How many of your business decisions are automated? How many business rules does your organization have? How secure are they? What social amplification and other risks are inherent in your organization’s decision processes? If you can’t answer these questions, it’s a sign you need to start incorporating knowledge governance into your organization. In this workshop, you learn how to build a top-level governance model, along with a plan for implementation, including how to measure results and make adjustments along the way. Learn the seven major facets of organizational knowledge governance, how to align them with overall corporate governance, and, most importantly, how to evaluate the range of possible ESG impacts, both positive and negative. Don’t let the volume of knowledge overwhelm you. Rather, create more KM joy by putting a governance model in place, reducing the risk and uncertainty along your KM journey, and gaining greater value from your organization’s ever-expanding collection of knowledge assets.

Humans have always been storytelling animals. From sci-fi to fairytales and anecdotes shared around watercoolers, stories provide opportunities to learn, share, and take action on our hopes, dreams, and fears for the future. Narrative provides a collaborative and meaningful way for KM practitioners to explore the intractable issues of our time, a critical edge in embedding social and human capital into the world of work. Join the Cynefin team for one of their most popular workshop methods, Future Backwards. F-B is an alternative to scenario planning and a side-casting technique designed by Dave Snowden. The method brings groups together through storytelling to increase the number of perspectives that an organization can take both on understanding its past and a range of possible futures. It is a fun, connecting method used for lessons learned, historical analysis, and context setting among other purposes. Learn how to expose the number of perspectives that a group can take, both on an understanding of its past and of the range of possible futures; discover what entrained patterns of past perception in an organization are determining its future; compare and contrast different aspirations as to the present and the future; and generate multiple turning points or decision points for use in the social construction of the Cynefin framework. This interactive and engaging workshop gives a practical approach to engaging employees in storytelling to explore the future of organizations, a means of conditions for novel discovery, cross-pollination of ideas and transformation, and lessons learning in workshops and beyond.

Artificial intelligence (AI) is revolutionizing the enterprise, with the potential of Generative AI (GenAI) at the forefront. However, many organizations struggle to harness GenAI’s full potential. The key lies in retrieving information from corporate sources, an application known as retrieval-augmented generation (RAG).The success of RAG hinges on the ability to search and retrieve accurate information. The success of search and retrieval depends on well-structured and organized data curated to provide a reliable ground truth for the algorithm. But what if the data isn’t correct or complete? Our speakers demonstrate innovative approaches to enhance data quality and completeness using Large Language Models (LLMs).This interactive workshop covers essential principles of LLM applications, including ChatGPT, various LLM types, and the critical role of taxonomies, metadata, and ontologies. Attendees explore practical skills such as how to cleanse data at scale, design and engineer effective prompts, mitigate hallucinations, and more. This workshop is practical and hands-on. It is suggested to bring a laptop. Laptops will not be provided on site.

The impacts of AI on our organizations and society since ChatGPT and other GenAI technologies have burst into the mainstream have left knowledge managers with the increased responsibility of stewarding, guiding, and embracing the potential of these new tools, while protecting organizations from its risks. Many organizations are also realizing the renewed need for capturing institutional knowledge and disseminating it across traditional silos in support of the rollout of AI solutions. This facilitated workshop provides tools for participants to steward their organizations and KM programs to create complementary knowledge capture and transfer programs to support their organizations’ objectives and their AI initiatives. It looks at how to articulate and prioritize business needs to key stakeholders; develop personas to guide the discovery, design, and implementation; and plan an assessment of knowledge gaps. It discusses the common knowledge capture and transfer techniques, how to measure and communicate the value of knowledge capture and transfer, and assemble a playbook for organizational knowledge capture and transfer.

Digital employee experience (DEX) is a holistic concept that looks at the entire experience of staff, as they progress through their work. It's about more than just rolling out new technology platforms, and it's as much about how staff work with each other as it is about the digital services provided by the business. This practical workshop, led by a long-time practitioner, looks at how evolving intranets and digital workspaces in various industries manage and create great content, design user experiences that work, communicate while cutting through the noise, collaborate with ease, create efficiency, and remove frustration from across the business. This interactive workshop shares best practice tips and real-world examples to bring your intranet or digital workplace to the next level.

This high-demand workshop, given by a KM pioneer and popular KMWorld speaker, focuses on how to build a successful KM strategy and revitalize knowledge sharing within your organization. Snowden, our workshop leader, engages participants, taking them through a step-by-step approach to rethinking the role of the KM function within an organization. It includes creating a decision/information flow map to understand the natural flows of knowledge; defining micro-projects that directly link to the decision support needs of senior executives; mapping the current flow paths for knowledge within the organization; and finding natural ways to manage the knowledge of the aging workforce as well as the IT-enabled apprenticeship. Using real-world examples, Snowden shares winning strategies and insights to rejuvenate your knowledge-sharing practices. Always fresh and filled with interesting stories, this workshop continues to stand out with our audience!

Neuroscience has found that we are wired for story. Storytelling uses story as a communication strategy, while story thinking uses story as an operational strategy. This workshop goes beyond the foundations of story psychology and focuses on applications for KMers. Specific approaches and exercises are included to support strategies around KM systems, cultures, leadership, knowledge sharing, project documentation, evaluation, and continuous improvement. Direct comparisons are shown between story structure as our fundamental sensemaking framework and popular certifications, like Six Sigma DMAIC, Design Thinking, Change Management, Project Management, Kahneman, Kolb, Kotter, and Kubler-Ross. Discover how story thinking produces quad-loop learning and organizational flow, transforms change management into change leadership, and develops knowledge workers into knowledge leaders.

Knowledge doesn’t manage itself. No matter how far AI/ML evolves, knowledge, whether human or digital, will always need human curation. And as the growth in edge computing and hyper-automation continues to accelerate, having a reliable, consistent curation framework in place is more critical than ever. There is no shortage of tools and techniques for building knowledgebases and repositories. Yet the question remains: “How do I stay on top of the explosive growth in human and machine knowledge in my organization?” This workshop helps you do this by gaining an understanding of the three main pillars of knowledge curation: 1) knowledge capture and transfer; 2) governance; and 3) architecture, including the tools, platforms, and processes for putting it all together. Key elements include how to determine what knowledge is worth capturing and in what form; reconcile different world views, mental models, and learning modalities across various human and machine knowledge sources and recipients; determine which tools and approaches are appropriate for different types of knowledge; integrate the various tools and approaches into a single system; vet knowledge and keep it up-to-date; and make knowledge flow and grow, from a single individual to an entire community of experts and practitioners. Join our experienced KM expert and take home an initial plan for creating more KM joy in your organization by setting up and implementing a world-class knowledge curation program. 

