Like 00 likes Agentic AI in 5 minutes: key terms explained Anyone exploring Agentic AI will quickly encounter terms such as «reasoning», «human-in-the-loop» and «Model Context Protocol». This glossary explains the key concepts in just a…
Like 00 likes The productivity paradox: how companies can unlock the full potential of GenAI What if technology is not the biggest obstacle to using AI productively? Many Swiss companies already have powerful GenAI tools, yet the expected productivity gains…
Like 1One like Data for AI: why data quality is the key to success Data has always been critical to business, but artificial intelligence is turning data quality into a key success factor. Incomplete, outdated or contradictory information reduces…
Like 1One like AI-ready without a large-scale project? How companies can create the right data foundation AI makes data problems visible sooner and with greater consequences. But how can companies create a viable data foundation without neglecting day-to-day business or embarking…
Like 33 likes Business benefits of GenAI: 2026 is the year of AI assistants Although Swiss companies have been testing GenAI, major productivity gains have often failed to materialise. But now is the ideal time to introduce generative artificial…
Like 1111 likes How companies benefit from Microsoft 365 Copilot With Microsoft 365 Copilot, Microsoft integrates artificial intelligence directly into the Microsoft 365 environment. But what can Copilot do, and what do companies need to…
Like 88 likes Digital sovereignty instead of dependency: how the canton of Aargau is implementing the Swiss AI Platform AI use cases implemented in Switzerland: In the interview, Syrian Hadad and Lukas Hebeisen talk about data-based management, digital independence and the responsible use of…
Like 77 likes The journey to becoming an AI-driven organisation Artificial intelligence (AI), particularly GenAI, and data analysis are key drivers of digital transformation. Christof Zogg, Head of Business Transformation, and Anne-Sophie Morand, Data Governance…
Like 1212 likes ‘We use AI to screen 2.5 million documents per day for reputational risks for organisations’ Swiss company RepRisk uses a combination of artificial and human intelligence to assess ESG risks to businesses. CEO and co-founder Philipp Aeby explains in this…
Like 88 likes From data silos to networked collaboration: how industry can create competitive advantages The digital transformation of industry is not solely about technology. Collaboration and intelligent data use are also required. How can Swiss industrial companies overcome data…
Like 99 likes ‘Ultimately, people make a company what it is’ Change is a constant in today’s world – amidst all of the digital possibilities and increasing technical complexity, companies are steering their way through the…
Like 1111 likes Swisscom Digital Lab: secure AI for the future In the Digital Lab, Swisscom conducts research into artificial intelligence solutions that help improve its own processes while also benefiting customers. In the second part…
Like 88 likes Data governance – five key strategies for insurers In the insurance industry, data governance defines the framework conditions for dealing with large amounts of data. In addition to secure data handling and high…
Like 1212 likes Swisscom Digital Lab: the source of AI innovation In the Digital Lab, Swisscom conducts research into artificial intelligence solutions that will help improve its own processes while also benefiting customers. In the first…
Like 99 likes AI in public authorities and administrations: getting started Generative artificial intelligence is an ideal tool for public authorities and administrations given the large volume of documents they deal with. But the challenges are…
