Graphwise

Building enterprise knowledge graphs is no easy task. Most projects don’t stall because of technology. They fail because of mismatched expectations, poor semantic foundations, or trying to do too much at once. In this exclusive webinar, Dr. Juan Sequeda (Principal Scientist at ServiceNow) and Gary Leicester (Solution Architect at Graphwise) share the hard-won "scar tissue" from two decades of real-world implementation. Key takeaways: 🔹 Why semantic projects fail and what successful teams do instead 🔹 Practices to abandon as AI agents enter everyday workflows 🔹 Ways to build semantic foundations that endure as AI models evolve Save years of pain and wasted budget. Register now to join the webinar on December 1st👇

With 20 years of experience taking semantic technology from research to enterprise scale, Dr. Juan Sequeda has accumulated plenty of real-world lessons. As AI agents become everyday tools, knowledge graphs and ontologies serve as essential foundations for reliable AI. The real challenge is building them to last. Join Graphwise and guest speaker Juan Sequeda (ServiceNow) for a practical, candid conversation covering: 🔹 Concepts the enterprise graph space needs to unlearn 🔹 The exact role of human expertise in automated AI workflows 🔹 Semantic architectures that will remain relevant in 2027 and beyond Bring your toughest questions for the live Q&A! Register now to join the session on December 1st 👇

Building enterprise knowledge graphs is no easy task. Most projects don’t stall because of technology. They fail because of mismatched expectations, poor semantic foundations, or trying to do too much at once. In this exclusive webinar, Dr. Juan Sequeda (Principal Scientist at ServiceNow) and Gary Leicester (Solution Architect at Graphwise) share the hard-won "scar tissue" from two decades of real-world implementation. Key takeaways: 🔹 Why semantic projects fail and what successful teams do instead 🔹 Practices to abandon as AI agents enter everyday workflows 🔹 Ways to build semantic foundations that endure as AI models evolve Save years of pain and wasted budget. Register now to join the webinar on December 1st👇

“Building a shiny agent usually takes one or two days. Fixing the enterprise ecosystem usually takes years. My recommendation is: start small, fix the ecosystem, and fewer pilots will fail to get into production.” Learn more about what Vassil Momtchev, SVP Product & Technology at Graphwise had to say in his session at the Graphwise AI Summit 2026! Register to watch the session replays for free!

Generic AI demos on clean benchmark datasets look impressive, yet they fail to show how a system handles your company's messy real-world data. Stop guessing whether GraphRAG will work for your stack. In a guided Graphwise demo, our team maps your actual business data to show you exactly how to eliminate hallucinations and control token costs. What you will experience in your custom guided tour: • Direct evaluation of your structured and unstructured data sources • A live look at how semantic grounding fixes your specific edge cases • Tailored architecture advice to turn your stalled pilots into production systems Test our deterministic reasoning and knowledge graph capabilities against your hardest data challenges. 👇 Book your custom demo to analyze your own data live with our experts

Messy enterprise data, ungrounded LLM hallucinations, and skyrocketing token fees kill AI projects right before production. Schedule a guided session where we apply the Graphwise platform directly to your data ecosystem. During your personalized 1-on-1 walkthrough, our technical team will: 1. Connect live to your sample data environments including SharePoint, AEM, or Snowflake. 2. Demonstrate how explicit graph workflows ground your AI models in exact business context. 3. Quantify the exact token and cost savings you achieve using targeted database retrieval. Walk away with a clear blueprint built around your unique corporate knowledge. 📅 Reserve your private, guided demo using your own data.