Who Should Attend?
This event is open to everyone but has been mostly designed for professionals who lead, manage, and implement innovative data and knowledge strategies, including:
CDOs, CIO, CDAIO, and other business leaders;
Data leaders and practitioners seeking advanced frameworks and tools;
Knowledge and information management professionals driving organizational insights;
Experts in semantics, graph technologies, and related fields;
Researchers and students in information management, data, and knowledge domains.
Why Attend?
Participants will:
Network with a community of like-minded professionals, building connections that drive innovation and growth;
Gain strategic insights into achieving Knowledge Intelligence through Semantic Layers, as delivered by globally recognized experts and thought leaders;
Explore the latest trends and advances in data architecture and infrastructure to stay ahead of industry developments;
Learn to leverage a structured framework for organizing and interpreting data, supported by real-world case studies and actionable recommendations.
Highlights from SLS 2024
The 2024 edition was a highly successful gathering of professionals from across the globe that delivered invaluable insights and fostered engaging dialogues and discussions.
“This was [an] excellent event! The most “secret-coded” by the name, thoroughly interesting, with great audience and speakers, and top-notch organization & venue!”
Aleksejs Plotnikovs
Founder & CDAIO @ Chiefdata.ai ・ Ex-EMEA Lead, Data & AI Strategy @ Microsoft
“This was a fantastic event. I really enjoyed it, learned a lot, and met many nice and knowledgeable people. I look forward to the 2025 edition, wherever it will take place.”

Andreas Blumauer
SVP Growth & Marketing @ Graphwise ・ CEO & Founder & Semantic Web Company

More on the semantic Layer
Access a curated selection of articles, session recordings, and key takeaways from last year’s Semantic Layer Symposium!
EK Newsletter
Sign up for the latest thought leadership and expert insights.
LinkedIn
Enterprise Knowledge
Knowledge Cast