Deadline Extended to Monday, May 18.
Every time we think innovations in search and discovery have slowed down, allowing us to catch our breath and incorporate new technology, expectations, and modernizations into our daily workflows, it changes. It’s a roller coaster of AI-driven, agentic discoveries, with the nagging feeling that there’s more to search than AI. We barely have time to think about the latest possibilities for reimagining search as the roller coaster completes its climb and plummets downward, combining exhilaration and fear for the riders. At the same time, the core value of search and knowledge discovery remains. It’s still about relevance, accuracy, and speed. Recall and precision have not disappeared. The people aspects of the search process still clamor for attention. At Enterprise Search & Discovery, we consider every aspect of reimaging search, from the tried and tested to the new and bleeding edge.
We’ve been here before, reimagining search as times and technologies change. Yet somehow this time it feels different. We’ve moved from lexical search to semantic search, from simple embeddings to complex reasoning agents, from search engineering to prompt engineering to context engineering, from search engines to insight engines to answer engines. We’ve implemented RAG to combat hallucinations, We’ve become familiar with knowledge graphs, personalization, generative answering, semantic layers, intelligent chatbots, NLP, machine learning, and multimodal LLMs. We’ve investigated best practices for training LLMs to deliver relevant and reliable search results. We’ve discarded results lists in favor of actual answers.
Enterprise search requires the judicious use of various technologies, not all of which are grounded in AI, but many are. Yes, AI now dominates enterprise search, but it hasn’t replaced the fundamentals. We need to channel the tantalizing potential of technology, that rush we feel from a roller coaster ride, with the pragmatic needs of employees and customers. Aligning technology with user needs and behaviors is an ongoing challenge. Designing enterprise search to accommodate multiple input and output formats is essential. Considerations around data governance, security concerns, connecting disparate data sources, and knowledge architecture aren’t necessarily solved with AI. It can help, but human intervention is usually required.
Here's an exciting opportunity: If you are involved in enterprise search and discovery, you can contribute to your colleagues’ knowledge and understanding of today’s search world by sharing your stories at Enterprise Search & Discovery 2026.
At the Enterprise Search & Discovery conference, we want to know how you're exploring the rapidly changing landscape of search and discovery. What have you done that worked, what changes have you made, what technologies have you adopted, what do you no longer do, what content has become intelligently searchable, what discoveries about justifying search have you made, and how have you adjusted to changing work environments? How is enterprise search in your organizations delivering actionable insights? How are you reimagining search? Are you still consulting search logs to improve performance or just asking an LLM? How’s your roller coaster ride going?
We seek dynamic speakers who can discuss the technical aspects of enterprise search and discovery as well as the business implications of successful deployments. We are also looking for speakers to present half-day workshops on topics related to enterprise search and discovery.
The audience at Enterprise Search & Discovery is well-informed and tech-savvy. We're looking for speakers who can “wow” this audience with their insights into designing enterprise search and discovery so that it empowers business operations, enhances user experience, and allows workplace innovation to occur. We would like a mix of formal presentations and interactive panel participation. Case studies of search (both internal and customer-facing), social networks, ecommerce, or any combination thereof are particularly welcome. Feel free to suggest something different from the normal conference presentation.
Possible topics (but don't let this limit your imagination!):
To participate in Enterprise Search & Discovery as a possible speaker, or to suggest a speaker, please post your submission no later than May 18, 2026.
Submissions must include a proposed title and description of the session, speakers’ and co-presenters’ names and full contact information, and a few sentences of biographical information that relates the speaker to the topic. All submissions will be reviewed and notification regarding acceptance will be made by July.
We will review submissions as they arrive, so don't delay in submitting your ideas! If you are a search/discovery vendor, please contact us about sponsor presentations and other sponsorship opportunities, or please pass this along to one of your customers to encourage them to present their case study using your products.
Submit your proposal to speak today!
Enterprise Search & Discovery is organized and produced by Information Today, Inc., a diversified digital media and print publisher and conference and events organizer and producer. Our mission is to deliver world-class content in a variety of formats and serve our audiences with the information they need to make informed and critical decisions for their organizations.
Marydee Ojala, Editor-in-Chief, KMWorld
marydee@xmission.com
Marydee Ojala is Editor-in-Chief of KMWorld. She also edits Online Searcher and the ILI365 eNews newsletter. A long-time observer of the information industry, she speaks frequently at national and international conferences. She plans conference programs for Searcher Academy, Enterprise Search & Discovery, Data Summit, AI & Machine Learning Summit, and Internet Librarian International. Her professional career began at BankAmerica Corporation, San Francisco, directing a worldwide program of research and information services. Her undergraduate degree is from Brown University and her MLS was earned at the University of Pittsburgh.