Fraunhofer Institute for Industrial Mathematics ITWM

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Business and Finance Concept: Businessman Analyzing Investment Charts

Business Analytics and Anomaly Detection

Accounting Audit, Cost Forecast and Anomaly Detection

In the course of the digitalization of processes, new possibilities arise for efficiently checking billing transactions. In the past, we have already developed auditing methodology and software for several industries and are working closely with the automotive industry, health care industry and public administration on new algorithms in ongoing projects.

Example Projects

Fraud and Anomaly Detection

Mathematical-statistical procedures make an important contribution to uncovering fraudulent activities and to quantify corresponding risks from fraud.

Data Analytics and AI in Real Estate Financing

Practical example: Data Analytics an AI for risk control in construction financing.

Data-Science in the Automotiv Industry

Data science and machine learning are essential technologies for optimizing processes and financial products in the automotive industry of the future.

Billing Fraud in Health Care

Our goal is the evaluation of guaranteed damage in billing fraud in the health care sector.

Past Projects

Criminal Networks: Combating Billing Fraud

In the project we are researching the identification of anomalies in fraud networks using artificial intelligence (AI).

Pflegeforensik: With AI Against Billing Fraud

In the »PflegeForensik« project, we are developing AI software to combat billing fraud.

»KIDAGO« – Digital health data for sub-Saharan Africa

A hybrid system for digitizing handwritten medical documents using AI, image processing and OCR.

»EP-KI«

Under the title »Decision Support for Business Management Processes with the Help of New AI Methods« works a team at the interface of business administration and Artificial Intelligence (AI).

Generative Machine Learning Methods in Decision Support

Renate Ernst is researching.

Change Point Detection for Integer Time Series

Florian Schirra was researching.