Generative AI is a transformative technology with the potential to add $4.4 trillion to the global economy.

Enterprises face challenges in adopting generative AI and need to quickly embrace it before competitors gain an edge.

An "operating system" for generative AI is needed to coordinate the interactions between generative AI applications and other enterprise assets.

Building an operating system for generative AI involves four layers: data, development, runtime, and user experience.

Companies are leveraging foundational large language models (LLMs) and customizing them for specific needs and goals through techniques like fine-tuning and data augmentation.

Developers are using frameworks to enhance the intelligence and autonomy of LLMs by querying structured and unstructured data sources and using embeddings to process unstructured data efficiently.