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”.
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.
Internet of Things: Recognising the opportunities of the IoT
The Internet of Things (IoT) is a prime example of an interdisciplinary domain, where the proper mix of experience, process and mindset is much more than a sum of individual parts.
The history of bbv
From small Luzerne-based software house with three employees to internationally operating company: bbv’s timeline shows the eventful history over 25 years of Making Visions Work in short anecdotes.
