Artificial Intelligence in Industrial Automation

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Smart Automation: AI as a Key Factor in Industrial Innovation

In the rapidly evolving world of industrial automation, integrating Artificial Intelligence (AI) is a potential step toward optimizing production processes and gaining a competitive advantage. At Progmatic, we combine our expertise in Operational Technology (OT) with AI solutions, tailored specifically to the unique needs of your industrial environment.

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Our AI Services in Industrial Automation

Data Collection: We combine data from systems like PLCs and SCADA as the foundation for AI applications.
Applying AI Models: We implement AI solutions that integrate seamlessly with your existing technology stack.
Real-Time Dashboards: Intuitive dashboards provide up-to-date insights, allowing for proactive responses to deviations.
Predictive Maintenance: AI-based solutions predict equipment failures, minimizing downtime and optimizing asset performance.
Process Optimization: Through AI-driven analysis and recommendations, we help improve production efficiency.
Smart Energy Management: AI supports reducing energy consumption by identifying inefficiencies and optimizing usage.
Intelligent Process Control: Automatically adjust production parameters in real-time, based on data, for enhanced performance and output quality.

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Our Approach

At Progmatic, we apply the CRISP-DM methodology (Cross-Industry Standard Process for Data Mining) to seamlessly integrate AI solutions into your operational technology. This structured approach ensures consistency and quality at every stage of the process:

Crisp DM Cycle

Business Understanding : We start with a thorough analysis of your business objectives and challenges. Together, we define how AI can help address your problems and achieve your goals.
Data Understanding: Next, we examine your existing data, analyzing its quality, completeness, and relevance to establish a solid foundation for the next steps.
Data Preparation: In this phase, we prepare the data by cleaning, transforming, and structuring it to ensure it is optimally suited for AI models.
Modeling: We develop and test AI models tailored to your specific needs, ranging from predictive analytics to machine learning algorithms.
Evaluation: Each model is carefully evaluated to ensure it meets your business objectives and delivers the desired results.
Deployment: Finally, we implement the AI solution into your operational environment. We ensure smooth integration, provide team training, and offer continuous support to maximize value.

With this approach, we ensure that our AI solutions are not only technically robust but also tailored to meet the specific needs of your organization.

Frequently Asked Questions:

How is the security of my data ensured with AI integration?
We implement strict security protocols and follow best practices for data analysis and storage to protect your data.
Is my current industrial automation suitable for AI?
Most OT systems can be enhanced with an AI solution. Together, we will assess what is required for this.
How much data do I need to effectively implement AI?
The amount of data required depends on the application. For simple predictive models, often limited historical data is sufficient, while complex AI models require more data.
What if my data is incomplete, inconsistent or contains errors or duplicates?
Data preparation is a crucial step. We perform a thorough analysis to detect missing values and remove noise, ensuring that the AI models perform at their best.
How does AI differ from traditional automation?
AI learns and adapts based on data, while traditional automation follows fixed rules.
What is machine learning?
Machine learning (ML) is a form of artificial intelligence (AI) focused on developing systems that can learn from data or use data to improve their performance. Artificial intelligence is a broad term for systems or machines that mimic human intelligence.