More than AI: These are the key IT trends for 2024

Security, data strategies and artificial intelligence: These three topics rank highly on bbv’s Technica Radar for 2024. In this interview, Marco Ravicini and Patrick Labud from the CTO Board discuss “AI-as-a-colleague”, theft of customer data and the impact of the EU’s Cyber Resilience Act on Swiss SMEs.

“An AI agent has to undergo a probationary period”

AI agents carry out their tasks largely autonomously – risk or opportunity? Cedric Klinkert, AI engineer at bbv Software Services, explains how the decisions of AI agents can be understood thanks to an “inner monologue”.

Data, data, data! The secret to successful use of AI in your SME

The abilities of AI tools like ChatGPT or Dall-E never cease to amaze. But how can artificial intelligence be used profitably in your company? bbv expert Michael Maurer outlines the most important success factors – suitable data, a dash of courage and the willingness to experiment with creative ideas.

“The real AI hype is yet to come”

ChatGPT has turned our relationship with artificial intelligence (AI) upside down. AI, a saviour? Also, but not only, says bbv expert Michael Maurer. In this interview, he explains how SMEs can successfully implement AI projects and what AI means for software development.

Interview: Why the metaverse is (still) a distant prospect for Swiss SMEs

Patrick Labud and Marco Ravicini have seen many IT trends come and go over the course of their careers. In this interview, the co-authors of bbv’s Technica Radar tell us, among other things, why they favour ethical software development over the metaverse, where energy could be saved and which IT topic should take centre stage in every company.

How augmented reality improves the customer experience

Furnishing the apartment with new furniture, personalising the car or tracking machines and production processes live: A wide variety of customer processes can be digitalised and thus simplified with augmented reality (AR), thus creating a better user experience for the end customer and greater efficiency for providers.

AI in the industry: training models with small datasets

Common practices for training machine learning models are based on large datasets, but these are often not available in the manufacturing industry. Data-centric AI is a new approach that should also enable manufacturing companies to successfully use AI systems.

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