You have more Team workspaces than you know what you do with, your employees don't know the difference between a team and a channel, group chat is all over the place and documents are more likely to be shared from a personal OneDrive than from a shared Team. Does any of this sound familiar? Our experienced presenter shows how to “tame Teams” and help employees develop good collaboration practices so that digital lives easier. Get lots of tips and see how other organizations have tamed their KM workspace. This workshop is practical and hands-on. Please bring a laptop with you so you can participate in the exercises. Laptops will not be provided on site.

Have you been working with complex challenges and methods for a long time and wish to add something new to your toolkit? Or are you new to complexity and looking for a place to start? Join this workshop to learn about a complexity-informed approach to navigating the seas of organizational needs within the bigger-picture global tides. Estuarine mapping was presented for the first time at last year’s conference by Dave Snowden, and it is gaining traction worldwide in industry and government as a conflict-free approach to strategy. In this hands-on, interactive session, learn how to assess the constraints at play in the organization and networks to make the energy cost of doing “bad” things harder and “good” things easier while allowing for emergence along the way. Explore how this framework links into radical new means of distributed decision making at the intersections of technology and human sensemaking using the power of narrative and human connection to find novel possibilities along the path. The workshop covers what we can change and manage in a complex environment, what we do when simple goals don’t work, how we plan for uncertainty, how we combine the grand vision with the day-to-day to build collaborative organizations, and how we do sensemaking at scale with human sensor networks. Get a practical compass to start working with different ways to create conditions for novel discovery, cross-pollination of ideas, transformation, and more.

This interactive workshop bridges theory with practical application for building collaborative organizations and navigating the complexities of the digital age. Led by industry experts versed in the art of fostering teamwork and innovation, it shares a blend of case studies, group exercises, and dynamic discussions, so participants uncover the fundamental pillars of collaboration, learning how to cultivate an environment where collective intelligence thrives and silos crumble. With a focus on leveraging technology as an enabler rather than a barrier, the workshop delves into strategies for fostering seamless communication, knowledge sharing, and cross-functional cooperation. Explore cutting-edge tools and methodologies to break down traditional hierarchies and empower employees at all levels to contribute their unique insights and expertise. Get an understanding of the transformative power of collaboration and be poised to implement actionable strategies that drive organizational success in an increasingly interconnected world.

GenAI continues to astound, but it also continues to struggle to produce real business value outside of a few applications like customer support chat and the productivity gains of producing rough drafts. While those are valuable, there is so much more that GenAI could do if it can overcome its current well-known limitations. GenAI’s limitations include its tendency to hallucinate, that is, make up false facts. LLMs were trained on public information, but as we’ve seen many times, the content and vocabularies behind the enterprise firewalls are quite different; this is why transparency—understanding why it says what it does—is so important. Text analytics can refine the general answers of GenAI with text analytics precision. Learn how to set up both a text analytics and GenAI environment starting with selecting the right components (software, LLMs, etc.). Then get the basics for creating a text analytics foundation (autocategorization, data extraction, and more) and a GenAI approach that combines text analytics, prompt engineering, merging enterprise LLMs with the larger public LLMs, and RAG capability. This collaboration of text analytics and GenAI has the potential to transform how your business operates and competes. Join our experienced speaker and Text Analytics Forum chair to get tips and techniques to develop a strong foundation for business value in your organization.

Microsoft 365 is packed with powerful tools and features for building an effective intranet. But with so many options, it can be overwhelming to know where to start. Hanley takes a deep dive into the "out-of-the-box" features of SharePoint Online and Microsoft 365 and shows you how to leverage them to build an intranet that meets your organization's unique needs. From creating and organizing content with SharePoint to enhancing communication with Teams and Viva Engage, she covers everything you need to get started, including new capabilities like the Brand Center and Copilot for SharePoint. By the end of the workshop, you'll have a solid understanding of the key features of SharePoint Online and how to use them to build an intranet that helps your organization communicate, collaborate, and succeed. You will also understand what is possible “in the box” and where you may want to invest in third-party solutions or custom development.

“This ain’t my first rodeo,” and our three KMers, with a combined 52 years of experience in knowledge management, have gained wisdom by learning from failures while also seizing serendipities. They work with participants, whether it’s their first rodeo or not, to crowdsource the biggest barriers being faced by their KM programs today and facilitate the co-creation of solutions to remove those barriers, focusing not only on what works, but what doesn’t. Have fun as you gain insights into other participants’ programs and immediately implementable ideas to stay on that bucking bronco. Be ready to gain insights and gather tips and techniques to strengthen and problem solve in your organization.

This practical workshop focuses on the lifecycles and workflow processes that knowledge engineers require to effectively manage complex and large volumes of knowledge. Knowledge assets represent diverse types of information, such as terminologies, information models, data elements, quality metrics, protocols, decision support rules, policies, etc. Content vendors provide collections of knowledge assets for different domains, but companies have to ensure that all active knowledge assets are integrated with delivery workflows. Systematic processes for asset review and curation are necessary, including consistently updating and tracking changes. Speakers provide an introduction to the most important KM activities, including the need to catalog and index knowledge assets, author and track asset metadata, manage relationships and dependencies among assets, import and export assets to/from various information systems, validate structural and semantic integrity when assets change, and implement a comprehensive asset lifecycle process. Get KM best practices, in combination with examples, challenges, and lessons learned from the extensive practical experience of speakers. Simple examples from the healthcare domain are used to illustrate the lifecycle and process management aspects.

Celebrate the grand opening of the Enterprise Solutions Showcase. Explore the latest products and services from the top companies in the marketplace while enjoying drinks and light bites. Open to all conference attendees, speakers, and sponsors.

We need new frameworks for AI-powered decision making that keep humans in the loop (along with human values, morals, interests, emotions, and sensibilities). Rosenberg discusses an approach toward enabling collective superintelligence that is rooted in hundreds of millions of years of evolution, which is why it so greatly outperforms old-school methods that treat humans as mere datapoints to be aggregated. Humans are not data. Humans are powerful data processors. The most viable pathway to collective superintelligence is to connect people together in real time and allow them to act, react, and interact using AI as the interstitial tissue that empowers us to solve problems together in optimal ways. A lifelong technologist, Rosenberg earned his Ph.D, from Stanford University in the early 1990's, was a professor at California State University in the early 2000's and has been focused on enabling collective superintelligence for the last decade. He shares his insights and ideas for enterprises looking for ways to share knowledge in their organizations.

