Enterprise AI World is part of KMWorld 2025. Upgrade to a Platinum or Gold Pass for extended access to KMWorld 2025, Enterprise Search & Discovery, Text Analytics Forum, and Taxonomy Boot Camp, a series of co-located events happening alongside Enterprise AI World 2025. See the registration page for details.

Join us for the Enterprise Solutions Showcase Grand Opening reception. 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.

Enterprise AI World is part of KMWorld 2025. Upgrade to a Platinum or Gold Pass for extended access to KMWorld 2025, Enterprise Search & Discovery, Text Analytics Forum, and Taxonomy Boot Camp, a series of co-located events happening alongside Enterprise AI World 2025. See the registration page for details.

Stop by the Enterprise Solutions 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.

As agentic AI systems increasingly start to automate decision making and knowledge work, organizations must rethink KM to ensure accuracy, trust, and human relevance. Our experienced 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, and real-world examples of successful (and failed) AI-integrated KM. Get tips on how to develop adaptive, ethical KM systems that harness AI’s power without ceding control.

In the age of AI-driven transformation, human intelligence remains an organization’s most valuable asset. Smith explores practical strategies to unlock and amplify that intelligence—enhancing creativity, adaptability, and strategic insight amidst rapid technological change. He discusses how to foster a learning culture that thrives on curiosity, collaboration, and continuous improvement and shares tips for integrating AI in ways that empower people—not replace them—leveraging gamification, ethical design, and change management to boost engagement and performance. He examines the evolution of support roles and the emotional dynamics of AI adoption, from change fatigue to job displacement anxiety, offering tools to guide teams through these challenges with empathy and transparency. Most importantly, he highlights how visionary leadership can harness AI not just for automation, but as a catalyst to sharpen human decision making, personalize service, and cultivate future-ready teams. Join us to learn how to align your workforce’s potential with intelligent tools—maximizing human brilliance in the era of machine intelligence.

As organizations increasingly recognize the critical importance of preserving and leveraging institutional knowledge, the integration of AI and knowledge graphs has emerged as a powerful solution for KM. However, organizations face a crucial strategic decision: whether to build custom solutions in-house or implement existing third-party platforms. Our speakers examine the complex interplay of factors that influence this decision-making process, drawing from both theoretical frameworks and empirical evidence. They present a comprehensive analysis of the technical, organizational, and economic considerations that impact the build-versus-buy decision in AI-powered KM systems. Through a systematic evaluation of case studies across diverse sectors, they identify key determinants of success in both approaches, including scalability requirements, domain-specific needs, and resource constraints. They present a novel decision framework that incorporates multiple variables, including organizational size, knowledge complexity, industry-specific requirements, and integration needs, and also examine emerging trends in AI and knowledge graph technologies, such as advances in natural language processing, multimodal data integration, and federated learning, and their implications for future KM strategies. This research contributes to the growing body of literature on AI-enabled KM by providing actionable insights for organizations navigating the build-versus-buy decision. These insights have significant implications for both practitioners and researchers in the field of organizational KM.

AI is changing the game with its transformative impact on enterprises. Ward discusses why strategic planning is crucial for AI adoption, the key challenges facing organizations, the business areas that can benefit most from AI, building executive and stakeholder buy-in, developing a strategic AI adoption plan, setting clear business objectives for AI implementation, and creating phased integration road maps. He uses real-world examples to illustrate implementation best practices, choosing the right AI tools and platforms, finding key performance indicators for AI-driven initiatives, and measuring success. He touches on addressing ethical and compliance considerations, managing data governance and security, upskilling employees, and fostering AI literacy and more.

How are organizations leading AI transformation and how are employees reacting to new processes and AI capabilities? This panel shares what’s happening in their enterprises. Kanouse discusses what AWS is doing regarding strategic analysis, resource optimization, and technical decision making. He shares the real journey of leading internal AI initiatives at AWS, realizing it was building systems that could outperform their strategic planning capabilities and how that crisis became clarity about what remains irreducibly human in leadership. He also provides a diagnostic framework for identifying where AWS creates irreplaceable value in an AI-dominant environment, moving from functional performance to strategic navigation of constraints that have no predetermined solutions. Wolf, from Legion (formerly Yurts AI), shares how secure, agent-orchestration platforms for defense, government, and enterprise organizations are utilizing AI to empower teams to securely deploy, manage, and scale intelligent autonomous agents, enabling sophisticated, efficient coordination across sensitive operational environments. Madera discusses how manufacturing is undergoing a transformative shift, not by replacing human labor with machines, but by integrating AI to enhance human capabilities, revolutionizing traditional manufacturing processes by building collaboration between humans and machines. He uses real-world applications where AI augments decision making, improves operational efficiency, and addresses workforce challenges. Get insights from all our speakers for building resilient, scalable production systems that prioritize human expertise, ensuring competitiveness in the evolving industrial landscape.

Innovation is the process of taking ideas from inception to impact. And innovation, both internally to ensure knowledge sharing and learning as well as externally to keep customers happy and successful in their businesses, is important these days. Organization leaders face continuous pressure to innovate, but no corporation, government agency, or nonprofit has the resources, time, or talent needed 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 and external innovation. Get insights and practical examples from around the world as well as frameworks and models to work effectively in the innovation ecosystem.

