MLOps - AI symphony outline
Dozens of AI models in production, efficiently and reliably, thanks to a unified technical infrastructure.
Sharing know-how and a collaborative approach, as the energy of joint development of the AI domain.
Freedom and space for the latest AI/ML innovations and trends in business practice.
3 key elements that, together with the MLOps approach, make up our AI symphony.
Step by step, Telekom is transforming its organization into an AI‑driven company. The key is not only the models, but above all the infrastructure that enables them to be developed, deployed, and scaled quickly and reliably. Modularity and standards connect teams, accelerate delivery, and bring sustainable innovation. In 2016, Telekom established a dedicated data science team and moved its AI/ML infrastructure to the open‑source ecosystem. The first production applications gradually emerged in the areas of customer retention, product mix, and effective marketing communication; later, customer experience and network quality were added. As Jakub Novotný emphasized, a lot is said about models, but without quality infrastructure they will not reliably deliver value in production. However, there is no single “right” infrastructure; each use case has its specifics and requires a different technological approach.From the first models to a robust infrastructure