GenAI retrieval-augmented generation (RAG) uses natural language understanding (NLU) and natural language generation (NLG) capabilities of large language models (LLMs) to securely support conversational search and discovery over enterprise content and data repositories. But GenAI and RAG alone are not enough to ensure the completeness and accuracy of information for many mission-critical enterprise applications. Knowledge graphs (KGs), including enterprise taxonomies and ontologies, can significantly improve the completeness and accuracy of information retrieved and generated by GenAI applications. Taxonomies and ontologies provide GenAI with machine-intelligible context about the domain knowledge and processes of the enterprise. When KGs and GenAI are integrated, taxonomists and ontologists can see and rapidly edit graph structures that explicitly guide RAG decision-making processes. With a simple no-code interface, taxonomists and ontologists are empowered to directly control GenAI dependencies, query refinement, and outcomes, thereby delivering high-quality, high-value business process automation. Using real world applications, our knowledgeable speaker illustrates how using knowledge graphs improves enterprise GenAI.

There is no question that GenAI has reignited interest in KM. Gartner predicts that 100% of GenAI virtual customer assistant and virtual agent assistant projects that lack integration to modern KM systems will fail to meet their CX and operational cost-reduction goals by 2025. As businesses experiment with GenAI, they are realizing that robust KM is foundational to its success. Roy discusses how KM and GenAI can accelerate and ensure mutual success, creating transformational business value at warp speed. He shares stunning success stories from clients. Get insights and ideas for your enterprise.

The world of information is exploding, but finding what you truly need can still feel like searching for a needle in a pile of needles. Probstein explores how search and GenAI are joining forces to revolutionize how we discover information. He delves into the lessons learned from traditional search and how AI is pushing the boundaries. He shares real-world examples and discusses how this powerful synergy is shaping the future of information discovery.

This case study examines the redesign of the drug portfolio evaluation process at Takeda Pharmaceutical. Moving from a cumbersome, manually updated, and limited searchability system to a streamlined process, the organization leveraged the existing SharePoint infrastructure to create a unified information environment that facilitated efficient portfolio management and improved searchability and provided executives with componentized views of submissions. This transformation not only optimized the drug portfolio evaluation process but also ensured secure and strategic management of sensitive information, demonstrating a significant leap in operational efficiency and decision-making speed for the organization. A large language model (LLM) PoC was also developed utilizing the PRC application information architecture which showed the improved recall and accuracy and virtually eliminated hallucinations using a retrieval-augmented generation (RAG) mechanism. Hear how Takeda Pharmaceuticals revamped its drug portfolio evaluation process, overhauling manual workflows, integrating systems, improving user experience, and aligning information architecture with corporate ontology and a knowledge graph. This optimized process ensures strategic information management, boosts operational efficiency, and showcases marked improvements in decision-making speed.

The U.S. Department of Defense (DOD) operates under complex data and security regulations and compliance standards, which can be difficult to navigate. Hear how our first speakers identified, validated, and prioritized key challenges that would maximize the initial impact of formalized KM efforts to accelerate and optimize engineering performance in the organization. What began as an approach to design and iterate on a SharePoint Online PoC became an intentional effort to organize data and information in preparation for exciting new capabilities, such as AI. Gilger discusses the building of a knowledge-driven Air Force collaborative ecosystem empowering airmen. It moved from siloed information to connected expertise with AI augmented KM, using a novel approach to KM with a collaborative strategy facilitating active knowledge sharing and refinement through features such as tagging, comments, and dynamic document assembly. With intelligent content assembly, users build new documents by directly referencing specific sections (paragraphs, images) from existing knowledge sources such as policies and procedures, ensuring knowledge builds upon itself, and any updates to core information are automatically reflected in all referencing documents. They also use AI tools to ask questions using natural language, leveraging the system's vast knowledgebase for accurate and relevant answers. By enabling collaborative creation, intelligent content assembly, and AI-assisted exploration, the USAF system empowers faster responses and a more agile Air Force. Get tips and insights from all our speakers for developing a forward-thinking approach to maturing knowledge sharing and corresponding technologies to try in your environment.

Speakers discuss solving problems the smart way and what happens when learning, KM, and engineering join forces in the enterprise. They discuss a new approach to developing products that a small deployment team of engineering leaders created, a new methodology for the 9,000-strong engineering community. Because from an engineer’s perspective, changing the way the group had always developed products was disruptive and unwelcome, the team enlisted the help of the learning and KM team to expedite learning, adoption, and engagement. They deployed a comprehensive change management and communications plan, coupling proven solutions, such as a formal curriculum in the LMS, communities of practice, and wiki articles with new and innovative social learning tactics, such as a conference-like Expo, which drew 1,000 employees to a single live webinar; bite-sized knowledge nugget webinars; video success stories; podcasts; and more. Hear more about how they partnered to deploy the new process for a series of blended learning and KM solutions that drove adoption of best practices; ensured successful change management; leveraged communities of practice, experts, and executive sponsors; and created a high level of employee engagement. 

At a nonprofit organization, effective KM maximizes resources and supports informed decision making, ultimately bolstering the organization's overall effectiveness and impact. Speakers share how the WWF is actively working to improve its KM strategy, discuss the initial challenges WWF faced when starting from ground zero while considering the organizational priorities, look at how gaps in KM were identified, and present the strategies they devised for overcoming obstacles encountered. The approach is multifaceted, integrating people, processes, and technology to develop a road map to the organization's target state, aligning with organizational goals, and to foster a knowledge-sharing culture with clear roles and a governance structure to enhance the quality and management of content within the organization. Speakers also discuss change management; techniques employed to navigate resistance, foster buy-in, and cultivate a sense of ownership among stakeholders; and more. Get insights and inspiration from this presentation!

Embark on a captivating exploration into the future of KM as speakers share invaluable insights derived from implementing KM systems. Valutis has been overseeing the KM rollout at Atrion and discusses the challenges and solutions as well as the lessons learned. While creating and building KM/business intelligence functions for four Fortune 500 companies, a leading philanthropy (Rockefeller Foundation), and the world's largest immigration law firm (Fragomen), Leeb discusses the five key problems he’s ID’d that KM professionals face. The key to solving them lies in the parameters of culture and the organization. He outlines the five problems (converting tacit to explicit knowledge; demonstrating ROI; articulating the value of KM, visibility, and findability of knowledge; collaboration; and technology as an enabler, not a solution) and discusses how they are addressed in a myriad of industries (financial, hi-tech, publishing) and sectors (commercial, not-for-profit, and government).

Stop by the showcase after a full day of stimulating sessions to mix and mingle with other conference attendees, speakers, and our conference sponsors.

Our longtime practitioner shares intranet and digital workplace trends as well as what to expect in the next 5 years, including but not limited to AI, digital assistants, search, and content management. 

