Data

Process automation refers to the use of technology to automate and optimize complex business processes. It is a holistic approach that aims to minimize human intervention and automate repetitive tasks. Process automation not only eliminates bottlenecks but also reduces errors and data loss. At the same time, it improves transparency, interdepartmental communication and processing speed. […]

Predictive analytics uses historical data, statistical algorithms, and machine learning to predict future events. In finance, this means that financial institutions can predict the future performance of markets, investments and economic trends. This allows institutions to make informed decisions and minimize risks. Application areas of predictive analytics 1. Market analysis By analyzing historical market data,

Artificial intelligence (AI), also known as NKI (Neural Artificial Intelligence), refers to the ability of machines to perform tasks that normally require human intelligence. This includes learning from experience, recognizing patterns and making decisions. NKI has gained enormous importance in recent years as it has revolutionized numerous industries and changed the way we work and

The importance of ethics in artificial intelligence Transparency is a key aspect of ethical AI. It is important that the decision-making processes of AI systems are understandable. This is the only way users can develop trust in technology. Transparency means you can understand how and why a certain decision was made. This is particularly relevant