Data is the lifeblood of every construction project – but chaos often reigns supreme. We outline the seven biggest data problems and possible solutions.
Digital transformation is more than technology: Why a holistic approach is essential for SMEs
Many SMEs associate digital transformation primarily with new technologies. Yet sustained success can only be achieved by also focusing on strategy, culture and the customer experience.
The most common stumbling blocks on the path towards digitalisation of SMEs – and how to avoid them
The reason why many SMEs fail with respect to digitalisation is not down to technology, but to strategy, culture and structure. This is how to avoid the most common pitfalls.
Connecting BIM, ERP and others: Why is data integration critical to the success of construction projects?
A hotchpotch of isolated systems is often a feature of everyday operation on the construction site. Lack of data integration between BIM, ERP and others leads to media discontinuity, delays and rising costs. This has to change.
The AI Act: Regulatory framework for artificial intelligence
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.
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”.
