Are you new to KM? 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.

This workshop is all about learning and doing it the new way! First, test your art skills with our experienced artist and longtime KMer while discussing creativity with art-based interventions. Then discover what you can learn from the cooking skills and recipes of our ancestors and how they have been handed down to others. Do we learn by doing? Experimenting? This fun event challenges your thinking, creativity, and culinary skills by offering a great opportunity to connect with fellow KMers.

AI ethics and governance, as well as organizational standards and practices, are at the top of people's minds. Join our expert and recent AI 2030 Responsible AI Leader of the Year recipient, who leads this interesting and exciting conversation. Explore the ethics and learn how different standard organizations as well as corporate enterprises are setting guidelines for the use of AI and possible impacts on future implementations.

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. In this workshop, Hanley takes a deep dive into the out-of-the-box features of SharePoint Online, Copilot, 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 newer capabilities like the Brand Center and Copilot Agents. By the end of the workshop, you 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.

Expert knowledge, often tacit and deeply embedded in experience, is difficult to capture and transfer effectively. Many experts may not consciously recognize the skills they use or understand how to communicate them to others, creating challenges in knowledge sharing among teams and external partners, especially on high-stakes, time-sensitive projects. This becomes even more critical in emergency situations, such as disaster response, where knowledge is key to mission success. This master class-style workshop addresses these challenges through a combination of case studies, expert insights, and GenAI tools. Drawing from the experiences of more than 200 top-level executives, engineers, and scientists across Fortune 500 companies, the military, and government agencies, our speakers explore strategies to enhance knowledge transfer and look at leveraging GenAI to assist in analyzing and transferring tacit knowledge captured through interviews, especially AI technologies that can help bridge the gap between experts and novices, creating a dynamic environment for knowledge exchange that is particularly valuable in dispersed or remote teams. By working through real-world challenges from your organization, they discuss strategies to enhance knowledge flow internally and externally, ensuring that best practices and lessons learned are not lost. Participants gain hands-on experience with AI-driven tools to document, share, and manage knowledge transfer processes.

Look at the elements of a KM strategy with a practical exploration of how to use AI to build a KM strategy. Work with ChatGPT, Gemini, and others to build out goals and objectives, create lists of knowledge assets and resources to management, look at approaches to knowledge and workflow inventories, tackle defining the technology architecture, outline governance and compliance options and issues, list potential KPIs, and build out an implementation road map. These won’t be simple prompts, but conversations with AI, collaborative development that will reflect the businesses for those attending the workshop. Rasmus guides thinking about how a KM strategy fits into the larger organizational strategy and how future considerations need to inform contingencies.

As the volume of enterprise knowledge continues to grow exponentially, traditionally human tasks are increasingly being performed by AI, taxing the limits of KM. As a result, leaders and decision makers have far less visibility into how and where their organization’s knowledge is generated, along with its validity. How many of your day-to-day 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. Murray’s popular workshop shares 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 ever-widening range of possible impacts, positive and negative. Don’t let the volume of knowledge overwhelm you. Rather, achieve greater performance and value from KM by putting a formal governance model in place, reducing risk and uncertainty, and gaining greater value from your organization’s ever-expanding collection of human and machine knowledge assets.

The pilot worked. Now what? Many organizations have succeeded in building GenAI prototypes. But when it comes time to scale from a chatbot that works in one department to an assistant that spans the enterprise, they hit a wall. Why? Because scalable GenAI depends not just on models, but on content infrastructure, governance, and cross-functional alignment. This 3-hour workshop focuses on the architectural, organizational, and operational challenges of scaling AI-powered knowledge systems. Through frameworks, real-world examples, and hands-on exercises, this workshop explores what it takes to go from content chaos to coordinated delivery. Learn how to design content models that flex across departments and use cases, operationalize taxonomy, and metadata at scale without overwhelming teams; create governance structures that support AI enrichment and iteration; identify and address blockers to enterprise-wide RAG; and communicate the business case for KM as an AI accelerator. Whether you're expanding a chatbot, building a virtual assistant, or preparing enterprise content for broader AI integration, this workshop offers a practical, cross-functional blueprint to make your AI efforts sustainable and strategic. Because if your AI can’t grow with your business, it’s just another pilot.

This interactive workshop is designed to explain what ontologies are, how they are created, and how they are used. Carlson discusses the relationship of ontologies to knowledge graphs and their use in machine learning systems such as Generative AI. Speakers provide practical tactics for designing, building, maintaining, and governing ontologies in large enterprises. It includes case studies from Fortune 100 companies, practical tips for providing stakeholders with resources to navigate internal tensions around implementation, and proven techniques for any organization.

Internal communication, collaboration and knowledge sharing are critical for KMers, and it isn’t often that you get an insider's view into an organization's intranet, especially presented by the experts in intranet design and highlighting amazing successes. This practical and interactive workshop shares a best practice approach to intranet design featuring examples from other organizations and a streamlined methodology to help you get the most out of your intranet and ensure it becomes the essential tool we all know and love. It features tips and techniques for designing and testing to elevate your intranet to the next level! Bring along your examples and get practical improvement ideas to implement immediately.?

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!

No matter how far AI evolves, it can’t be left to manage itself. Organizational knowledge, both human- and machine-generated, will always require human curation. As we become increasingly inundated by the sheer volume of data and information, AI will be called upon to perform more tasks that have been traditionally performed by humans. This means having a reliable, consistent curation framework is more critical than ever. This workshop shows you how to determine what knowledge is worth capturing and in what form; vet knowledge and keep it up-to-date; 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 and how to integrate them into a single system; and make knowledge continually flow and grow, from a single individual to an entire community of AI-enabled experts and practitioners. Learn from the many decades of experience from our KM expert and take home an initial plan for getting the greatest value and performance from your organization’s human and machine knowledge.

A longtime KM practitioner and writer, Garfield shares 30 lessons learned over 30 years and from 1,000 blog posts! Learn how to optimize your KM program, engage stakeholders, employ collaborative and team practices, encourage innovation, and more.

Governance is a hot topic these days, and our practitioners share their experiences, insights, and practical tips. Join the discussion, share your experiences, challenges, and strategies.

Neuroscience has found that we are wired for stories. And organizational activities are also related to story patterns. With the movement toward collecting AI prompts, story patterns provide a way to organize activities and prompts to align with your organization's operational story. This workshop goes beyond the foundations of story psychology and focuses on applications for KM and AI. Specific approaches and exercises are included to support strategies around KM systems, cultures, leadership, knowledge sharing, project documentation, and AI prompts. Direct comparisons are shown between story structure as 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.

