Building the Intelligent Enterprise: Ensuring Success with Data and GenAI
summary
Oracle demonstrates a working stack: OCI Generative AI agent hub to deploy multi-agent workflows, frontier models like Grok 4 and Gemini, and developer tooling with Oracle Code Assist. Concrete outcomes include a Choctaw language translation project, Rinnai reporting 30–35% efficiency gains, and Rappi building 10‑minute voice-ordering flows on OCI and xAI. Security features include MCP-based guardrails, encrypted data at rest/in transit, and audit/observability for agent actions.
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chapters (14)
- 0:00Oracle’s Vision: Data, AI, and Impact Across Industries
- 5:48Real-World AI Transformations: Stanford Medicine, Rinnai, SMEG
- 9:16Why Oracle: Enterprise Data, Applications & AI for Business
- 11:06The Three Fundamentals: Frontier Models, AI Agents, Governance
- 15:49Frontier Models Deep-Dive: Grok, Gemini, Llama, Choice & Control
- 19:28xAI & Grok: Reasoning, RL, Memory, and the Future of LLMs
- 27:40Customer Impact: Rappi Scales AI with OCI & xAI
- 33:35AI Agents & Agent Hub: From Table Stakes to Business Workflow Automation
- 38:04Multi-Agent Workflows, End-to-End Automation & Enterprise Integration
- 43:28Oracle Code Assist & Open Platform: Building for Developers and Custom AI
- 46:30Security, Guardrails & Governance for the Agentic Future
- 52:00Deloitte & Motorola: Agentic Solutions in Practice (OCI, Zora)
- 58:09From Innovation to Outcomes: What’s Next with Oracle AI & Agentic Platforms
- 59:39Closing: Oracle’s Commitment, AI Future & Hands-On Opportunities at AI World
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