Realistic training data for machine learning
Data are the foundation for training algorithms. The more realistic the data, the better the results. This is because artificial intelligence is based on precise and reliable information for training its algorithms. This is obvious but it is often overlooked. The training data are realistic when they reflect the data that the AI system gathers in real operation. Unrealistic data sets prevent machine learning and lead to expensive false interpretations.
Read moreAI solutions for eCommerce
Artificial intelligence in e-commerce is more than a hype. Developments that are still in their infancy at present will probably be the norm in a short space of time. The successes are measurable and speak for themselves. But how can one benefit from AI in e-commerce? Simply by being up to date and keeping pace with the trends in AI solutions.
Read moreTraining data for AI: There is more to it than quantity
Artificial intelligence is being used in an increasing number of areas of application. Machines require large amounts of data to perform similarly to human beings. Quantity is what counts. That makes sense, in particular when addressing challenging problems and complex issues. However, the quality of the data is also significant – especially for training data that is used in machine learning. With this information the algorithms can develop themselves and machines learn how to learn.
Read moreArtificial intelligence in the economy
We come into contact with artificial intelligence everywhere. In many cases we are not aware of the fact that certain services are products of self-learning software. Artificial intelligence (AI) is one of the most important driving forces for technical, scientific and economical development in the 21st century. The economy in particular is focusing on AI. How can companies utilize artificial intelligence today and in the future?
Read moreMore than just autonomous driving: AI in the automobile industry
The vehicle of the future as a fully autonomous “computer on wheels” with no pedals or steering wheel is still a long way off. Artificial intelligence plays a decisive role in autonomous driving. For the car industry, artificial intelligence already lends itself to many other areas – for instance in logistics and production, as well as customer loyalty.
Read more