This workshop explores AI from the strategic viewpoint of stakeholders and senior leadership. Designed as part of an AI literacy program, it aims to bridge the knowledge gap between emerging AI technologies and executive decision making. The session introduces core AI concepts including machine learning, deep learning, and neural networks, while also addressing practical applications across industries. Emphasis is placed on the challenges facing corporate boards—such as understanding AI's ROI, managing risk, and incorporating ethical considerations into AI governance. Through interactive discussions, polls, and case studies, participants engage in real-world scenarios that demand executive-level oversight and decision making. Rhem examines a flawed talent management AI system and a controversial facial recognition startup to highlight both the potential and pitfalls of AI adoption. It also encourages participants to adopt a proactive, informed approach to AI implementation that aligns with organizational values and public trust.

Many organizations describe the team collaboration landscape as the Wild Wild West with thousands of workspaces getting out of control. A place where 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 workspace. Our experienced presenter illustrates how to “tame” teams through a live case study; provides tips for developing good collaboration practices and good processes for change, adoption and making digital lives easier; shares good training and support strategies and techniques including governance structures; and more. Get lots of ideas for boosting collaboration with digital skills and custom design.

During the last 3 decades, many organizations have built communities of practice (CoPs), and they play many roles: hosting forums for members to draw on the knowledge of more senior staff, collectively developing technical procedures and innovations, managing mentoring relationships, sponsoring discussions for collectively thinking through particularly difficult technical issues, and building relationships between their members. People are the center of CoPs, and technology is a background enabler. In today’s virtual and remote working world, technology platforms are being honed to adapt to the world in which we currently live and connect. These platforms thrive on thoughtful exchange in a practice becoming known as “working out loud.” Sharing ideas and perspectives in new ways allows us to work things out together or cast our nets wider for support. The human side, building teams and enabling knowledge sharing, is equally important. Our experienced community leader discusses community fundamentals and foundations; key principles for successful CoPs; types of communities and examples of their use; community culture; community management, including creation; and preventing redundant communities as well as roles, goals, and measurements. Get new insights and techniques for your communities, share your experiences with your colleagues, and take your CoPs to the next level.

Text analytics and GenAI are both platform technologies that support multiple applications. The number and variety of powerful applications that organizations are building using them are staggering and growing. However, without careful attention to a solid foundation, many of those apps will not only fail to deliver real value, they are susceptible to unethical manipulation. By combining these technologies, you get the best of both: GenAI that is smarter and safer and text analytics that is richer and easier to develop. GenAI’s limitations include tendency to hallucinate. LLMs were trained on public information, but as we’ve seen many times, the content and vocabularies behind the enterprise firewalls are quite different. Text analytics can refine the general answers of GenAI with precision. Text analytics limitations deal with machine learning (ML) and sematic rules. ML is completely dependent on good training sets and so produces limited precision; semantic rules require a significant effort and expertise to develop. Adding GenAI to that development process enables rules that retain their accuracy while significantly reducing the development effort. Learn how to set up text analytics and GenAI environments starting with selecting the right components (software, LLMs, etc.). Our experienced practitioner, speaker and the conference chair of Text Analytics Forum, focuses on creating a text analytics foundation (autocategorization, data extraction, and more) and a GenAI approach that combines text analytics, knowledge graphs, prompt engineering, merging enterprise LLMs with the larger public LLMs, and smarter search and RAG capability. He provides tips and techniques that remove bias in the training sets, reduce hallucinations, and guard against accepting generic, superficial answers that are accepted because it’s easier to just trust the GenAI answers. You will definitely learn lots in this interactive workshop.

This interactive workshop features strategies and tools to improve team dynamics, strengthen communication, foster innovation, and enhance performance. Everyone wants to be a part of a great team and feel valued for their contributions, but great teams don’t just happen! High-performing teams intentionally create psychological safety, encourage open communication, and build trust. They align around shared goals, clarify how decisions are made, and hold one another accountable. They are growth-oriented, resilient, and able to pivot when needed. How comfortable are you initiating conversations that drive team alignment, performance, growth, and accountability? Join a long time KM’er (now focused on leadership and communication skills development) for a practical, engaging session filled with tips and real-life examples to help your KM team thrive.

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.

Kon, a global leader in enterprise-grade language AI, explores how organizations can effectively harness the power of AI to transform KM, accelerate decision making, and unlock new levels of performance across sectors. From transforming financial institutions with productivity and efficiency gains to streamlining clinical workflows in healthcare and supporting secure, high-stakes applications in the public sector and national security, he highlights real-world use cases and lessons learned from the frontier of AI deployment. Kon shares insights into how enterprise-ready AI systems can be customized, governed, deployed, and scaled with confidence, helping to realize a world where technology commands language in a way that’s as compelling and coherent as we are. He shares his views of the landscape and frontier of AI progress with the goal of solving cutting-edge scientific problems, making research breakthroughs with continuous learning, empowering different perspectives that ensures responsible innovation, and building a body of knowledge for all.

GenAI and intelligent agents are fundamentally transforming the landscape of enterprise operations by enabling unprecedented levels of automation, personalization, and efficiency. These technologies are breaking down traditional data silos, allowing for seamless integration and real-time access to information across various departments. In finance, for instance, GenAI is revolutionizing risk management and compliance by automating complex processes and providing actionable insights from vast datasets. Selz walks the audience through a step-by-step process of how to set up and guardrail the system to make it enterprise-ready. He focuses on lessons learned, pitfalls to avoid, and how success of such an initiative can look like.

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.

Learn how leading organizations are revolutionizing their knowledge management with GenAI Workflow – and achieving measurable ROI. See how companies are leveraging GenAI and orchestrating the lifecycle of content creation through depreciation. Discover strategies that are transforming real world organization's approach to KM.

In today’s fast-paced digital environment, organizations need KM programs that are agile, scalable, and AI-ready. This session features a dynamic, client-led facilitated conversation about a recently launched comprehensive KM initiative. Together, they discuss the journey of designing, building, and implementing a global KM program—from strategic vision to operational rollout. Get practical insights into how to create a tailored KM operating and interaction model aligned with business objectives and tips on creating foundational design elements, including clearly defined roles, responsibilities, and accountabilities that foster governance and sustainability. Our speakers share how the program was architected for the future, with AI-ready knowledge templates and a scalable knowledgebase structure designed to support automation and emerging technologies. This session is ideal for KM professionals looking to elevate their programs beyond documentation toward strategic business enablement. Come ready to learn what worked, what didn’t, and what we’d do differently next time.

