Harnessing Technological Innovation & Accelerating Uptake
summary
Built a MetaQuest demo that links avatar agents to company knowledge bases using Llama, Gemini and GPT models, and a Cloudera Cloud AI Studio pipeline that runs private LLMs on Nvidia GPUs with RAG. Reports show 87% of enterprises plan agent deployment and half of AI budgets shift to agentic frameworks. Addresses data hygiene, governance, orchestration and the risk of third‑party model swaps; proposes a catalog and lifecycle control for an agent marketplace, a private AI stack, and an enterprise brain.
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chapters (15)
- 0:00Video game to financial AI agents
- 3:11Generative AI and agent evolution
- 4:13Defining true AI agents
- 6:19Agent roles in enterprises
- 7:23Enterprise AI adoption ROI
- 8:48Data governance criticality
- 10:16Data systems for agentic AI
- 12:01Private AI and model control
- 13:47Agents as digital colleagues
- 15:54Agent orchestration protocols
- 16:56Enterprise agent marketplace
- 17:59Secure AI application deployment
- 18:41Fine-tuning and lifecycle
- 19:26Future of AI agents
- 20:30Start agentic AI journey
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