Real-time data streaming is crucial in driving business innovation and efficiency, as demonstrated by Cathay Pacific and Endowus during the Data in Motion Tour in Singapore. Cathay Pacific has leveraged Apache Kafka and Confluent's managed services to treat data as a product, improving data governance and enabling scalable, low-latency streaming solutions that enhance customer experiences and operational efficiency. Endowus, a financial consultancy, uses a microservices-based architecture supported by Confluent to manage its diverse investment services efficiently, reducing bottlenecks and enabling rapid innovation. The discussions highlighted the importance of high-quality real-time data for future generative AI efforts and the necessity of revisiting data architecture to capitalize on AI capabilities. Experts noted that while predictive AI has dominated enterprise spending, the integration of generative AI depends heavily on robust data streaming infrastructures.