Absolutely, the shift from traditional software development to AI and ML development represents a fundamental change in our approach to problem-solving. With data-driven AI and ML, we're essentially teaching systems to make sense of vast amounts of information and draw insights from it. It's like moving from writing a detailed set of rules (traditional software) to enabling a system to learn and adapt (AI/ML). This shift underscores the critical role of data in our modern tech landscape and highlights the need for robust data practices. It's not just about writing code anymore; it's about understanding and leveraging data effectively to create intelligent systems.