Intercom, a company that provides customer support software, has developed a sustainable AI advantage by following three key principles. The first lesson is to evaluate AI models thoroughly before deployment, considering factors such as data quality and model interpretability. This approach helps ensure that AI systems are reliable and accurate. The second lesson is to design an architecture that can scale with growing demand, allowing the company to adapt quickly to changing customer needs. Finally, Intercom emphasizes the importance of continuous evaluation and improvement, regularly assessing the performance of its AI platform and making adjustments as needed. --- Why it matters: These lessons matter because they provide a framework for building robust and scalable AI systems that can handle complex tasks like customer support. By applying these principles, engineers and researchers in AI can develop more reliable and efficient AI platforms. Source: https://openai.com/index/intercom