Africa, home to 1.4 billion people and the youngest global population, is at a critical crossroads. With over 70% of its citizens younger than 30, the continent must urgently build institutional, national, and citizen-level capacity to thrive in the 21st-century knowledge economy. This talk looks at how KM and AI are synergistically leveraged to drive transformative capacity development—particularly in priority areas such as digital skills, green growth, public service delivery, and youth employment. Drawing on case studies from the African Development Bank and World Bank, this session showcases how KM frameworks, communities of practice (CoPs), and AI-driven personalization are being used to improve learning outcomes, promote continuous reskilling, and reduce delivery costs. It also highlights how virtual academies and intelligent knowledge systems are enabling agility, localization, and collaboration across 54 diverse countries. It discusses implementation risks such as digital inequities, trust barriers, and data challenges, and shares tested mitigation strategies and lessons from Africa’s experience to inform KM and AI integration in other emerging economies. Get a future-oriented road map to apply KM and AI in a way that is inclusive, cost-effective, and scalable and helps to unlock human capital potential while contributing to global development goals.

In today’s information-rich workplaces, curating knowledge effectively is key to empowering teams and driving smarter decisions. Join this practical, example-driven session to discover how you can harness the power of SharePoint, Power Automate, Power Apps, and Microsoft Syntex to streamline KM and boost content discoverability. Learn how to enable self-service content submissions using SharePoint libraries and custom Power Apps forms, use Microsoft Syntex to enrich documents with metadata and improve searchability, support curation workflows with custom views and automated processes, organize and distribute content efficiently using Power Automate, and measure impact with analytics and reporting tools. Packed with real-world insights and practical demos, this session is perfect for IT pros, knowledge managers, and business users looking to build scalable, intelligent content curation systems.

Content governance isn't about control, it's about creating a knowledge community and unlocking value. IGM embarked on an enterprise-wide governance journey, leveraging structured COE frameworks to enhance content integrity, optimize KM, and evolve the content ecosystem to support evolving digital platforms. Henderson discusses how IGM systematically refined its governance strategy, streamlining content, implementing improved lifecycle management best practices, and enhancing search accessibility while reducing risk. She shares the benefits, from improved findability and compliance to enhanced collaboration across teams, and how a robust governance framework can drive operational efficiency, mitigate information overload, and position the organization for scalable knowledge management success.

Recent studies find that ROI on full-scale AI deployments is elusive, with most enterprises experiencing less than 50% returns on their AI investments. This raises concern for tech leaders looking to embark on their AI journey—often without fully understanding the cost of not investing in AI at all. Our first speakers discuss the fears many business leaders have about AI investments and ROI by introducing automation capability maturity models—a comprehensive way for organizations to assess their strengths and weaknesses in digital maturity and guide the selection of the right AI solutions. Somppi shares tips and techniques for assessing AI readiness before even investing in the technology so enterprises can more easily choose solutions that align with their goals, balance governance with strategic resource allocation, and dismantle organizational silos. Our second speakers focus on the GenAI workflow designed to deliver high-quality generative search responses within a RAG system. The workflow comprises several key components: content acquisition, which gathers relevant and comprehensive material to form the basis of generative search responses; assessing content adequacy, where rigorous analysis determines if the acquired content can effectively address user queries; and identifying gaps and areas for enhancement. An AI-enhanced editor plays a crucial role by utilizing predefined prompts to refine and improve content quality, ensuring it is engaging, precise, and aligned with user expectations.

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

As agentic AI systems increasingly start to automate decision making and knowledge work, organizations are rethinking KM to ensure accuracy, trust, and human relevance. Our speaker explores how AI disrupts traditional KM—posing risks like misinformation and lost expertise—while offering transformative potential through dynamic knowledge synthesis. Get strategies for human-AI collaboration, governance frameworks, real-world examples of successful (and failed) AI-integrated KM, and ideas for developing adaptive, ethical KM systems that harness AI’s power without ceding control.

In a rapidly evolving digital landscape driven by AI agents and autonomous systems, traditional governance models are being reimagined. Join Phaedra Boinodiris from IBM and a longtime advocate for ethical technology design for a thought-provoking exploration of how governance frameworks must adapt to unlock value responsibly. Drawing on her expertise in responsible AI, organizational design, and AI education, Boinodiris discusses how enterprises can strike a balance between innovation and oversight to thrive in the agentic era.

Enterprise content isn't uniform—it's multimodal, messy, and inconsistently organized across documents, visual assets, databases, and institutional knowledge. This session demonstrates why successful enterprise AI requires an orchestrated multimodal architecture and how to build a strategy based on an information architecture foundation. Discover when to deploy specialized models for different content types, how to handle image chunks and embedded diagnostics differently than structured text, and why using one LLM for enrichment, another for reasoning, and a third for delivery creates more reliable results. Earley shares implementation patterns that future-proof your architecture in a rapidly evolving LLM landscape, providing a systematic approach beyond simply picking a technology first.

Healthcare faces many challenges. Shah discusses how AI is helping to address challenges such as gaps in care delivery and health outcomes by transforming consumer wearables into clinical monitoring tools. She discusses the technical approaches that enable continuous health tracking, the product considerations for building systems that work at scale, and the operational challenges of integrating with existing healthcare infrastructure. Key topics include designing AI systems that process continuous health data without overwhelming healthcare providers, building user experiences that drive sustained engagement, navigating regulatory and privacy requirements, and developing sustainable business models that serve consumers, providers, and payers. She shares real-world implementation challenges, competitive landscape analysis, and strategic considerations for companies entering this space as well as insights into how continuous monitoring is reshaping healthcare delivery while creating new opportunities for technology companies. Pollard discusses how Stanford Health Care applies human-centered frameworks—like EAST (Make it Easy, Attractive, Social, Timely)—to activate knowledge contributors and create collaboration that endures. His multidisciplinary team of healthcare informatics educators, professionals who bridge clinical expertise, technical systems, and adult learning mentors new hires, redesigns onboarding workflows, facilitates digital transition efforts, and creates performance-based education using tools like Epic and ServiceNow. But with diverse backgrounds comes inconsistent practice, so they align contributors around shared knowledge goals—using story-driven coaching, hands-on examples, and custom-developed resources, to improve performance for their Article Quality Index. Hear what worked with examples grounded in real-world experience and paired with practical strategies for replication.

