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.
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.
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:
- 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
- PyTorch / TensorFlow / Keras
- scikit learn
- Jupyter Notebook
- Azure Synapse
- Azure Data Explorer
- Azure Data Lake
- Redis Cache
- SQL Server
- Many others
Hosting and Process
- Azure DevOps
- Azure Service Fabric
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.
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.
Optimized energy generation and management using WAGO Cloud
Electricity is an indispensable part of daily life; Reliably available at all times, so that daily life is as usual.
Agriculture: Targeted Rain from the Cloud
"Producing more with less", i.e. satisfying the rising demand for food while at the same time ensuring sustainability - this is the challenge agriculture has to face.
Industry 4.0: Artificial Intelligence
In the future, Artificial Intelligence will play an increasingly central role in all industries.
Remote Device Access
IoT devices usually connect to the Internet (the cloud) using special telemetry protocols - they are ideal for sending data.