AI for Data and Validation

ETL with AI Support – A Smarter Path to Data

We already know what ETL is, but today’s digital era brings new ways of working with data. With the use of Artificial Intelligence (AI), ETL gains a whole new dimension: faster processing, automatic error detection, intelligent transformation, and predictive data logic. 

Why AI Makes Sense in ETL

In a modern world where organizations process growing volumes of data from diverse sources (sensors, systems, files, web services), automation and intelligence are key advantages. AI identifies patterns, suggests optimizations, and helps respond in real time to changes in data flows. 

 

"Your data is already speaking. Artificial Intelligence gives it a voice you can understand." 

 

Thanks to AI, traditional ETL processes evolve to a new level. AI enables: 

  • Recognizing patterns and adapting data automatically (e.g., naming columns, interpreting field meanings) 
  • Ensuring data consistency and correctness before storage 
  • Dynamically optimizing data pipelines based on volume and input type 
  • Smart mapping of data between sources 
  • Predictive validation and quality control 
  • Automated correction, completion, and transformation of data 
  • Adjusting ETL processes in real time when source data changes 
  • Detecting errors and anomalies automatically 
  • Intelligent transformation (e.g., assigning categories, filling missing values, translations) 
  • Faster adaptation to new data types without manual intervention 
  • Working with incomplete or inconsistent data 

 

"Combine the power of AI with your data workflows to get the most out of your data – without worrying about technical details." 

 

Ideal Use Cases for Smart ETL

Smart ETL is especially useful in environments with large, variable datasets – such as Asset Management, GIS, or BIM systems. 

How Your Projects Benefit

  • Increased efficiency in data workflows (e.g., within FME) 
  • Improved output data quality 
  • Easier scaling across projects and systems 
  • Faster deployment of data solutions to production 

 

ETL with AI has become a crucial link between data and operational systems. It enables seamless integration of: 

  • GIS → BIM (spatial data with 3D models) 
  • CAFM → ERP (technical and operational data into finance) 
  • IoT sensors → analytics tools (for predictive maintenance) 
  • FME → data warehouses & reporting 
  • Automated asset passporting from unstructured inputs (PDFs, drawings, photos) 

 

"AI helps you discover what was hidden in your data." 

Thanks to Artificial Intelligence, even complex data pipelines can be automated and optimized – without the need for manual intervention. 

What We Offer

  • Design and optimization of ETL processes tailored to your environment 
  • Integration with FME, AI frameworks, and database systems 
  • Automated data processing with AI support 
  • Scalable solutions for both small and large-scale data flows