Part 6/13:

This video not only showcased the technological advancements but also reinforced the potential for AI Twins to transform leadership, customer engagement, and operational workflows.

Technical Underpinnings: Building the AI Twin

The development process involves complex workflow pipelines:

• The user interacts via voice and video through a camera microphone setup.

• The system extracts audio, converts it into text, and sends this data to large language models (LLMs), which process and generate appropriate responses.

• Simultaneously, a vector database (like Neo4j) stores information about the individual and relevant data, enabling the Twin to retrieve precise knowledge quickly.