Everyone knows the problem from their time at school: before final exams, the material must be looked at again. There was something in the books? What is important? And how does all that information stay in your head so you can reproduce it meaningfully?
Large amounts of data cause problems for us humans. Algorithms have no difficulty with this: they do not get tired and can thus capture, sort, and evaluate incredible amounts of data.
So why not use the possibilities of IT to improve data quality in your own company? With anomaly detection based on data mining, this is exactly what is possible.
The anomaly detection solutions we have developed search and weight data from various sources and flag unusual findings. This is how you tame even large amounts of data.
Regardless of the data source, it can be searched quickly and systematically using data mining.
The solutions we create detect deviations. This protects against serious errors by, for example, checking invoice amounts in the ERP and reporting unusual amounts. Our experts develop your anomaly detection solution according to your requirements – so that you know what’s going on in your company.
Whether CSV, SQL Server, ERP and CRM systems – all sources and data types can be used for anomaly detection via data mining.
Our anomaly detection solutions can also analyze the data for you in graphical and tabular form, so you can quickly see everything that matters.
We develop in line with your needs – for meaningful results and diverse application possibilities.
In IT, anomalies refer to statistical deviations within a data set. In anomaly (pattern) detection, data sources are therefore searched for anomalies. Combined with AI, recurring outliers, such as seasonally higher spending, can be distinguished from true variances. For example, anomaly detection can report when a site is consistently consuming very high levels of power. It takes into account existing data from other sites and any seasonal variations that may occur. The affected company can quickly find out whether there is a serious technical problem at the site or whether, for example, it would be better to replace old equipment with new, more energy-efficient equipment.
Anomaly detection plays an especially crucial role in cyber security. By evaluating usage behavior, hacking attempts can be detected and stopped. Finance and retail also make heavy use of anomaly detection. With the possibilities of image recognition in conjunction with AI, other fields of application have since developed. In agriculture and forestry, the detection of pest infestations, pockets of fire, and crop damage plays a major role. Here, on the one hand, very large areas have to be watched, and on the other hand, small details are often critical. In medicine, for example, anomaly detection is also used in combination with image processing to detect tumors.
Automatic anomaly detection distinguishes between three types of anomalies:
We don’t only develop individual anomaly detection solutions. With AI anomaly detection, we also have a Microsoft-certified market solution that meets the highest technology and security standards. It is also available directly in the Microsoft Azure Marketplace.
with our colleagues as well as with our business partners and customers. Thanks to our strong staff retention, we ensure that you benefit from long-term support from the same contact persons. This has a positive effect on the quality of our services and on our whole business relationship.
Our core is the development of artificial intelligence. To this end, our experts repeatedly collaborate with university researchers. The German Federal Ministry of Education and Research (BMBF) is funding two of our current research projects on improving work processes through AI.
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Awarded. If we do it, we do it right. There is a reason why we achieved Microsoft Gold and Solutions Partner satus, SAP Gold Partner status. And Creditreform has confirmed our excellent credit rating.
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