The days of SEO dominance are coming to an end. A new approach, AI visibility optimization (AIVO), is a strategic response to an AI-first world in which context relevance, data structure, and trust signals—rather than backlinks and keywords—determine visibility. As ChatGPT, Perplexity, and enterprise copilots become the primary interface for users searching for information, AIVO aims to make your content comprehensible, reliable, and retrievable by AI systems. The AI tools now serve as curators rather than merely conduits, in contrast to SEO, which focuses on search engines. Buyers are giving intelligent agents the task of discovery rather than merely searching. Similar to independent browsers, these AI "digital twins" can interpret needs, filter options, ask follow-up questions, and even draft requests for proposals. Depending on enterprise preferences, training sets, and context, what works for one assistant might not work for another. Conventional SEO strategies are insufficient; generic, cursory content will be disregarded. Only content that is authoritative, well-structured, and sensitive to context will win the hearts and confidence of agents and bots. Your search audience is no longer restricted to humans but to bots. Even more, it is AI-first. Fernandez redefines discoverability for the next era and discusses what AIVO is and how it differs from SEO, how AI agents and copilots are reshaping discovery, the key elements of content and data readiness for AI-driven retrieval, practical strategies to begin future-proofing content, and content creation for AI visibility.

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

The KM industry has a two-pronged identity problem, which, if left unresolved, will marginalize the excellent work being done. First, there is no operationally relevant definition of what knowledge is, and therefore the industry is quite confused. McComb reviews leading contenders for definitions of “knowledge management” and “knowledge” as well as the famous pyramid and explains why these definitions are selling the industry short and slowing down the important work. He provides a more actionable definition and fixes the pyramid. The other problem has to do with organizing and deploying knowledge. The current state of the art is to stick knowledge into documents. These documents can be read by humans, and now also by LLMs. This improves enterprise search somewhat but is far short of what is possible and needed in the enterprise. We now know that GraphRAG is the preferred solution to prevent GenAI hallucinations. In order to implement GraphRAG, you need a graph. McComb discusses what a knowledge graph is, and how knowledge can be integrated with data and information in a knowledge graph.

Product managers (PMs) are known for building great products—but the skills that make a strong PM are equally powerful when applied to internal initiatives and cultural change. Miller shares how core product management practices such as iterative development, user research, cross-functional alignment, and metrics-driven prioritization can be used beyond the road map to launch and scale impactful initiatives within and beyond large organizations. Drawing from her experience leading both product development and strategic initiatives at Reddit—such as improving the search experience at Reddit, bias mitigation in AI, company-wide accessibility improvements, and environmental, mentorship, and mental health programs—she walks attendees through practical frameworks for initiating and sustaining change. She explores how collaboration between teams across the company can be unlocked through clear ownership models, lightweight MVPs, and feedback loops that keep projects running. Get tactical strategies for linking passions with internal pain points, building alignment across functions, and creating change that lasts—whether you’re a PM, knowledge leader, or innovation strategist. This session is ideal for anyone looking to make changes in areas they are passionate about within their organization or beyond.

The intersection of AI and professional networking is reshaping the way industries connect, collaborate, and evolve. Kushner shares tips and techniques for how organizations can leverage AI-driven tools on LinkedIn and beyond to drive innovation, transform corporate cultures, and foster meaningful relationships. He highlights actionable strategies for integrating AI into professional networking to streamline talent acquisition, enhance team collaboration, and align organizational goals with cutting-edge digital solutions. Get insights into how experimental and risk-taking approaches within AI-powered platforms are generating measurable business outcomes, breaking organizational silos, and creating impactful partnerships across industries.

What happens when curious minds unite to exchange ideas, solve business problems and spark innovation? This session explores the value and effectiveness of communities of practice (CoPs): a place where we come together to learn, share, and grow, ignited by a common purpose. Our speakers discuss the transformative and lasting value of CoPs, illuminated by research, real-world case studies, and the innovative ways CoPs leverage technology. They share the latest insights, recent APQC research, how organizations are successfully implementing and sustaining CoP programs, and why they are vital to KM programs. Through captivating case studies, they reveal the secret ingredients that contribute to the longevity and success of mature community programs so we can learn from others’ successes. They also share their personal journeys with CoPs, offering valuable lessons and insights of real-world experiences. In addition, they discuss AI's role and how CoPs can benefit from their new teammate, AI, and what this means for the future. By embracing the tradition and power of CoPs, also considered the "heart of KM," organizations can enhance knowledge capture and transfer, reduce redundancies, inspire innovation, and boost collaboration. So, let’s harness the power of communities to build a brighter future for our organizations!

Brushammar, a seasoned librarian and KM expert, shares how library science principles are transforming the KM/AI landscape. Library science offers powerful tools for organizing, curating, and preserving knowledge. From constructing taxonomies to implementing metadata standards, librarians' expertise ensures information systems are both efficient and user-centric. These same principles are being applied to KM systems, enabling the integration of AI models that enhance data discovery, analysis, and utilization. Levitz shares how the rise of GenAI requires new skills for executives and government officials to harness the benefits, a new language and framework to provide context for future development, and how AI governance is built upon data governance, which arose to organize people to manage data records. She examines several classical approaches to organize and rationalize human thought, namely through catalogs, classification schemes, and taxonomies and highlights how librarians are stepping into pivotal roles within the AI-driven KM space—not just as knowledge managers but as ethical custodians. Their focus on transparency, inclusivity, and information integrity makes them indispensable partners in shaping responsible AI systems. With practical examples and forward-thinking insights, this talk explores the growing intersection of librarianship, KM, and AI. Librarianship is redefining its role in the digital age, seamlessly bridging the gap between traditional KM practices and cutting-edge AI applications.

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

Swamy sees a very good role for AI in optimization because there are so many tasks that humans cannot do as effectively. In tasks that are less about optimization and efficiency, Swamy is concerned about biases and transparency. AI is data and efficiency; humans are creative and innovative. Several research studies, including some by our speaker, have established that people respond to smart human–computer interfaces just as they would to another human being during an interpersonal interaction. AI agents should more easily pass the Turing test and be more vivid so human responses have greater valence, that is, their experiences will be significantly more positive or negative, depending on the context. The impact can be favorable or unfavorable from an experiential psychological perspective. Organizations need to ensure that the human experience with AI is favorable. Get insights and tips for ensuring this happens in your enterprise and with your clients. Understand the impact of AI on human experiences, especially as its implementation permeates all aspects of life, from retail shopping to psychotherapy. Swamy provides actionable insights to inform business and product strategy, drive innovation, and develop and implement data strategy, governance, and visualization, sharing real-world examples you can utilize in your organization.

Technology applications are developing at a rapid-fire pace in today’s accelerated world. As organizations look toward the future of work, AI has emerged as a powerful tool to make jobs easier and enable better data-driven decisions. For knowledge workers especially, the goal has always been to reduce time spent on the essential but unstimulating tasks that distract from using key skills to generate value. For these workers, the future of work is knowledge work automation, to enhance collaboration with colleagues and automate workflows. Grout discusses new innovations like knowledge work automation to build a resilient workforce capable of responding to the most daunting of industry challenges, some time savings tips that occur as a result of adopting AI-supported digital transformation efforts like reduced errors, faster inquiry response time, and increased knowledge work output.

