Traditional AI systems often rely on years of big data, creating barriers to project initiation. At V2T, we adopt a more streamlined approach. We use 'just enough' historical data of 'good enough' quality, tailored for its specific purpose. This is combined with a select amount of near-real-time data to feed our AI digital twin simulator. This strategy ensures rapid development speed and maintains project viability, avoiding the common pitfalls of data overload in traditional AI projects.