Ciaran Hale shares how Deputy moved from fragmented AI experiments to a centralised AI and data foundation on AWS. By standardising infrastructure, introducing governance guardrails, and building reusable components, Deputy enabled teams to scale AI with confidence. This shift also transformed internal adoptionembedding AI into everyday workflowsand unlocked new customer value through Deputy AI, delivering smarter automation and insights in-product. A practical blueprint for building an AI-native organisation.
What this session is about
Playbook
Editorial commentary · what to actually do about this on Monday
The concept
Going from "scattered AI experiments" to "AI-native operating model" requires a centralised platform team, not just decentralised exploration. Standards, governance guardrails, reusable components.
Why it matters
Without standards, every team builds its own broken stack. You end up with five vector DBs, three orchestration frameworks, and zero shared evals.
The hard parts
Platform teams without enforcement get ignored. Platform teams with enforcement become bottlenecks. Both fail.
Playbook moves
(1) Make the golden path so easy that paving your own is the harder option. Reusable components beat policy memos. (2) Embed platform engineers in product teams for the first quarter. (3) Measure platform adoption as the team's KPI.
The surprise
"AI-native" is mistakenly framed as a tech change. It's actually a *procurement* change. Your buying decisions need to weight "agent-friendly APIs" and "structured outputs" as first-class criteria. Half the AI roadblocks come from vendors whose APIs aren't built for this.
---
Independent editorial perspective — not an official AWS or speaker statement. Designed for executives evaluating what to brief their teams on next.
Live updates related to this session LIVE
Sourced via Parallel AI Monitor — continuous web watch on 21 topical streams. Updated .
- risingwave.com high confidence Agent-native data infrastructure
RisingWave | Streaming Infrastructure for Agentic AI
Databricks launched an 'agentic data and AI stack' featuring an 'agentic data foundation,' Unity AI Gateway for multi-AI governance, and Genie Ontology as a business context graph to support AI agents.
- pingcap.com high confidence Agent-native data infrastructure
The Database for AI Agents & Intelligent Apps
Databricks launched an 'agentic data and AI stack' featuring an 'agentic data foundation,' Unity AI Gateway for multi-AI governance, and Genie Ontology as a business context graph to support AI agents.
- pinecone.io high confidence Agent-native data infrastructure
Introducing Pinecone Nexus
Pinecone introduced Nexus Knowledge Engine, a data infrastructure layer designed for AI agents to manage knowledge and retrieval.
- investor.cisco.com high confidence Agent-native data infrastructure
Cisco Systems Inc. - Cisco Unveils Agentic Platform for ...
Cisco unveiled 'Cisco Cloud Control' at Cisco Live 2026. This unified platform is designed for both humans and AI agents to manage, monitor, and defend critical IT infrastructure, serving as the foundation for Cisco's new 'AgenticOps' operating model.
- investors.micron.com high confidence Agent memory & RAG architectures
Micron and Anthropic Announce Strategic Agreement to Scale ...
Micron and Anthropic announced a strategic agreement to scale next-generation AI infrastructure. The collaboration specifically spans memory and storage AI architecture design, supply agreements, and strategic investment to optimize the hardware layer for AI agents and large-scal
External links matched to this session via topic relevance. The KB does not endorse third-party content; verify before citing.