Generative AI (GenAI) is a transformative technology. It is being used for chatbots, coding, customer service and even R&D to generate new materials or product designs. IDC has identified hundreds of use cases for GenAI.
In the mere two years since GenAI went mainstream, hundreds of thousands of large language models (LLMs) have been developed by enterprises, hyperscalers, academia and the open source community. These LLMs can generate anything from art and marketing copy to programming code, molecular structures and chip designs.
This briefing will provide:
- Advice and background on how to execute AI proof of concepts (POCs)
- Analysis of whether to use agentic AI or retrieval-augmented generation (RAG) as part of a POC
- Guidance on key steps around data and use cases — and much more