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.

Our approach to successful data analytics and AI projects

With Data Analytics and Artificial Intelligence, M&M Software complements the existing offerings in the Cloud and IoT areas. The subjects of Data Integration and Data Management have already been successfully addressed in the past within the framework of customer projects. For the development of AI projects, M&M relies on services from Microsoft as well as proven algorithms and frameworks from the Open Source environment.

Vorgehensweise zum Data Analytics und KI Projekt

The AI offer of M&M covers all phases in Data Analytics projects: From data collection and management, visual and explorative data analysis, the application of classical machine learning methods or new AI algorithms to the integration of data analytics in software products or the operation in the Cloud, on-premise or 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

Reporting

PowerBI

Frameworks

PyTorch / TensorFlow / Keras
scikit learn
ONNX
Python
Jupyter Notebook

Databases

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

Download

Here you can download our Data Driven Solutions flyer (German).

Consulting in Strategy, Requirements and Solution Concept

M&M's customers have access to our all of our many years of experience in the development of industrial software solutions.

Process Control System

A clear graphical representation of processes is of vital importance in the operation of modern ocean-going vessels.

Device Parameterization - ioddINTERPRETER

As a member of the IO-Link consortium, we developed the ioddINTERPRETER in order to make it possible to parameterize, configure and diagnose IO-Link devices.

Machine Data Collection

In both process and factory automation, the flow of data from the various areas of a plant constantly increases. This data needs to be stored and analyzed safely and quickly.

Product Selection & Sizing

Every measuring task, no matter how complex, needs the right measuring instrument - the right dimensioning plays an important role in precisely measuring levels, liquids, energy, etc.

Cloud-based power data analysis

If hackers or a technical power failure breaks a company's servers, outages can cause millions of dollars in losses.

The networked scale - Bizerba Condition Monitoring Platform

Machines and systems should work trouble-free. Only in this way can they work economically, profit-oriented and contribute to a smooth process. Failures are disruptive and expensive.

Visualization and analysis of energy data in the smart grid

The world of energy is changing: whether through photovoltaic systems on rooftops, solar parks or wind turbines. In the past, energy was mostly centralized, e.g.