Data-driven business models are prevalent across industries. Data systems have evolved from relational databases via NoSQL and Big Data to near real-time data processing. Data streaming requires rethinking conventional paradigms. The rise of AI/ML adds complexity, requiring MLOps to bridge engineering and science. Building cost-effective, future-proof platforms involves technical and non-technical perspectives. This talk maps challenges in real-time data architecture and AI, offering insights…