In a world where speed is the key to great customer experience (CX), every interaction—whether human or automated—requires fast, flawless access to the right knowledge. As AI becomes prevalent across organizations, it is becoming critical to have the capability to deliver AI-driven knowledge across more solutions and their workflows to enable faster, more effective and efficient interactions. Our experienced and fun speaker looks at how AI can be deployed to push the boundaries of how and where knowledge can be surfaced and optimized for agents, copilots, and intelligent virtual assistants. Get a blueprint for deploying and harnessing the power of AI-driven KM to power measurable outcomes across a wide range of potential users, workflows, and scenarios.

As enterprises race to implement agentic AI, many are unsure where to start; others see value quickly, but realize the path from prototype to real-world value is anything but simple and struggle to expand to more complex (and higher-value) applications. Speakers explore a real-world deployment of intelligent AI agents, highlighting what it takes to go beyond chatbots and pilot projects to deliver real business outcomes. Hear how one global organization successfully deployed AI agents to accelerate R&D, streamline compliance, and improve outcomes throughout the organization—first, by grounding the agents on their internal knowledge (with robust enterprise search); second, by applying proper governance using an industrial-strength agentic AI platform. Get key lessons learned, including how to ground agents in trusted enterprise content, what it takes to ensure secure and accurate responses, and how to avoid common pitfalls like siloed content and hallucinations.

Service technicians don’t need another portal. They need answers. Fast. Speakers share how they turned an extensive, uncurated, difficult-to-access set of service manuals, schematics, and tribal knowledge into an AI-powered assistant that delivers trustworthy, real-time answers at the point of service, right when they need it. They show how knowledge architecture, smart enrichment, and a purpose-built RAG system helped W&B reclaim technician hours and improve uptime, knowledge access, and technician efficiency. Get a blueprint and the business case for fixing and enhancing knowledge access in the field or the office.

At NIH, effective KM is central to advancing biomedical research. Yet, in a large, complex organization, effective KM has historically been challenging, especially when legacy processes rely heavily on spreadsheets, manual coordination, and siloed workflows. In developing the Strategic Tracking and Reporting Tool (START), NIH has embraced enterprise-level application of novel technologies to build collaboration, streamline processes, reduce burden, and champion transparency in service of optimizing data management and sharing. START modernizes outdated business processes, streamlining data calls and improving intra-agency coordination. The platform translates institutional workflows and enhances or automates them, reducing administrative burden while preserving quality. It also supports responsible data stewardship by increasing transparency, linking data repositories, and improving the curation and accessibility of key information. Modern KM tools like START are critical for fiduciary stewardship and organizational growth. As technologies like AI continue to evolve, START positions NIH to augment human effort with intelligent systems that help staff work more efficiently and focus on higher-value activities. The ability to support KM at scale has never been greater, and START represents NIH’s commitment to building a smarter, more collaborative research environment.

Dau shares practical retrospective/lessons learned on a transfer project moving existing knowledge into a centralized knowledgebase, simultaneously optimizing for GenAI with robust change management tactics for improved content governance, client service, and internal relationships with business partners; faster time to validated answers; and optimized efficiencies. Our second talk looks at what to do if your legacy intranet is no longer meeting the evolving needs of users and instead includes issues like broken search functionality, outdated or irrelevant content, and difficulty navigating to key information. UWW launched a network-informed initiative to transform its KM practices. From direct discovery session feedback, UWW made significant improvements by establishing content governance frameworks, standardizing training for content creators, enhancing metadata and content classification practices, developing and implementing an enterprise-wide taxonomy, and expanding access to free learning resources. This cross-functional, user-centered approach has led to improvements in knowledge accessibility and content quality. Hear more about the strategies and lessons learned from the journey and get valuable insights for other nonprofit organizations looking to strengthen their KM systems.

AI accelerates research, triggers innovation, and improves productivity in many ways. Yet, with improper reliance on AI, we risk diluting our organization's competitive advantage, making incorrect decisions or isolating coworkers. Now is the time to lean into the practices which differentiate knowledge managers from other disciplines. Speakers share three case studies: For a large service firm, "collectivity" means networks of experts challenging the results and optimizing prompts, together. For a technical consultancy, "nostalgia" describes KMers’ redirect focus on human-curated historical examples to train AI, which, in turn, allow scalable grading of work in progress. For a larger insurer, "selectivity" prescribes using AI to pull back benchmark data from publicly available ESG/impact reports and thereby improves the firm’s ability to prioritize and standardize its own reporting. These three cases show how to improve relevance, efficiency, and competitiveness. However, what also emerged was that using these strategies increased the likelihood that employees surfaced elusive tacit knowledge, better curated training data, and produced repeatable human-AI, human-human collaborations.

What do you do if your legacy intranet is no longer meeting the evolving needs of users and instead includes issues like broken search functionality, outdated or irrelevant content, and difficulty navigating to key information. Our first speakers launched a network-informed initiative to transform their KM practices. Based on direct feedback from discovery sessions, they made significant improvements by establishing content governance frameworks, standardizing training for content creators, enhancing metadata and content classification practices, developing and implementing an enterprise-wide taxonomy, and expanding access to free learning resources. This cross-functional, user-centered approach has led to meaningful improvements in knowledge accessibility and content quality. Hear more about the strategies and lessons learned from their journey and get valuable insights for other nonprofit organizations looking to strengthen their KM systems. In an age of AI-powered productivity, hybrid work, and rapid disruption, Teague looks at how we ensure that the “intelligence” in enterprise intelligence stays grounded in people, not just platforms. She explores the intersection of ethical AI, empathetic change leadership, and responsible KM—three pillars that, when aligned, create resilient organizations rooted in trust and collaboration. But unlike tech-heavy sessions, this one centers the people behind the systems: their concerns, behaviors, values, and capacity to adapt. Get real-world examples of how human-centered practices—like inclusive AI design, change readiness listening sessions, and knowledge-sharing cultures—can be practical tools for reducing resistance, building transparency, and sustaining innovation over time. Get lots of tips and tools to help real people do meaningful work together.

AI continues to disrupt and transform the way we work in the modern enterprise. Owners and managers of digital content are no exception to this rule—we need to fundamentally rethink content operations in the age of AI. Intel’s Digital Resource Center is the home to knowledge and information which help digital strategists, publishers, and other marketing professionals perform their tasks according to organizational policy. Understanding content governance requirements and even accessing approved tools can be complex, and Intel wanted to use AI to more intuitively support task completion. Learn how our speakers partnered to leverage an AI proof of concept to prioritize and accelerate content remediation and improve content and search experiences on a flagship Intel KM platform.

