Data Analytics and Artificial Intelligence (AI) play an increasingly essential role in the automation industry. Countless networked devices generate enormous data streams. Their evaluation leads to new business opportunities. For this, identifying the relevant data and being able to define the relationship between them is a prerequisite. This requires the human factor and in-depth knowledge of the functionality of technical systems.

Unsere Vorgehensweise zum erfolgreichen Data Analytics und KI-Projekt

Mit Data Analytics und Künstlicher Intelligenz ergänzt M&M Software die bestehenden Angebote der Cloud- und IoT-Bereiche. Bereits in der Vergangenheit wurden im Rahmen von Kundenprojekten die Themen Datenintegration/ und -management erfolgreich bearbeitet. Bei der Entwicklung von KI-Projekten setzt M&M auf Services von Microsoft und bewährte Algorithmen und Frameworks aus dem Open Source Umfeld.

Vorgehensweise zum Data Analytics und KI Projekt

Das KI-Angebot von M&M deckt alle Phasen in Data Analytics Projekten ab: Von der Datenerhebung und -verwaltung, der visuellen und explorativen Datenanalyse, der Anwendung von klassischen Maschine Learning Methoden oder neuer KI-Algorithmen bis hin zur Integration von Data Analytics in Softwareprodukte oder der Betrieb in der Cloud, On-Premise oder on Edge.

With the AI service offer from M&M, individual solutions are created in the following areas, and others:

Operation and Service Management

Increase asset efficiency and visibility with robust, meaningful management dashboards and reports that can be used as the backbone for future forecasting.

Chatbot and Voice Control

Smart add-ons for software solutions, such as machine/device visualizations, mobile or cloud apps ensure better usability and interaction possibilities for the user.

Component and Spare Part Recognition

Recognition processes based on deep learning or mobile recognition systems (cell phone app) ensure quick and correct selection of components and spare parts. This allows processes to run with more efficiency and to save time and money.

Quality Assurance by Optical Inspection

Edge solutions for the evaluation of on-site collected data enable high error detection rates through machine learning algorithms. Coupled detailed analyses and continuous learning of the stored algorithms lead to continuous process improvements.

Technical Facility Management

With the help of edge devices, data from video management and surveillance systems is pre-processed, analyzed in the Cloud and refined with self-learning algorithms. This offers not only the possibility to detect and predict future events, but also to counteract them by automatically initiating suitable complex processes.

Anomaly Detection

Based on deep process and data understanding, we implement data validation and outlier detection to identify data patterns.

Our AI and Data Analytics solutions are realized with the following technologies:

Microsoft Azure

  • Azure Machine Learning
  • Azure Cognitive Services
  • Custom Vision AI
  • Anomaly Detector
  • Text-to-speech / Speech-to-text
  • Microsoft Bot Framework
  • Azure TimeSeries Insights
  • Azure Stream Analytics
  • Azure IoT Edge AI


  • PowerBI


  • PyTorch / TensorFlow / Keras
  • scikit learn
  • ONNX
  • Python
  • Jupyter Notebook


  • Azure Synapse
  • Azure Data Explorer
  • Azure Data Lake
  • Redis Cache
  • SQL Server
  • CrateDB
  • CosmosDB
  • Many others

Hosting and Process

  • Kubernetes
  • Azure DevOps
  • Docker
  • Azure Service Fabric


Dirk Stadtherr - Sales Manager
Dirk Stadtherr

Dirk Stadtherr

Sales Manager

Location: St. Georgen
+49 7724 9415-2507

Jörg Olsen
Jörg Olsen

Jörg Olsen

Sales Manager

Location: Hanover
Tel.: +49 511 13220646

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