[{"data":1,"prerenderedAt":87},["ShallowReactive",2],{"webinar-2026\u002Fturning-data-into-knowledge-with-flowfuse-ai-mcp\u002F":3},{"id":4,"title":5,"body":6,"date":60,"description":12,"duration":61,"extension":62,"hosts":63,"hubspot":65,"image":68,"meta":69,"metaTitle":76,"navigation":77,"path":78,"seo":79,"stem":80,"structuredData":81,"subtitle":83,"time":84,"video":85,"__hash__":86},"webinars\u002Fwebinars\u002F2026\u002Fturning-data-into-knowledge-with-flowfuse-ai-mcp.md","Turning Industrial Data into Knowledge with FlowFuse AI and MCP",{"type":7,"value":8,"toc":56},"minimark",[9,13,16,19,22,25,41,44,47],[10,11,12],"p",{},"Most AI pilots don’t stall because of modeling. They stall because production deployment is hard.",[10,14,15],{},"Turning industrial data into contextual knowledge requires more than dashboards and pipelines. It requires architecture designed for security, scalability, and long-term maintenance.",[10,17,18],{},"This webinar shows what that deployment actually looks like using MCP, Node-RED, and FlowFuse, including a live build connecting FlowFuse Expert to an MCP system in about an hour.",[10,20,21],{},"MCP (Model Context Protocol) offers a powerful way to deploy industrial applications that convert data into contextual knowledge. Leveraging it effectively requires the right platform, one that supports security, ease of use, and long-term maintainability.",[10,23,24],{},"In this session, we cover:",[26,27,28,32,35,38],"ul",{},[29,30,31],"li",{},"The core technology behind the MCP stack and how it is used to connect context to agentic deployments;",[29,33,34],{},"The difference between data and knowledge, and how they must be treated differently as first-class elements in your system;",[29,36,37],{},"How Node-RED and FlowFuse enable secure, scalable agentic deployments; and",[29,39,40],{},"A build process in FlowFuse to connect FlowFuse Expert to MCP systems in as little as an hour.",[10,42,43],{},"You get a clearer understanding of both the technology and the deployment patterns required to implement MCP-based systems in production.",[10,45,46],{},"If you're responsible for industrial data pipelines, AI initiatives, or enterprise Node-RED environments, this session is designed for you.",[10,48,49,50,55],{},"Want to apply this approach in your own environment? ",[51,52,54],"a",{"href":53},"\u002Fbook-demo\u002F","Book a demo"," or [try it for free]({% include \"sign-up-url.njk\" %}).",{"title":57,"searchDepth":58,"depth":58,"links":59},"",4,[],"2026-02-24",60,"md",[64],"kristopher-sandoval",{"formId":66,"downloadFormId":67},"b21f2b32-c47c-4099-91fc-9a90c6dcf612",null,"\u002Fimages\u002Fwebinars\u002Fturning-data-into-knowledge.jpg",{"excerpt":70},{"type":7,"value":71},[72,74],[10,73,12],{},[10,75,15],{},"Turning Industrial Data into Knowledge with AI",true,"\u002Fwebinars\u002F2026\u002Fturning-data-into-knowledge-with-flowfuse-ai-mcp",{"title":5,"description":12},"webinars\u002F2026\u002Fturning-data-into-knowledge-with-flowfuse-ai-mcp",{"description":82},"Learn how FlowFuse leverages AI and MCP to convert industrial data into knowledge in this exclusive webinar.","Building and Deploying MCP Applications with FlowFuse","17:00 CET (11:00am ET)","K5bybdNxBOU","Ylc25bK-4VDaeK83gfFJlN4TIrkEF6_OmCcY3tk9Onw",1789345259607]