Layer 3

Exploring Data in the Age of AI

AI's effectiveness hinges on the integrity of its answers, which depends on the data feeding the system. I have organized this into a three-layer model for achieving robust AI decisions:

Layer 1: foundational training data, which forms the core understanding
Layer 2: proprietary data, providing critical context and competitive insights
Layer 3: external data, ensuring relevance and adaptability/accuracy in a fast-changing world

By viewing AI data architecture through this layered approach, we can design AI systems that are not only highly accurate but also agile and trustworthy, with respect for IP holders in a thriving data-driven ecosystem.