Knowledge portals unify information from across an organization to deliver timely, relevant, and contextual content to users. When designed effectively, they break down silos and fulfill the core promise of KM: getting the right knowledge to the right people at the right time. Speakers share how Mubadala partnered with Enterprise Knowledge to build, refine, and scale a knowledge portal from concept to enterprise platform. They discuss the critical phases of development—from identifying business needs and designing core components (including taxonomies, knowledgebases, and semantic layers) to refining the user experience through iterative testing and stakeholder feedback. Get practical lessons learned around governance, user engagement, and sustaining momentum as well as highlights of how technical solutions must be paired with thoughtful change management and business alignment to succeed.

Multiple knowledge domains coexist within the enterprise, each with its own structure, sources, tools, and semantics. Get insights from our industry practitioners on their thoughts for the future workspaces and places and how knowledge sharing will evolve. Lacroix discusses how dedicated virtual workplaces—collaborative spaces where experts and seasoned users co-create and share experiential knowledge—are emerging and illustrates with client examples. He shares how agentic AI bridges this knowledge with other domains for automating customer support and field services processes. Greenhow draws from real-life industry examples to illustrate how AI can support the evolving needs of workspaces and why a strong knowledge foundation is key to unlocking future potential. He discusses practical strategies for structuring, accessing, and governing knowledge in ways that enable AI to truly enhance productivity, decision making, and collaboration, particularly in complex and regulated environments. Hear our speakers’ thoughts on how innovations are reshaping the way teams think about, collaborate on, and get actionable insights to help future-proof knowledge strategies and create work environments where AI adds real value.

This interactive session focuses on growing a KM program from the ground up—with real strategies to earn buy-in from senior leadership and drive adoption among individual contributors. It shares practical realities of building KM in complex environments, offering lessons learned directly from the trenches. You’ll hear real-world stories of how we navigated challenges, overcame resistance, and turned early struggles into lasting success. Through guided discussions and collaborative troubleshooting, attendees have the opportunity to reflect on their own KM engagement challenges and explore solutions with peers and presenters alike. Whether you’re just starting out or looking to reinvigorate your KM efforts, Starkey uses real-world examples to inspire, inform, and leave you better equipped to build a thriving knowledge culture at every level of your organization.

The IDB has implemented a strategic framework for planning knowledge agendas, prioritizing thematic areas, and aligning with key business objectives. This innovative process, recognized with the 2023 KM Reality Award, is crafted with refined methodologies and five core components and has empowered sectors, countries, and units within the IDB to bolster knowledge generation, dissemination, and use. Glean the five components of the knowledge agenda’s planning methodology and see how the framework strengthens a knowledge-based culture, positively influences public policy, leverages the effectiveness of operations, and, ultimately, enhances development impact. Harvest IDB’s best practices and insights to improve your own KM initiatives.

In today’s hyper-competitive business environment, success hinges not just on what you know, but on how fast and effectively you act. While most organizations are swimming in data and insights, turning that knowledge into timely, strategic action remains a major challenge. Seuss discusses how agentic AI represents the next evolution of AI. Unlike traditional AI models that passively wait for user prompts, Agentic AI acts with autonomy. It can proactively scan massive volumes of enterprise knowledge, detect emerging patterns, surface strategic opportunities, and even initiate next steps—all within the boundaries and priorities defined by your organization. With decades of experience and 11 patents in search technology and automated intelligence, Seuss shares practical, real-world use cases that show how agentic AI: moves teams from reactive analysis to proactive execution, streamlines competitive intelligence, market research, and decision workflows, delivers personalized, autonomous insights to the right people at the right time and builds lasting strategic momentum by connecting insights, teams, and goals. Our speaker from LexisNexis shares tips to shorten the path from insight to action, accelerate decision velocity, and drive strategic alignment across the enterprise.

In today’s fast-moving KM landscape, collaboration and clear communication aren’t just nice to have—they’re essential. O'Connell looks at the root causes of what affects organizational collaboration and shares practical strategies to create a culture of openness, trust, and clarity. Suson unravels the mysteries of misunderstandings and paves the way for stress-free relationships and reveals the blind spots that hinder effective communication and provides actionable strategies for clear messaging, active listening, and a powerful shift toward influential dialogue. Elevate your team's communication prowess, turning potential pitfalls into opportunities for success and harmonious collaboration. Get a deep understanding of the communication hurdles prevalent in today's work environment and the skills to communicate more effectively within your team and personal relationships, fostering understanding, collaboration, and stronger connections. Get lots of tips and techniques for more effective knowledge sharing, smarter use of AI technologies, and getting people re-engaged.

According to an IBM study of 1,500 CEOs, 60% said the most important leadership skill is creativity. For ages, creativity has been defined by musicians, artists, and designers, but as we look to the future, creativity will be an important skill, no matter the role. Creativity is not limited to the arts, but it can be applied to technical and left-brained fields. Creativity enables us to solve problems, move forward, and make a difference in our roles. Aguirre helps attendees uncover what has been blocking their creativity, find new ways to view creativity, and practice becoming more creative. Get a framework to apply creativity principles across both work and home to hone your creativity muscle.

In our rapidly evolving technological landscape, AI has become an indispensable tool in managing and processing vast amounts of information. However, as AI takes center stage, it is essential to remember the critical role humans play in creating and leveraging knowledge effectively. Enter Radical Knowledge Management (RKM), a groundbreaking approach that recognizes the symbiotic relationship between humans and AI, allowing us to harness the true power of both. In this interactive session, Barnes discusses the concept of RKM and how it can empower and give agency to individuals in an AI-dominated world. By emphasizing the importance of human involvement, RKM fosters innovation, creativity, and collaboration as well as sustainability and wellness, all things being challenged in our current work environments, and how to update your KM strategy for the future of work.

Markland discusses how AI systems can enhance team alignment, reduce execution bottlenecks, and help build a culture of accountability that scales with growth. Using real-world examples, he shares how business and tech leaders are using AI not just for automation, but for enabling smarter leadership and operational structure.

Choose one or both of these KM meetups!

Take a stroll through the iconic Washington, D.C., monuments with longtime hikers and KM gurus Dave Snowden and Stan Garfield. Share knowledge and experiences as you walk and end up at a community KM get together at the Hock ‘N’ Dove, a longtime D.C. meeting place. (Note: This is a cash bar event taking place the Hock 'N' Dove bar located at 329 Pennsylvania Ave SE, Washington, DC. Attendees should meet their guides in the lobby of the JW Marriott hotel by 5:15. The walk from the hotel to the bar is approximately 2 miles.)

