Enterprise Architecture 4 0 The AI Driven Future Preview
summary
Enterprise architecture shifts from static blueprints to deployable agent systems that turn RAG and grounding into operational services: examples include a resort booking agent that makes REST API calls, SDR and service agents that auto-generate leads, follow ups, and bookings, and a sales coach that role-plays from transcript + GPT-4. Claims: 2–4 weeks to production and the Salesforce example rising from 20% to 80% resolution in ~3–6 months. Core stack uses RAG with vector and graph DBs, AWS Bedrock, GPT/Gemini, Stability.ai and Nvidia, plus guardrails, data masking, zero retention and a human-in-the-loop “hat.”
AI-written summary · about
chapters (9)
- 0:00Introduction to AI-driven enterprise
- 3:36AI agents in business
- 10:03Innovation and collaboration
- 17:15Demo of AI agents
- 27:49AI strategies in enterprise
- 34:34Governance and trust in AI
- 47:17Agent architectures
- 57:10Types of AI agents
- 1:00:01Future of enterprise architecture
related talks
33mEnterprise Architecture Governance in the AI Era
50mAgile Intelligence: Co-Engineering the Future, Not Just Automating It
33mThe Autonomous Enterprise
28mAgentic Enterprise - What your CEO must know about AI
16mTransform customer experience with an array of AI agents
22mDiscover the Future of Salesforce Development
20mGenAI agents - Evolution of automation
45mFrom RAG to Enterprise AI Agents: Building Intelligent Java Apps