The rapid development and spread of artificial intelligence (AI) not only offers immense opportunities, but also presents numerous challenges and risks that need to be overcome.
AI training with limited data: How you can optimise your AI models even with limited data
Training AI models often requires large amounts of data. Techniques such as transfer learning and data augmentation help to achieve good results even with limited data. In this article, we highlight proven strategies to help you effectively optimise your AI models.
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.
How AI agents are revolutionising our working world
AI agents communicate with and control apps, code or databases – partially or highly autonomously – and therefore make companies more efficient. However, a solid business case is needed.
“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”.
Technica Radar: These are the key IT trends for Swiss SMEs in 2023
Which IT technologies and trends should Swiss SMEs focus on? And which tools should be investigated? bbv’s Technica Radar provides the answer. It visualises the trends for IT decision-makers and software developers specifically for Switzerland.
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.
Software based on modular design
Low-code and no-code platforms allow even those not well versed in IT to develop productive business applications. Professional programmers should also make use of the relevant tools to complement rather than replace their work.
