Our Stories

Code meets AI // Generative AI has taken the software industry by storm. New models with record benchmarks appear every day, and promises of efficiency dominate the debate. While the technology is undoubtedly transformative, though, in the enterprise environment there is often a wide gap between expectations and reality. We take a critical look at three key misconceptions – and what companies really need to know.

AI made in Lucerne // While tech giants are pumping billions into AI infrastructure, the Applied AI Center of the Lucerne School of Computer Science and Information Technology at Lucerne University of Applied Sciences and Arts is taking a different approach: Donnacha Daly, one of the Center’s co-founders, explains why open source could save our digital independence and why, paradoxically, the future of AI lies in smaller models.

ti&m’s banking features // We are continuously developing our banking solutions to ensure our customers have access to the latest technology and to provide new features. With Data Fusion and the AI Banking Assistant, we are adding functions to our products that enable banks to make intelligent use of core banking data and deeply integrate AI into day-to-day banking.

Digitalization of social insurance // Applications and decisions should be submitted, processed and communicated more easily, more quickly and more securely – without concentrating power and data. This requires a federal implementation based on shared rules and open standards. Ultimately, this also serves a broader goal: to create a clear and understandable pension overview across all three pillars for all insured persons.

BI platform // With Open Datastack, SUISA/MINT has introduced a data platform that revolutionizes the handling of billions of streaming data points. Efficient, collaborative, and built entirely on open­source technologies, it provides business users with rapid analyses, secure workflows, and digital
sovereignty – directly from Switzerland.

European cloud sovereignty // The issue of digital sovereignty is becoming increasingly important in Europe, and not just when it comes to data protection. Incidents such as the AWS failure on October 20, 2025 show that reliance on a centralized infrastructure for critical workloads can mean longer outages. But it should be possible to operate our critical components from Europe, too, shouldn’t it?

AI governance // The Migros Group is fully committed to AI. In this interview, Group CISO Dr. Lukas Ruf explains how Migros combines AI governance, ethics, risk assessment, and human­in­the­loop to drive innovation responsibly.

Migrol App // Migrol AG, a subsidiary of the Migros Group and one of the bestknown brands in the Swiss energy and mobility market, has redefined its digital customer experience with the new Migrol app. The solution developed by ti&m combines all refueling, charging, heating, and savings services in one modern application that is intuitive, personalized, and seamlessly integrated. 

“Works on my Machine” is not an operating model – especially not for banks and insurance companies. While AI models are becoming ever more powerful, many organizations are failing due to fragile pipelines, manual processes, and a lack of governance. In this article, we show what an MLOps “Golden Path”, combining engineering, compliance, and developer experience, looks like – practical, auditable and production-ready.
 

Digital sovereignty // It is becoming increasingly vital that businesses, public administrations, and society view technological adaptations in the context of digital sovereignty. With the ti&m Open Source Stack, we are helping companies and institutions maintain sovereign control of their data, processes, and applications in the long term.

ti&m Open Source Stack // Today, anyone thinking about their digital future – whether they’re a bank, public authority, or energy supplier – is asking themselves one crucial question: How can we remain independent, secure, and capable of acting in a world that is both technologically fragmented and geopolitically networked?

Translating AI into intelligent and efficient solutions is not easy. It calls for forums where industry experts and IT specialists can collaborate and experiment freely. We showed how it works at a hackathon with Swiss Federal Railways (SBB): Over three “AI Nights,” we teamed up with employees from SBB’s Train Control Center. Together, we analyzed real challenges, developed ideas, and put AI prototypes into operation