Our speakers discuss their digital experiences and lessons learned in their knowledge management (KM) journeys. Hear two case studies and gain insights, ideas, and more.

In their 18th year, the Intranet and Digital Workplace Awards are global awards that recognize outstanding contributions to the fields of intranets and digital workplaces. The awards uncover remarkable solutions that deliver business value and then share them with the wider community. This session is a chance to meet award winners and look behind the firewall to see what the winners have achieved and, more importantly, how they achieved it! Get tips and ideas and see creative, inspirational, and valuable ideas to take back and apply in your organization.

With the deprecation of Viva Topics in February 2025, Microsoft is losing the “hero” application for KM in Microsoft 365. But Viva Topics alone was never enough and certainly not the only app in your KM toolkit. Hanley discusses strategies for leveraging Microsoft 365 to achieve your KM goals—from both manual and automatic metadata classification in SharePoint to enhance explicit knowledge to AI-assisted tacit knowledge and expertise location experiences with Viva Engage and Answers in Viva to Copilot-assisted knowledge experiences grounded in your organizational content. She provides practical tips and takeaways for achieving your KM goals and a deeper understanding of how Microsoft 365 and Copilot can help your journey.

Our industry leaders share their top tool for building the future workforce for KM. Gain insights about how their tools helped transform a client’s organizational knowledge strategy and understand their real-world applications in enhancing workforce capabilities.

Stop by the showcase after a full day of stimulating sessions to mix and mingle with other conference attendees, speakers, and our conference sponsors.

Speakers discuss the neuroscience and knowledge representation of story thinking and how it supports human and AI performance combined. While storytelling uses stories as a communication strategy, story thinking uses story structure as an operational strategy, embedding sensemaking within working and learning models and environments. Examples discussed include organizational KM strategies, innovation management, leadership profiles, clinical process models within healthcare, early warnings within large projects, and an emerging AI-assisted platform designed to activate the story thinking capacity of users and induce a state of flow when making sense of information from multiple sources. 

This conversation between two longtime KM and storytelling practitioners touches on storytelling’s place in business and in human success. They explore these questions: What makes a good organizational story? How can organizations measure the impact and ROI of stories? What practices can be implemented to ensure effective knowledge transfer through stories? How can GenAI support this most human of all activities? 

Speakers share practical, real-word, current examples to apply narrative, foresight, and critical thinking methods to organizational transformation. As human-machine and human-human relationships evolve in the workplace, they share how companies can address human and technology factors in collaboration and knowledge augmentation. How can organizations document and narrate experimentation and new tacit knowledge in a way that also nurtures interior work and workplaces?  What are the new (and are they new?) human capabilities for knowledge workers in an environment increasingly mediated by different technologies? How can narrative, and other methods, be seeded into change programs to move people from fear to agency? Get lots of insights and ideas from this talk!

The U.S. Agency for International Development's (USAID) Bureau for Planning, Learning and Resource Management (PLR) has pioneered the CoPx2 initiative, a dynamic meta-community aimed at enriching and optimizing CoPs across the agency. Created in 2020, CoPx2 serves as a collaborative space where CoP leaders share best practices, develop a comprehensive library of resources, and engage in mutual learning. This initiative not only facilitates the application of good practices in leading CoPs but also pioneers avenues for cross-CoP collaboration, addressing the often-siloed nature of specialized groups. This model exemplifies how structured peer learning and collaborative platforms can significantly enhance organizational knowledge, foster innovation, and drive meaningful change. Through strategically designing, planning, and facilitating various events for the group, CoPx2 fostered a stronger community in PLR with active information sharing and collaboration between hosts. Get lots of tips, tricks, and lessons learned for group practices in thought leadership and peer learning using a holistic and collaborative way. But is all we need to know about knowledge sharing what we learned in kindergarten: take turns, try new things, pay attention, and perhaps above all—engage in show and tell? Our second speakers discuss how USAID leveraged existing CoPs to convene gatherings that promote the sharing, uptake, and application of relevant evidence and practical resources. The human-centered design approach was informed by the KM framework developed by Nick Milton and Patrick Lambe, which promotes an integration of four fundamental knowledge transactions (discuss, document, synthesize, find/review). They describe the context, approach, and actual convenings they led; share activities for an experiential understanding of those convenings; and provide templates and guidance to sketch knowledge-sharing agendas in other enterprises.

The World Bank, the world’s premier international development institution, undertook a remarkable organizational transformation with KM at its heart. Integrating staff dispersed across more than 90 countries, it ended up building a high-performing team with a shared vision. Throughout this transformation, the Bank’s leadership leveraged communities of practice to extract the multidimensional knowledge the organization had been creating in silos. And it worked. How do we know? All along, evaluators were watching. To tell the full story, this session offers a dialogue between KM leaders and evaluators who, through the analysis of 34 case studies and dozens of interviews, attempted to answer one question: How can international organizations create the optimal conditions for learning within their operations? While presenting concrete solutions, the session draws from a recent book: "Communities of Practice at the World Bank: Breaking Knowledge Silos to Catalyze Culture Change and Organizational Transformation."

Stop by the showcase after a full day of stimulating sessions to mix and mingle with other conference attendees, speakers, and our conference sponsors.

Today’s business landscape is changing faster than ever before in history. The power of inclusive engagement and collaborative curiosity cannot be overstated. Join leadership strategist and award-winning author Dan Pontefract as he unveils essential techniques to cultivate a culture where every voice is valued and heard. Drawing on global primary research and more than 25 years of experience with leading organizations, he shares actionable insights and transformative strategies that empower KM teams to work better together. Gain expert tips on creating an environment where collaboration prospers, every team member feels genuinely valued, and the opportunity to bloom is open to all.

As organizations integrate AI into their product ecosystems, innovative KM practices are essential to keep information relevant and useful. In the age of GenAI and LLMs, the principle of “garbage in, garbage out” remains true—AI systems are only as effective as the data they process. Chmaj discusses emerging content models, new competencies, advanced authoring techniques, and governance practices that are transforming the KM landscape. It’s vital that companies evolve their technology, resources, and strategies to unlock the full potential of AI-driven KM capabilities. In this dynamic and complex AI landscape, content remains king! Get lots of insights and ideas from our experienced KM leader.

The productivity of knowledge workers is critically important to the growth and profitability of businesses. However, they remain weighted down, spending nearly half their time on mundane tasks, leaving less time for the work that matters most. An organization’s information is the lifeline that provides the insights required to gain collective intelligence. Speakers discuss how organizations can gain a strategic, competitive advantage by leveraging knowledge work automation. They share actionable insights on harnessing the power of automation and AI to eliminate information chaos, improve productivity, and reduce business risk to enable knowledge workers to thrive. 

