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As agentic AI reshapes business processes, the question is no longer whether to adopt it — but whether you control it. This webinar explores why choice of platform matters, why business-process-driven AI demands sovereign infrastructure, and how organisations can stay in command of their AI strategy.

Speaking:

Ping CorneliaPing Nathan

Webinar Details→

As agentic AI reshapes business processes, the question is no longer whether to adopt it — but whether you control it. This webinar explores why choice of platform matters, why business-process-driven AI demands sovereign infrastructure, and how organisations can stay in command of their AI strategy.

Speaking:

Ping Nathan

Webinar Details→

Part 1 of the Sovereign AI series (why → how → prove). This summer European public bodies started choosing: intelligence services moving to European platforms, a defence cloud that excludes vendor-operated systems, a Franco-German 'sovereign digital backbone'. In 45 minutes: what a Foundry-class platform actually is, the five sovereignty tests (jurisdiction, keys, operating staff, disconnected mode, exit) applied live to a real estate, the European field described fairly, where Scrydon fits and where it doesn't — and a procurement checklist to take away.

Speaking:

Ping NathanPing Xavier

Webinar Details→

Part 2 of the Sovereign AI series, for engineers and architects. No slides after minute five: an agent gets an identity and scoped permissions, calls tools over governed MCP, retrieves from the ontology rather than raw tables, runs inside the sandbox and is stopped when it steps outside policy, and everything lands in the audit trail — then the same stack brought up on a disconnected network. Properties and refusals, shown rather than claimed.

Speaking:

Ping Xavier

Webinar Details→

Part 3 of the Sovereign AI series, opening European Cybersecurity Month, for CISOs and security architects. NIS2 is being enforced, CRA reporting obligations apply from 11 September, and the AI Act's post-Omnibus timeline is set. What those regimes actually require of AI systems, the shadow-AI inventory, the controls a platform must supply versus what the entity owns, a live look at agent governance and the audit trail — and the decision table for when air-gapped is the answer.

Speaking:

Ping CorneliaPing Xavier

Webinar Details→

Part 4 of the Sovereign AI series, for CIOs, COOs and the people who own processes and AI Centres of Excellence — in any sector. Personal AI raises the productivity of a person; organisational AI changes the outcome of a process. The gap is not a better model but four missing things: shared context (an ontology, not each person's chat history), governed action (agents that act on systems under policy), identity and permissions that follow the work across teams, and evidence a board or regulator will accept. A live contrast between a personal assistant and the AI OS on the same question, then one end-to-end process run by agents with people in the loop.

Speaking:

Ping NathanPing Xavier

Webinar Details→

Part 5 of the Sovereign AI series, for CDOs, heads of data and analytics, and data architects — in any sector. The lakehouse gave you governed storage on open formats: table-shaped, read by analysts. Agents, and increasingly analysts, reason over meaning — entities, relationships, state and rules that people, applications and AI read from and write back to. That is an operational ontology, and it is not a semantic layer or a knowledge graph. Live: the same business question answered by vector RAG over documents and by ontology RAG over the model, side by side with provenance; then an agent writing back through the ontology to an operational system under policy. And the migration path from an existing lakehouse — what you keep, what you add, what you never move.

Speaking:

Ping XavierPing Nathan

Webinar Details→