Connect with peers over drinks and great conversation on KM, AI, search, data analytics, and taxonomies. Exchange insights and challenges in a relaxed atmosphere at the hotel bar. (Note: This is a cash bar event taking place at the 1331 Bar & Lounge located inside the JW Marriott Washington, DC.)

Innovation is the process of taking ideas from inception to impact. Organization leaders face continuous pressure to innovate, but no corporation, government agency, or non-profit has the resources, time or talent it needs to keep up with rapid advances in innovation, technology and global changes. Leaders know they need to look beyond their own enterprises to the external landscape and ecosystem to support internal innovation. Our speaker shares insights and practical examples from around the world as well as frameworks and models to work effectively in the innovation ecosystem. He provides tips on how to build structures and processes to support employee engagement as they learn and connect with other stakeholders.

Building a powerful knowledge graph is no longer a choice between slow manual effort and untrusted automation. Our speaker shares real-world examples of how organizations are using an AI Flywheel to build and enhance trusted AI solutions that deliver measurable business value.

Discover how Agentic AI is transforming enterprise search into a dynamic, autonomous knowledge ecosystem. This session explores how intelligent agents think, reason, and act to deliver real-time insights, streamline knowledge flow, and power smarter support experiences—redefining the role of search in today’s AI-driven, hyperconnected business landscape.

Enterprise Intelligence is the next evolution of knowledge management—designed to connect, optimize, and activate knowledge where it matters most. In this keynote, Bloomfire CEO Philip Brittan shares how forward-thinking organizations are transforming static information into a dynamic, intelligent asset that fuels strategic decision making.

Founders and longtime KM practitioners share the stage with newer KMers to discuss insights, lessons learned, and possible futures for sharing knowledge for enterprise innovation and success in the fast-changing and chaotic world we now live in. Get new perspectives on how to position KM as a strategic enabler in your organizations; real-world examples of how KM leaders have driven measurable business results through innovation, collaboration, and resilience; and actionable insights on navigating career transitions in KM and related fields. Whether you're early in your KM journey or a seasoned practitioner, this session offers inspiration and practical guidance to help you—and your organization—thrive through change and maximize value from KM. Join this interactive discussion for lots of insight and ideas.

Decision making for enterprise intelligence is critical, and our experienced and popular speaker has many tools, including a new hybrid approach to decision making, scenario planning, and strategy formation for organizations. It can, and does, utilize AI, while also respecting human engagement and reasoning. Reflecting the way a bee swarm optimizes search, it provides a new way to navigate uncertainty in near real-time. He also discusses group making that is outlined in Cynefin’s EU Field Guide—a complex ecosystem of possible approaches to use within your organization or community in times of crisis, represented in simple, tactile, interactive Hexi pieces. Along with the estuarine mapping process that has evolved as the strategic decision-making process from the initial publication, this session guides you to facilitate the estuarine mapping process for a group. Get lots of tips and techniques to practice in your organization.

This interactive discussion looks at trends in our organizations as well as new technologies and processes to enhance knowledge sharing, communication, collaboration, and innovation in the enterprises of the future.

As enterprise AI adoption surges, a startling paradox has emerged: While 70% of organizations are investing in AI and automation, only 18% say their KM strategy is ready to support it (Gartner 2024). An overreliance on technology without the processes or expertise to activate what enterprises already know is a challenge. Oza challenges the dominant "tool-first" narrative and reveals how forward-looking firms are building tailored, domain-driven KM ecosystems to fuel enterprise intelligence. Drawing on real-world transformations from top consulting and professional services firms, he shares how organizations are capturing what's in people’s heads before that information walks out the door, enabling decentralized, frontline decision making with embedded intelligence and scaling tacit knowledge into AI-ready assets through human-in-the-loop annotation and stewardship. Learn why LLMs and chatbots underperform without robust, contextual knowledge layers; how leading firms reduced content redundancy and enabled 20%–40% time savings across workflows; how annotation, sanitization, and human-in-the-loop curation drive model performance and user trust; discover strategies to capture primary knowledge in expert’s heads before it disappears and why internal influencers, not tech, make or break KM adoption and long-term ROI. See KM not as a backend content repository, but as the strategic core of how intelligence is produced, shared, and acted upon in modern enterprises.

KMWorld magazine is proud to sponsor the 2025 KMWorld awards, KM Promise & KM Reality, which are designed to celebrate the success stories of knowledge management. 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/2025/Awards.aspx.

At Amgen, a leading biotech, doctors, scientists, and technologists push the frontiers of medical therapies every day. Yet reaching their potential requires not just a group of intelligent people but an intelligent organization. Its Enterprise Web of Knowledge (EWOK) surfaces the “unknown knowns”—the insights individuals may not realize exist within the enterprise. If finding answers at your company feels impossible, you’ll appreciate how the EWOK turns chaos into clarity by uncovering hidden knowledge—transforming data into insight and insight into action. By connecting information trapped in siloed, functional systems to the objects at the core of our business—products, clinical trials, and people—they help teams see the bigger picture, identify key experts, and accelerate learning across the enterprise. The result of this strategy are two key digital products: POP (the Products One Pager), a lightweight interface built on the product knowledge graph that is the second most popular site at Amgen (right behind Pets of Amgen), and Catalyst Connect, an inferred experience finder that combines structured and unstructured insights and has evolved into a 360-degree view of drugs, clinical studies, and people—helping teams navigate expertise and context with ease. Through these examples, learn the EWOK blueprint to harness the power of the forest to allow knowledge sharing to win.

Lissack explores the paradigm shift from pursuing artificial general intelligence (AGI) to embracing augmented human intelligence (AHI)—focusing on what's achievable now rather than chasing distant promises. He discusses "exformative dialogue," the practice of using AI to surface hidden patterns in thinking that normally remain invisible, transforming tacit knowledge into actionable insights. Through compelling case studies—including the remarkable Lakajev experiment where intensive AI dialogue led to profound behavioral change—participants see concrete examples of breakthrough applications and how "distant writing" transcends human working memory limitations, enabling unprecedented intellectual achievements while preserving the authentic voice. This session addresses critical challenges honestly: managing the dependency paradox, protecting cognitive privacy, and preserving meaning in an era of AI-generated content. Get practical frameworks for building sustainable practices that evolve with both human growth and technological advancement and possible collaborative futures emerging as augmented minds connect across traditional boundaries, democratizing access to advanced cognitive capabilities. This isn't about AI replacing human thought—it's about thoughtful partnership that expands what's possible while preserving what's essentially human.