Generative AI and large language models (LLMs) are reshaping the landscape of corporate knowledge management, heralding a new era where technology speaks our language and enhances our work. Over the past year, retrieval-augmented generation (RAG) has emerged as the premier method for applying LLMs to corporate content, proving its value in real-world applications. However, the journey doesn't end with RAG; in fact, it’s just the beginning. Evernham shows how AI is transforming KM with real-world examples of organizations' use of RAG to unlock the full potential of their knowledge; introduce our new digital colleagues, AI-powered assistants that work alongside knowledge workers, to enhance productivity and decision making; and peeks into the future with a look at multimodal AI and agents poised to perform complex tasks and accelerate innovation.

The KM and knowledge graph (KG) communities have detected each other, but so far, there has been little integration or alignment. This is kind of a tragedy as the two communities have so much to offer each other. The KG community has vast amounts of data and information but little knowledge. The KM world has knowledge, but most of it is disconnected from the information it was spawned from, as well as the information it is yet to create. The KG community has a well-oiled machine for organizing data and information in machine processable and beautifully visualizable formats. The KM community has perfected the ability to find and distill knowledge, but it seems to end up in text or internal wiki-like structures. McComb introduces a framework for working together, extending each other's spheres of influence by discussing the essential difference between KM and KG, how knowledge could be stored in a graph database providing far richer avenues for access and combination, and how real-world organizations can benefit from this integration. 

The “great crew change,” the “brain drain,” “the retirement bubble”: Whatever you call it, there’s a need to capture knowledge lost by attrition, whether it stems from the retirement of the Baby Boomers, the lure of opportunities at other companies, or changing roles. How do you stem the loss of critical skills and capabilities and transfer that valuable knowledge to the next generation while maintaining quality and consistency in product and service delivery in today’s rapidly evolving workforce? TechnipFMC has developed a knowledge transfer process based on the premise that an expert doesn’t know what they know. Rather, it’s the people who are dependent on the expert’s knowledge and expertise who take center stage. Because of their dependency on the expert, these “next perts” are well-positioned to articulate the critical knowledge that needs to be captured. Our speakers share their seven-step knowledge transfer process, where focus groups and surveys are deployed to define the expert’s knowledge, skills, and expertise, which is then assessed and mapped to isolate the most critical knowledge that, if lost, would adversely impact the company. They cover the tactics used to preserve and share the knowledge to the appropriate audiences using platforms such as webinars, videos, and multimedia, wikis, interviews, storytelling, training, tutorials, elearning courses, and discussion forums for CoPs. These efforts ensure the company’s greatest asset—the knowledge of its people—is both celebrated and documented for the next generation. 

A fundamental distinction between an information system and a digital KM system lies in the integration of a knowledgebase. Many U.S. government and Department of Defense organizations predominantly use Microsoft 365 yet lack dedicated KM systems equipped with knowledgebases. 
Our speakers talk about Abt Global, a mission-driven global consulting and research firm, where effective KM is vital for driving growth. The organization’s ability to leverage collective expertise fuels agility, collaboration, and innovation—critical capabilities for expanding into new markets and larger opportunities. Teams at Abt Global were struggling to quickly find and utilize critical information at scale, including internal experts, proposals, solutions, and past performance data. This knowledge gap hampered employees’ capacity to identify opportunities, develop proposals, and deliver projects, all of which directly impacted business growth, reputation, and client outcomes. To tackle this challenge head-on, Abt Global invested in a Microsoft 365-based KM solution to modernize the employee experience, promote contextual knowledge delivery, enhance search capabilities, and enable seamless collaboration. Hear how this solution broke down knowledge silos, unleashed their intellectual capital, and measurably improved outcomes. 

When done right, knowledge exchange can build the capacity, confidence, and conviction of individuals and groups to act, and it can also influence results at the institutional and even systemic levels. Kumar and Vovides tell the story of Art of Knowledge Exchange (AoKE), World Bank Group’s (WBG) key reference on client and staff learning, which made a cross-sectoral knowledge exchange methodology directly relevant to an extensive group of sectoral specialists and practitioners and helped institutionalize a results-focused approach to knowledge exchange across the WBG. He discusses good design and results at the core of successful knowledge exchange; a structure to guide knowledge exchange activities to be uniquely results-focused by defining clear objectives and linking them to a series of knowledge and learning outcomes; a common framework and language/taxonomy for knowledge exchange interventions; an intuitive road map; a well-structured toolbox; and practical, real-world examples, all built on the foundation of a tried and tested results framework. Shapiro discusses how a Merck spinoff matured, evaluated better search tools, and rolled out multiple successful enterprise search solutions, including GenAI. Discover how Organon monitors and evaluates enterprise search for improved knowledge exchange.

Building collaborative communities and knowledge-sharing platforms is key to enterprise success. Our industry partners share case studies of how their technologies support today’s enterprises. 

This year’s fun networking event follows rousing discussions about AI and KM as well as search, data analytics, taxonomies, and more. Join your colleagues for a casual evening and stimulating conversations! Meet some new colleagues. Share your experiences and challenges while having fun. This meet-up will take place in the hotel bar. A cash bar will be available.

Futurist and popular KMWorld speaker Rasmus explores the reasons AI needs KM. He looks at the manual processes involved in AI that requires KM or KM-like disciplines in order to provide ongoing value, stability, history, and insight to AI developers. These areas include, but are not limited to guardrails, LLM metadata, context models, prompt management, model management and retirement, new knowledge or lack thereof, and retrieval-augmented generation (RAG). Get an understanding of the areas of need but also practical suggestions for managing them.

Standardized retention of critical knowledge interviews have been used to extract tacit knowledge from experienced workers to pass on to new staff and to protect the business from knowledge loss due to natural attrition. Combining this with newly available data analysis techniques, Merck analyzes large bodies of data for trends based on sentiment in novel ways. Chen presents use cases on organizational data that has been gleaned to provide recommendations to leaders on how to effectively pause and restart areas. She discusses the pros and cons of manual analysis, broad AI tools, the strategic application of AI and natural language processing (NLP), and how their activities impacted employee satisfaction and sense of community. Isaksson discusses how AI-powered knowledge solutions can help shift focus from mundane work to value-add activities that drive real business and customer value while fostering a culture that ensures the well-being of its people. She provides tips on building a knowledge-centric culture, motivating and inspiring the people in your organization, preparing for cultural and mindset changes, and how to reap the full benefits of AI-powered knowledge, the key to organizational success!

