Understanding where the process automation data comes from and how to consume and analyze it provides decision makers with the information needed to successfully run the business. System data. Data ...

Data pipelines (e.g. Apache Airflow, Spring Cloud Data Flow): These tools have a different focus and thus lack important features for the process automation use case, such as support for control ...

Business process automation is one of the key factors in ensuring the competitiveness of enterprises. Thanks to the ...

In 2018, Cognilytica released a report on the Intelligent Process Automation (IPA) market. (Disclosure: I’m a principal analyst with Cognilytica). This report discusses the evolution of business ...

This software offers a range of features, including process automation, data processing, and analytics. However, it may not be suitable for large enterprises with complex automation needs.

Process Automation; Summary. Fast Forward. ... By using available measurement data of process variables at the digester's blow line, such as H factor, total alkalinity, moisture, and residual ...

This is the unstructured or semi-structured big data that RPA is asked to interpret and to automate processing. Companies can’t just take RPA software off the shelf and make it work with ...

When RPA first met data science, this had industry-changing results. Rather than having humans look for new opportunities to improve automation, enterprises utilized “intelligent” process ...

In Rockwell Automation’s FactoryTalk View SE, with VBA code that periodically checks the PLC for new records, performs the SQL Database functions to process the data, and handshakes with the PLC. Via ...