An executive briefing and VIP basketball at SAP Garden, Munich · Past event
An exclusive executive briefing on making your customer data AI-ready, with Zeotap, Fluree and House of MAAD, followed by VIP basketball at SAP Garden.
The era of the cookie is over. For twenty years, a cookie told you who was on your website. Today your visitor is increasingly an AI agent shopping on behalf of a human, and it arrives with complex questions: Who is this person? What do they already have? What are they entitled to? What are we allowed to say?
Brands that answer with real context get recommended. Brands that can’t get skipped, and they never even see it happen.
The AI copilot is switched on, but the data it relies on is empty or ambiguous. Gartner predicts that through 2026, organisations will abandon 60% of AI projects that lack AI-ready data. The model is not the problem. Meaning is.
Humans got away with undefined data for years. We knew what “active customer” meant in Finance and what it meant in Marketing, and we sorted it out in meetings. Agents do not go to meetings. They take whatever they find and act on it in real time, right in front of your customer. A one-click “generate description” button won’t save you: a description is just a sentence. A definition is a business decision.
The missing link: identity + meaning. If your team owns a definition (CRM, loyalty, e-commerce or architecture), you belong in this room. We start at 16:00 and follow one AI agent from the moment it lands on your website to the answer it walks away with. You will see how a modern CDP (Zeotap) and a knowledge graph (Fluree) work in unison to connect customer identity with irrefutable business context.
Fluree is the enterprise AI context layer, turning fragmented enterprise data into trusted, governed context for every AI agent and model. Rather than relying on raw relational tables or siloed files, Fluree connects data lakes, business apps and unstructured documents into one unified knowledge graph, so every AI agent shares the same business vocabulary and definitions. By enforcing data policies directly inside the query engine and providing deterministic provenance, or “receipts”, for every answer, Fluree lets enterprise AI deliver accurate, secure and verifiable decisions.
House of [MAAD] designs AI agent factory architecture for premium enterprise brands, helping organisations avoid the “agent sprawl” that comes from buying disconnected AI tools. The [MAAD] framework gives agents real authority to execute work safely, built on four core layers: Meaning (dynamic context mapping), Anchor (precision identity resolution), Agents (autonomous execution) and Decision (high-impact lifecycle personalisation). With one central architectural brain surrounded by system-wide guardrails, House of [MAAD] turns AI from rigid chat scripts into secure systems that make and execute measurable business decisions.