GenAI is having a profound impact on the knowledge economy and knowledge work with the promise of improved productivity for knowledge workers. As we embrace these transformative forces, organizations must go beyond mere AI integration into existing workflows and reimagine how work is performed. GenAI should empower the GenAI worker—the curious questioner who drives a learning organization—transcending mundane tasks and fostering creativity and innovation. Knowledge improves the human ability to create and engage in innovation, and now is the time to build knowledge capacity and harness GenAI wisely, bridging the gap and propelling us toward a future where AI truly becomes our advantage. Our experienced analyst and researcher shares trends, strategies, and practices to future-ready your enterprise with GenAI.

In the realm of KM, the 2024 journey toward innovation includes implementing GenAI. This first step revolutionizes knowledge work by integrating smart and responsible AI technologies, augmenting human roles, and pioneering new frontiers in KM. This foundational shift not only enhances how we manage and disseminate knowledge but also invites us to envision the future of knowledge work, having AI as a collaborative partner. The second stage of this evolution introduces a groundbreaking concept: specialized GPTs, termed robot-based knowledge agents. This novel term encapsulates the leap beyond traditional AI applications, marking a significant milestone in KM. These agents complement the next generation of knowledge workers, equipped to deliver unparalleled efficiency, drive innovation, and redefine our value propositions in KM. 

This session features three presentations looking at the transformative role of AI in enhancing KM practices. Kaufman looks at AI's impact on content creation and strategy, highlighting the ways in which technologies such as natural language processing (NLP), machine learning, and ChatGPT are redefining the landscape of knowledge sharing. He discusses the concept of "AI intuition," emphasizing the importance of recognizing AI's potential to automate and improve KM processes. He offers insights into developing this intuition among KM professionals through hands-on experience with AI tools, identification of use cases, and prompt engineering, a novel approach to content creation that leverages AI to produce relevant and effective knowledge content. He outlines the key elements of crafting AI prompts and demonstrates their application in real time, underscoring the significance of managing prompt drift to maintain content accuracy and relevance. Crockett discusses content engineering and the value it brings to internal and external KM, including a case study on how personalizing product release notes led to a 300% increase in engagement by customers. All our speakers provide practical guidance for integrating AI into KM strategies and emphasize the benefits for the enterprise in enhancing user productivity and attaining operational efficiency.

This year’s fun networking event follows rousing discussions about AI and KM as well as search, data analytics, taxonomies, and more. Join your colleagues for a casual evening and stimulating conversations! Meet some new colleagues. Share your experiences and challenges while having fun. This meet-up will take place in the hotel bar. A cash bar will be available.

Glover emphasizes a harmonious balance between human creativity and technological tools. The success of KM initiatives heavily hinges on organizational culture—a culture that embraces change—and learning is crucial for leveraging AI and other technologies effectively. Glover believes culture eats strategy for breakfast and explores how a supportive culture acts as the bedrock for strategic implementation. Cultures resilient to change, however, may significantly hinder the adoption of new technologies, thereby stifling innovation and growth. Moreover, the importance of emotional intelligence, a growth mindset, and diverse skills such as storytelling are discussed as essential for fostering an inclusive and productive organizational environment. By integrating lessons from communications, change management, project management, and employee engagement, our experienced KM practitioner shares a road map for KM professionals to build robust, future-ready organizations and illustrates the vital role of inclusivity in the workplace and the synergy between generations to amplify knowledge creation. Get tips and techniques for how the dynamic interplay of human and artificial intelligence can guide us through current and forthcoming challenges, crafting new paradigms of value in an increasingly digital landscape. 

Change management continues to be a priority skill set for KM teams to develop. Drawing from recent APQC research, Braksiek explores how KM teams effectively navigate and manage change, emphasizing the synergy between the science and art of change practices in the new age of AI. Key points include the significance of change management practices and capabilities for KM success, how change contributes to an overall mature KM program (as per the APQC KM maturity model), and practical examples from accomplished KM organizations.

Our speakers from Sweden explore the convergence of KM and AI through the lens of the Swedish fika tradition. Through an engaging discussion and practical examples from their combined 50 years of KM and tech experience, they demonstrate how embracing the spirit of fika can transform KM initiatives and AI implementations into vibrant ecosystems of tacit knowledge exchange. Infused with humor and anecdotes from lived experiences being a Swede in America (Isaksson) and an American in Sweden (Brushammar), this conversational session has a personal touch and embrace the fika essence. Speakers explain how open communication and camaraderie can inspire effective tacit knowledge transfer within organizations and share practical approaches for cultivating a culture of trust, openness, and collaboration that fosters continuous learning and innovation. They describe how AI technologies can augment the capture and sharing of tacit knowledge among employees, while preserving the human touch essential for meaningful interactions and finding the perfect balance between human expertise and AI-driven insights in KM processes. 

In an era of technology and AI, people skills are needed more now than ever to make the human connection people are longing for. KM is all about the people, and our first speaker looks at research on the top people skills from KM experts around the globe and why they are so critical to engage teams and effect the change you are trying to make in your organization. She then discusses her own company's journey on how it utilized top people skills to gain adoption and grow its KM program. Somppi shares actionable insights on how organizations can gain a strategic, competitive advantage by leveraging knowledge work automation. AI can eliminate information chaos, improve productivity, reduce business risk, and enable knowledge workers to thrive. Hear how organizations can leverage AI to pull insights from hidden documents and organize content to make it instantly accessible and contextually relevant.

In today's knowledge-driven business environment, integrating effective KM into employee onboarding is not just an advantage—it's a necessity. DeVore discusses the critical missteps organizations often make during the onboarding process that undermine their KM efforts and foster an environment of continuous learning and information sharing. He outlines practical methods to measure the efficiency of knowledge transfer organizations, looks at common pitfalls trainers encounter that inadvertently stifle knowledge dissemination, and discusses strategies to avoid these errors. Young shares tips for making post-HR onboarding easy for new hires while accelerating the speed of collaboration between them and their teams. She provides targeted strategies to enhance and accelerate collaboration within the organization, such as leveraging knowledge mapping. By developing a comprehensive map that details where expertise and information reside within the company, new hires can independently navigate their learning paths and efficiently connect with the right people and resources, shortening the time to full productivity and creating sponsorship programs for new hires that bridge the gap between onboarding and full team integration. Assigning a sponsor from the team helps new employees assimilate company culture and workflows more deeply and provides a reliable point of contact for navigating early challenges. Implementing a project-based integration approach can foster immediate collaboration. By involving new hires in small, manageable projects from the start, they can quickly learn through doing, which helps them effectively understand team roles, expectations, and dynamics. Gain insights into practical steps that can be taken after the initial onboarding phase to ensure new hires are well-acclimated and contributing members of their teams and create a supportive environment that nurtures continuous learning and team cohesion. 

