Aim, Learn, Solve!
Creating Value from Data
In our information society data is the most valuable asset. Often the data can be put to better use, but this requires specialized solutions. We provide these solutions and can increase the value in several ways.
Using Machine Learning
Standard tools give the same answers as your competition gets. Standard tools do not give the best results for your particular data query, but provide a standard solution that works reasonable well for many types of problems. Using state-of-the-art Artificial Intelligence and Machine Learning tools we provide you with a better analysis and better prediction to outcompete your competitiors. We use science to improve your business value.
Increase Business Value
Business is about being better than the competition. Increasing your business value is our aim. If you have question you want to ask your data, but don't know how to do this, then it is time to contact us.
Autonomous systems provide you the intelligence without the hassle. Our intelligent software reacts to specified events that make sense for your data set. Our software informs you when you need it about the new results.
- website optimization according to criteria such as amount of user clicks, time spend on a page, revenue.
- using weather data to predict the quality of wine half a year earlier than the wine producers knows the quality
- using client data to predict whether a new client is interested in you product, so to improve directed marketing
- improving the interpretation from sensor data to create more precision, for example to improve the quality detection of your products
- fully automated software to detect outliers in a sensor network
Better information than the competition
Business value is about having the best information. Many companies use statistics for data analysis. But how can you be certain that your statistics is providing the best results? Lately economic and econometric research have come to the conclusion that Machine Learning technology XYZ is better at finding statistical patterns than what is taught at the university. AIMLearn uses all Machine Learning and Artificial Intelligence technology suitable for the problem. AIMLearn uncovers patterns that others cannot see.
Better technology than the competition
Anywhere where you use a statistical methodology, Machine Learning can improve the outcome. Many places where hand made models are used, Artificial Intelligence can find improvements or a completely new model. The people involved in AIMLearn have been finding patterns in data and solving data problems for more than 20 years. Use our experience and our technology to improve your own results!top
Real World Data
We love data from the real world. It is ensures that our technology is ready for usage in the real world, and not only for small and artificial data sets. Our experience comes from performing machine learning on real world data. Data from cameras, microphones and wheel encoders give difficult problems, but we find solutions for the interpretation. Also we have been using interactive machine learning where people are training the machine to become more intelligent and more autonomous. If you have problems with the interpretation of sensor data, or any data set, no matter how large, we have the solutions.top
Autonomy means business value
Intelligent systems which optimize themselves require less, if any, human involvement. Our idea of business value is to create specialized systems for customers that just work. The technology from autonomous systems, such as internet agents and robotics helps us in the creation of intelligent automated procedures. Continuous learning is an important aspect of a truly intelligent system. Our philosophy is that humans train artificial systems, in order for the artificial intelligence to operate autonomous.top
Using science to increase business value
We are a group of scientists who realize that many companies could use machine learning technology to improve their business results. The group is lead by Tijn van der Zant, who uses his extensive network to find the best solutions to problems. He has a PhD. in Artificial Intelligence and is specialized in machine learning, robots and autonomous systems in general. He is the co-founder of the largest research effort on domestic service robots and human-machine interaction called RoboCup@Home. He has personal contacts with more than 60 research groups world-wide. Since the usage of machine learning in companies has just started, the most famous example being Google, we still have (part-time) jobs at a university.top