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.

The Imagining the Digital Future Center at Elon University released a report in which hundreds of technology experts voice their worries about the future of being human in the AI Age. Many are concerned that our adoption of AI systems over the next decade will negatively alter our sense of purpose and affect how we think, feel, act, and relate to one another. At the same time, some hope for a positive influence on humans’ curiosity, decision making, and creativity. The focus of this expert canvasing is what will happen as humans and AI co-evolve by 2035, especially the impact on 12 essential human traits and capabilities. They predict that change brought about by the adoption of AI is likely to be mostly negative in the following areas: social and emotional intelligence, capacity and willingness to think deeply about complex concepts, trust in widely shared norms and values, confidence in their native abilities, empathy and application of moral judgment, mental well-being, sense of agency, sense of identity and purpose, and metacognition. They expect that change for humans by 2035 will be mostly positive in these areas: curiosity and capacity to learn, decision making and problem-solving, and innovative thinking and creativity. Overall, 61% expect the change related to the evolution of humans and AI systems will be either “deep and meaningful” or “fundamental and revolutionary.” Also hear about edgy predictions and compelling ideas about the world in 2035 and the possibilities for organizations and communities, including the rise of AI-aided revolutions, Vint Cerf's idea about establishing “proof of humanity” as we increasingly deal with bots (will we “outsource empathy” to bots?), a new bestselling book of 2035, entitled What Was Human, written by AI and purchased by AIs that would be acting on behalf of their human owners! Wow, do you think this will happen? Hear what our wonderful and knowledgeable speaker Rainie thinks!

Whether you're modernizing core platforms or launching new digital health initiatives, Jani provides frameworks and insights that can be applied at scale in the healthcare industry, which is under immense pressure to evolve—balancing regulatory compliance, interoperability mandates, and digital patient experience demands. A veteran IT program manager and healthcare SME with experience at Molina Healthcare, Florida Blue, and CareSource, he shares a practical road map for healthcare technology modernization. Drawing on real-world implementations of Medicaid platforms, pharmacy benefit management systems, care coordination portals, and HL7/FHIR-based integrations, he explores how to lead high-impact transformation using agile, data-centric, and user-first strategies. Sangaraju believes healthcare systems are only as strong as the technology behind them—and quality assurance is where that strength is tested. He shares his experience leading QA and performance testing for large-scale healthcare platforms and how his insights led to real-world AI solutions, including patented diagnostic tools for early cancer detection. He discusses how smart automation, data integrity, and security frameworks like zero trust can turn complex systems into patient-first innovations. Whether you’re in engineering, data science, or health tech strategy, this talk will offer practical takeaways on how to build better systems that serve people, not just processes.

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.

Talakola shares her journey of transforming traditional quality assurance approaches into intelligent, scalable automation frameworks at organizations like Walmart and Verizon. Drawing from real-world case studies, she discusses building hybrid automation frameworks using Selenium, Playwright, Cypress, and Power BI to not only test software efficiently but to provide continuous visibility into quality metrics. She delves into integrating QA pipelines into CI/CD environments using Jenkins, Azure SQL, and modern reporting dashboards—ensuring every deployment is backed by confidence and clarity. Veluru shares how Apple is integrating AI—specifically LLMs—into critical infrastructure to drastically reduce incidents, streamline engineering ops, and enable smarter systems. From building ingest pipelines with Kafka to automating workflows across Kubernetes and Slack, he breaks down real-world applications of AI beyond traditional data science use cases. Drawing from years of backend engineering across companies like Visa, Yatra, and Comviva, he explores how to architect distributed systems that don’t just scale—but adapt, learn, and self-heal. Get insights into building resilient infrastructure, creating developer tools powered by AI, and lessons on transitioning from traditional system design to modern AI-enhanced platforms. This session is for those who want more on how to bridge the gap between scalable code and smart infrastructure—or how to make your systems more proactive than reactive.

With agents, agentification, and the agentverse everywhere these days, just being able to say "agent" isn't as useful as it sounds. The agentverse is vast, complex, and constantly changing. Former Microsoft futurist Rasmus provides an agent primer with a classification system for agents; looks at the differences between types of agents, their functions, and technical parameters; and offers insight into agent frameworks that orchestrate agent behaviors.

While enterprises and solution vendors have made significant strides in managing digitized information and knowledge assets, critical information and insights remain locked in the heads of employees. Further, the experience and expertise of employees, crucial for effective application of information, are lost when relying solely on digital sources. Baltaxe discusses unique methods to tap “human databases,” made up of the collective intelligence, tacit knowledge, and expertise of teams, and illustrates how they can be applied to enable fast, effective, and accurate solutions to complex problems. He shares real-world examples of how large teams address problems collaboratively and productively and how they reap the benefits and capabilities of the combination of human teams and AI. Each case study highlights how a group of experts, employees, and consumers were brought together with AI and how the system captured their knowledge, sentiment, and conviction, enabling the groups to reach consensus or converge on solutions. Visual excerpts and data visualizations are included so the audience can see the real-time human-AI interactions.

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.