This year’s fun networking event follows rousing discussions about AI and KM as well as search, data analytics, taxonomies, and more. Join your colleagues for a casual evening and stimulating conversations! Meet some new colleagues. Share your experiences and challenges while having fun. This meet-up will take place in the hotel bar. A cash bar will be available.

In today’s landscape, the airwaves resonate with discussions about AI. Embracing emerging technologies has elevated KM efforts. From the early days of portals and expertise location to the collaborative power of wikis and shared spaces, technology has consistently given KM a much-needed boost. This conversation begins with Hubert discussing how experts fit into the AI equation with knowledge creation, capture, and seamless transfer. Given observations from today’s breakneck speed of business, the challenges have only gotten more daunting and the need for tapping into expertise is needed even more. She shares a model for thinking of how to enable AI using the skills of experts. In the dynamic interplay between human expertise and AI, she provides a path to unlock the potential for groundbreaking insights that lead us into uncharted territories of new knowledge. As we navigate this synergistic landscape, both seasoned experts and the KM programs that bolster their efforts must seize the opportunity to capitalize on their collective wisdom. Those who work smarter, fearlessly embracing collaboration with AI, are poised for success. 

Is your enterprise experimenting with generative answering, but facing significant challenges with data cleanliness? Olguin shares best practices and discusses the strategic role KM plays in delivering effective GenAI. Get proven strategies for refining generative outputs and practical insights from enterprise customers including Xero, F5, and Forcepoint. Uncover proven metrics and KPIs to ensure accurate, relevant, and safe generated answers, optimizing your knowledgebases. Enhance productivity, proficiency, and decisionmaking with curated generative answering.

Coleman cuts through the chaos and offers a practical road map for KM teams grappling with the AI revolution. He discusses three key steps to make no-regrets AI investments while safeguarding your hard-earned KM progress: how to separate AI fact from fiction; how to identify AI opportunities that actually complement your existing KM ecosystem; and how to implement a measured, value-driven approach to AI adoption. Get actionable insights to navigate the next phase of KM with confidence.

We have all been wowed by amazing examples of generative AI. But beyond the headlines, things look a little different. While employees are leveraging generative AI to increase productivity on individual and team levels, enterprises are frequently not yet using generative AI in a structured manner across their organizations, mainly due to the lack of private enterprise data. Capturing tacit expert knowledge is where big quantifiable gains can be made. The founders of Sugarwork share a customer case study to highlight the productivity gains the business experienced when they captured and deployed tacit expert knowledge at scale using generative AI.

Meet your fellow participants! Take part in our popular interactive knowledge café, where you can share your KM challenges with colleagues and KM practitioners. Each table has a KM industry mentor and topic; you will have time to visit four different tables during the café. Meet and learn in this intimate networking atmosphere with thought leaders and practitioners of the KM industry.

MENTORS & TOPICS INCLUDE:

• Dan Rasmus, Serious Insights–Apple Intelligence & KM
• Kim Glover, Director, Internal Communications, Global, TechnipFMC–Growing a KM Culture: Getting Engagement
• Stan Garfield, Author of six KM books, & Founder, SIKM Leaders Community–Community Management
• Art Murray, CEO, Applied Knowledge Sciences, Inc., & Director, Enterprise of the Future Program, International Institute for Knowledge & Innovation–Knowledge Curation & Governance
• Amanda Sweet, Technology Innovation Librarian, Nebraska Library Commission–Knowledge Sharing & AI Tools for the Enterprise
• Lynda Braksiek, Principal Research Lead, KM, APQC–Change Management
• Jeff Willinger, Chief Inspiration Officer–AI & M365 Copilot for the Enterprise
• Michael Peter Edson, Museum Director, Founder, and Digital Cultural Strategist–Creative/Innovative Thinking for Teams
• John Lewis, CKO Explanation Age LLC–Story Telling & Thinking for Enterprise Impact

KM has always been about finding answers, sharing information and knowledge, supporting decision-making and innovation, gaining insights and more. How this is achieved is changing at an incredible pace so KMers need new tools, technologies and strategies to keep pace and succeed. Our longtime KM practitioner, thought leader, and developer of the Cynefin method, provides an entertaining learning environment and shares techniques you can use in your enterprise. Want to create a resilient organization able to handle the unknowable unknowns? Don’t miss this!

As AI becomes more ubiquitous, enterprise leaders face a challenging dilemma. On the one hand, they need to leverage the power of AI to increase productivity and drive innovation. On the other hand, they must protect their organizations against the risks of open generative AI solutions. Dallhoff details the advancements and risks of generative AI in the workplace, including critical issues like data leakage, hallucination, and legal consequences. He offers insight into how enterprises can safely harness AI by adopting thoughtful approaches, like the ones his company prioritized when building the Pryon platform.

KMWorld magazine is proud to sponsor the 2024 KMWorld awards, KM Promise & KM Reality, which are designed to celebrate the success stories of knowledge management. Information Today, Inc. is excited to introduce and present a new award: KM Community Award recognizes an individual who has made a significant impact in the KM community. The awards will be presented along with Step Two’s Digital Awards, where you get a sneak peek behind the firewall of these organizations. Find out more—kmworld.com/Conference/2024/Awards.aspx

In today’s age of rising GenAI, KM leaders need to learn how to leverage new technologies while continuing to deliver efficient and inclusive solutions for organizations. They increasingly need to justify their relevance, get “buy-in,” and up their game. That means knowing how to better read and communicate with people, quickly grasp what’s important, and stay grounded while engaging colleagues in implementing KM processes. Our speaker uses tested neuroscience concepts to provide tips for promoting trust within teams, learning, and decision making. She explores how these can help colleagues understand and embrace KM processes and foster knowledge-sharing cultures. She draws on recent research to share neuroscience hacks to improve mindful communication with stakeholders as well as practical techniques to support resilience, especially for KM practitioners facing resistance often accompanying slow organizational progress in establishing KM policies.

Henry Ford famously said, “The only thing worse than training your employees and having them leave is not training them and having them stay!” This powerful statement challenges you to rethink how you nurture and retain your talent. So, do you focus on attention (teaching), adjustment (coaching), or accomplishment (mentoring)? These crucial questions can make a difference in your professional development strategy. Get tips, techniques and lessons learned from our speaker.

