The Art of Engineering Data-Driven Insights: From AI & MLOps Infrastructure to Software Development

Data analytics is crucial for creating software that delivers exceptional user experiences and operates on high-performance IT infrastructure. Effective analytics solutions must process vast amounts of data from diverse sources efficiently, and deliver actionable insights to key stakeholders in software development, customer experience, architecture planning, and infrastructure management. Join Jannis, Joschua, Sebastian, Matthias & Danilo as they introduce the strategy and components of the analytics platform powering the daily banking experiences of 50 m. Sparkassen clients. They present their automation approach for building an AI and MLOps infrastructure within a secure, air-gapped enterprise environment. And hands-on use cases to demonstrate the use of different data analytics methods, such as process mining. They also share their future roadmap, addressing current challenges in data analytics: How can we scale and adapt our platform to be more flexible and AI-ready?