How do we turn raw data into valuable insights that drive action, innovation, and transformation? The untapped potential of data is costing businesses a staggering $5.2 million in revenue, this according to a recent study of over 500 IT decision makers in the U.S. and the U.K. But the value of data is not in the numbers alone; it's in the business decisions they inspire. Perez discusses the four life pillars of relevant data that give data meaning and impact; how blending left-brain logic with right-brain creativity unlocks powerful insights, drawing inspiration from a stunning example of data visualization ingenuity from the 1850s; and how to explore the questions you don't know, turning obstacles into opportunities, and bringing data to life in a way that transforms your business. Using real-world examples, he focuses on the four pillars of relevant data: Legacy: weaving a story through time by connecting data to historical trends, understanding context, and building a narrative that resonates across time; Integrity: building trust with transparency, ensuring data accuracy, avoiding bias, and establishing ethical practices to build trust and credibility; Fervency: igniting passion with insights by sparking curiosity, encouraging exploration, and injecting passion into data to drive engagement and action; and Efficiency: optimizing for impact by streamlining data collection and analysis, utilizing automation, and continuously refining processes to maximize efficiency and value.

Gudi discusses real-time drug delivery by automating prescription processing using OCR. He shares processes and strategies for providing real-time alerts that notify pharmacists and delivery agents about new orders, while tracking systems ensure timely and transparent medication delivery to patients. This approach not only streamlines pharmacy operations, it also improves patient outcomes through faster access to medications and reduced chances of transcription errors. Rodgers and Intranet and Digital Workplace Award Winners reveal remarkable solutions that deliver business value. 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.

As AI rapidly transforms how organizations manage, access, and share knowledge, a surprising truth remains: The biggest barriers—and breakthroughs—are still human. Customer experience and KM strategist Brown presents fresh, independent research exploring how organizations are preparing for AI in their KM programs and where human intelligence is proving to be the real competitive edge. Drawing on interviews, surveys, and case studies across a variety of industries, he shares where organizations stand on AI readiness for KM today—and what’s holding many of them back; the cultural and behavioral dynamics that drive or stall knowledge-sharing progress in hybrid and distributed workforces; which AI use cases—from intelligent search to contextual agent support—are delivering real value now; how to build leadership alignment and knowledge adoption momentum that transcends technology alone; and a practical blueprint for bridging the gap between vision and execution in modern KM strategies. Get a sharper understanding of how to evolve KM in your organization by combining the best of human intelligence, modern collaboration practices, and emerging technologies for building the next generation of agile, knowledge-powered organizations.

Our speakers explore how forward-thinking organizations are successfully implementing AI across their entire enterprises. They discuss insights from tech companies' bold AI transformation journeys and examines why many enterprises struggle to move beyond pilot AI programs to full implementation. They unpack the three pillars of successful AI strategies: cross-functional implementation that reaches every corner of organizations, positioning AI as a multiplier of human creativity rather than a replacement, and building trust through structured training and consistent leadership modeling. Discover why leadership inertia—not employee readiness—remains the primary barrier to AI adoption in most enterprises and how chief data officers are evolving from data custodians to strategic transformation leaders who connect technology to purpose, strategy, and culture. They share compelling case studies in decisive action versus cautious hesitation, demonstrating how organizations that build momentum now are creating competitive advantages that will be difficult for others to overcome. Whether you're a C-suite executive, a data leader, or a change agent within your organization, you'll leave with actionable frameworks for assessing your own AI readiness and identifying high-impact next steps that balance technological capability with human-centered implementation. In a business environment where "stagnation is slow-motion failure," this session provides the clarity and inspiration needed to move from AI experimentation.

Advances in AI present an excellent opportunity for KM professionals. Terminator-like future states notwithstanding, machines are not replacing humans. Rather, the two need to work together, creating a new AI—augmented intelligence. Success in this new world hinges on understanding and mastering a new skill set. Reskilling for this new era is not optional, it is mandatory. Interrogating data has always been a crucial part of KM. With the advent of LLMs, the ability to accurately sensemake has become even more critical. KM pros have always excelled at querying data, but now they need to excel at prompt engineering and design queries that produce specific, high-quality output. Speakers examine core competencies KM professionals must develop and possess. To effectively integrate and leverage agentic AI in KM environments, professionals need a hybrid set of technical, analytical, and strategic capabilities. These include the ability to assess KM workflows to determine what needs to be done by humans and what can be automated, build information architecture and interoperability (structure the knowledge via metadata and ontologies so it can be accessed, interpreted and used), and conduct task and process decomposition (to provide discrete tasks to the AI agents). Join this session to better understand how you (the KM leader) will continue to play a vital role in an augmented intelligence (humans + machines)-focused world, with the opportunity to balance the effects of technology with the human context your companies will always require.

In today's rapidly changing landscape, mere survival is obsolete, and continuous innovation is the lifeline for enduring success. Triumph delves into how adopting a mindset of perpetual innovation—intentional evolution—is crucial for individuals and organizations aiming to outpace disruption and spearhead industry leadership. Drawing upon a wealth of real-world examples and groundbreaking strategies, he navigates through the transformative journeys of icons like NASA and visionary companies like Pixar. Get a toolkit for fostering a culture of innovation that catalyzes significant, ongoing improvements in organizations and careers. Designed to invigorate and empower, this session promises to equip its audience with the mindset and methods necessary for transformative success in any industry.

In today’s rapidly evolving defense landscape, the ability to capture, share, and apply knowledge effectively is a strategic imperative. Patrick discusses the critical role of KM in enhancing operational agility, decision making, and mission readiness across the Department of Defense (DoD). Drawing on real-world examples and lessons learned, he looks at how KM frameworks can bridge organizational silos, preserve institutional memory, and empower warfighters with timely, actionable insights; highlights key enablers of successful KM in the DoD context—ranging from leadership engagement and cultural alignment to technology integration and governance—and shares practical strategies for implementing KM initiatives that align with mission objectives, foster collaboration, and support continuous learning in both peacetime and combat environments. Whether you're a practitioner, policymaker, or technologist, this session provides a road map for leveraging KM as a force multiplier in national defense.

With all of the valuable insights from the conference, it can be challenging to identify where to begin and how to focus resources and attention. How do you bring key messages back to colleagues, teams, and leadership? A longtime KMer, Earley highlights ways to process and apply what you have learned and identify the best way to bring concepts to reality. He considers all the conference themes—search, discovery, taxonomy, information architecture, knowledge sharing, text processing—and how AI cuts across each of these. Get a simple framework for building a road map by discovering user needs, connecting findings to overarching themes, and then identifying the needed capabilities to address user needs, regardless of the tools, technologies, or approaches.

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 2026.