Successful KM initiatives require a harmonious balance between the systems and human lenses, recognizing that neither can exist effectively without the other. While systems provide the infrastructure and tools, it is the human factor that drives knowledge creation, sharing, and application; it's important to understand that they are not mutually exclusive, and one cannot exist effectively without the other in the context of successful KM initiatives. Teague shares her research findings on the dichotomy and delicate balance of people vs. process; one is not “better” or “worse” than the other, however, they both need to work in tandem in order to get the most out of your KM system. 

In today's knowledge-driven world, organizations rely heavily on effective knowledge sharing. Our speaker explores a comprehensive process for governing knowledge centers, centralized platforms for employees to access the knowledge they need when and where they need it. Implementing a best-in-class governance process helps ensure these sites become trusted sources of the best possible knowledge. Lavelle discusses how AI can be a powerful tool, but ultimately, human oversight remains essential. Get best practices for each step of the governance process. Our second speakers discuss how KM is steadily growing beyond its traditional role of providing the framework for sharing, applying, and managing the knowledge and information of an organization to serve as the foundation for advancements in AI. This shift in the role of KM at an enterprise level has heightened visibility for KM and has pushed the industry to identify more optimized ways to organize teams and measure and convey their value to organizational leaders. AI has been fueling the democratization of knowledge and data, leading to a growing recognition of the interdependence between data, information, and KM teams. By employing knowledge models and semantic standards such as metadata, business glossaries, taxonomy/ontology, and graph solutions, a semantic layer has emerged with a framework to aggregate and connect traditionally siloed data and content, explicitly providing business context for data and serve as the layer for explainable AI. Through a semantic layer, teams are able to locate and work with not only enterprise data, but their own, unit-specific knowledge as well. By bridging the gap between data teams and business-oriented KM teams, organizations are able to better connect technical initiatives to the actual use cases for employees, customers, and other stakeholders. Speakers present case studies, best practices, and lessons learned and discuss how these technological and organizational shifts in priority are blurring the lines between the traditional divide between knowledge and data management practices.     

AI features and capabilities are becoming an integral part of KM solutions both internally and in vendor KM commercial off-the-shelf (COTS) products. The integration of AI technologies into KM solutions significantly enhances KM capabilities. From automating the categorization and tagging of knowledge resources, predicting trending knowledge areas/topics, improving content creation using GenAI, and enabling search to be more relevant, precise, and efficient, AI is finding more ways to enhance KM. With the integration of AI into KM solutions comes the need to ensure that AI applied to KM is without bias, can explain how answers are derived from the collective knowledge of the organization, and that the people who use and rely on the solution can trust its accuracy—basically, that it is ethical and trustworthy. Rhem discusses the IEEE CertifAIEd Assessor, which can provide a comprehensive exploration of social responsibility in autonomous intelligent systems. 

Harvesting and digitizing tacit knowledge at scale are now possible and needed more than ever to fuel and shape the elusive promise of AI-enabled KM. Whether leveraging collective knowledge to enhance performance and create new value or harvesting strategic and organizational intelligence for success amidst change, achieving these promises requires deep human insights born from experience and learning—tacit knowledge. recent advances in AI have enabled the delivery of knowledge harvesting agents (KHAs), composed of tasks-and-instructions, content chunks, and graphs. They replicate a proven knowledge harvesting methodology and enhance interactions with subject matter experts by leveraging pattern recognition, tacit/implicit KM, adaptive reasoning, and automated skills. Our seasoned knowledge harvesters share insights from their combined 50 years of experience to discuss goals and options for making tacit knowledge explicit and accessible, transforming how organizations leverage human and artificial intelligence. 

Taxonomies and ontologies, often called knowledge organization systems, are foundational structures used in many applications to support findability. If they are knowledge organization systems, are they themselves knowledge? If we recognize knowledge organization systems as knowledge, then we can structure them in ways reflecting the organization’s domain(s), the organization's perspective and thinking, and embed truths in these structures as an additional layer of meaning connecting other forms of knowledge. Because taxonomies are knowledge, embedded truths, encoded biases, and false assertions can find their way into the semantics, potentially putting the business at risk of damaging exposure. In this session, learn how to recognize when potentially dangerous information is being encoded in semantic structures. Also, hear techniques and governance processes for developing and maintaining current and accurate metadata models to support knowledge management practices.

For decades, knowledge workers, organizations, and KM practitioners have tried to resolve "the search problem" without relying on users being fluent in meta data and taxonomy-speak. It has been a constant battle without any winners! Content management is hard. What is logical and intuitive to one person is far from logical to another, so we tend to build knowledge systems and content management solutions that equate “knowledge” to “content” at the expense of experience, expertise, and peer-to-peer learning. With modern technology such as AI and intelligent solutions such as SharePoint Premium, Viva, and Copilot, we have all the tools we need to be able to mine and tap into all different aspects of an organization’s knowledge: codified, documented, and personal. Isaksson shares some thoughts and principles for taking a holistic approach to knowledge sharing, retention, and monetization and discusses new ways to grow business value by cultivating every aspect of organizational knowledge that goes beyond content management and search. Nozari discusses how the rate of data creation in the digital environment today significantly exceeds our capacity to govern it effectively. This discrepancy poses risks of data spillage and highlights the urgent need for automated systems to enhance data governance and quality. She explores the innovative integration of AI in role-based access control to ensure robust data governance and access at the time of need and looks at how we can use various levels of metadata and labels to classify enterprise data or manage corresponding sensitive information classes within an organization based on an adaptable rule foundation (ARF) system. This approach groups enterprise data into core (universally applicable across an industry or the organization), common (domain-specific or relevant to only certain business units), and unique (group of organization-specific). Get tips and ideas from our speakers about harnessing AI to transform content management, data governance, and knowledge sharing, making it more dynamic, secure, and efficient in the era of exponential data growth.

Getting the right content to the right people at the right time and in the right format can be achieved at scale with AI. Aasman discusses data integration, scalability, and the interpretability of AI models. He showcases cutting-edge solutions and methodologies developed to overcome these hurdles, ensuring the effective deployment of knowledge graphs and neuro-symbolic AI in real-world scenarios. Gain insights into the future of KM, equipped with actionable strategies to harness these advanced technologies for optimizing organizational knowledge assets.

This session tackles the crucial role of content preparation for AI in KM. Discover strategies for optimizing content for AI-powered features such as generative search. Hill delves into everything from data structuring to crafting effective prompts equipping you to unlock your knowledgebase's true potential. See AI in action with a compelling case study showcasing a real-world application of generative search and its significant impact. Learn how to transform knowledge boundaries into a springboard for limitless growth.

Where is KM going with all the AI developments for the enterprise? How are our organizations responding to the social structures and changes in our world? How are they innovating and exceeding customer expectations? Get inspiration from our practitioners and futurists and be ready for KM in 2025.