White paper
Zerynth Common Data Model: Zerynth’s model for industrial data management
Extracting and managing data from industrial machinery and making it accessible in a simple, immediate, and secure manner is one of the main challenges faced by manufacturing industries.
How can we ensure efficient integration and analysis of data from various sources? In this white paper, we describe the Zerynth structure: a Common Data Model characterised by an optimised approach that integrates Artificial Intelligence for industries and Machine Learning for Industrial Data Management that is accessible and immediate.
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Zerynth’s Common Data Model emerges as a strategic response to the challenges of industrial digitalization. This innovative model standardises and optimises industrial data management, offering a flexible and scalable solution.
Unlike traditional methods that prioritise massive data collection, Zerynth adopts a targeted methodology focusing on the most critical data for each company. This approach not only simplifies the implementation of solutions for machine monitoring and process control but also lays the foundation for the adoption of advanced technologies such as AI.
The impact on business competitiveness, innovation, and the ability to adapt to future technological evolutions is substantial, making the Zerynth Common Data Model a strategic choice for companies aspiring to excel in the global market.
Summary:
- The importance of a Common Data Model
- Zerynth Common Data Model
- Zerynth’s distinctive approach to business digitalization