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

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

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

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

In the rapidly evolving digital landscape, the integration of human intelligence with AI has become a crucial factor for success. Selz explores the transformative potential of GenAI in business decision making. He highlights the shift from traditional, chat-based interfaces to more autonomous, AI-driven systems, demonstrating how businesses can leverage this technology to enhance efficiency, accuracy, and strategic insight. Using real-world examples, he illustrates the power of GenAI in making business decisions. Our second speakers explore the concept of "human in the loop" and its significance in creating robust AI solutions. They discuss how incorporating human insights can drive more accurate, effective, and ethical AI applications; the benefits and challenges of human-AI collaboration, and the critical impact of tacit knowledge on decision making. Through interactive scenarios and real-world examples, they illustrate how behavioral aspects of knowledge sharing can support the design of effective processes and systems. Get actionable insights and inspiration to implement human-sustainability-focused metrics, leading to greater innovation and long-term success in the enterprise. 

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