How to successfully master the complexity of system integration
Against the backdrop of digital transformation, companies are challenged to integrate their system landscapes in order to ensure efficient, scalable and secure business processes. In this article, we will look at how you can successfully manage the complexity of system integration, guarantee data security and ensure compatibility between different systems.
The road to the future: AI in traffic management
Rapid urbanisation and increasing mobility needs mean that urban transport is at a turning point. The integration of AI into existing transport systems increases the efficiency and performance of these systems without having to replace them completely. This allows cities to stay at the cutting edge of technology while optimising existing infrastructures.
How far away is a future with AI-controlled trains really?
We are currently experiencing a decade in which technological advances are pushing the boundaries of what is possible ever further and ever faster. The FDP recently presented an ambitious and interesting topic: In the next 15 years, 20 percent of all Deutsche Bahn trains are to run without train drivers. This would be a step that has the potential to fundamentally change rail transport, increase efficiency and benefit the environment. But how realistic is this goal?
Big Data and Artificial Intelligence: A symbiosis with the future
In today's digital world, Big Data and Artificial Intelligence (AI) are two terms on everyone's lips. The question arises as to what these two phenomena have to do with each other and how they influence each other. In this blog post, we therefore want to explore the role of Big Data in training AI systems and find out how big data analysis can help improve AI systems.
ChatGPT: A revolution in speech processing
ChatGPT is a powerful tool in the world of Artificial Intelligence (AI). It is a model that has been trained to understand and generate human speech. As such, ChatGPT is an example of a major language model type used in NLP (Natural Language Processing) to understand, generate, and translate text. Due to its disruptive potential, the solution is currently the talk of the town. Reason enough for us to present ChatGPT with its advantages and limitations.
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