Why combine Machine Learning with Process Mining?
What is Articificial Intelligence?
AI must be able to think for itself, that is the essence of these technologies. It must be able to learn and adapt thanks to a multitude of data to surpass human intelligence. AI as such is often still in the R&D phase and what we call AI can often be compared to machine learning.
What is Machine Learning?
Machine learning (ML) is a set of technologies and algorithms. ML needs history or precise data to act or react. To illustrate this, Alexa is a good example. Alexa contains a voice recognition technology that allows it, from sounds, to associate them with an action to take. “For example, Alexa will recognize different sounds and associate them with an answer thanks to algorithms. This seems intelligent but there is in fact little learning here of the technology.
Machine Learning & Process Mining combination
Machine Learning associated with Process Mining is a way to put intelligence in the reading, visualization and analysis of processes as they are operated in everyday life.
Intelligent Process Mining opportunities
There is a link between these two technologies: they need and feed on data to bring added value. This is why they give a new dimension to Process Mining which is called Intelligent Process Mining. It provides these opportunites:
The first step of process mining is to give visibility on how your business processes are operated in the field. By retrieving logs from your various information systems (ERP, CRM, etc.), process mining will reconstruct and time-stamp the flows and main stages of each unit in your processes (an order, a customer, an invoice, etc.). This first step, more commonly known as “process discovery”, is an essential first step to visualize your processes. Users can thus conduct the first level of analysis by going into the details of certain deviations or anomalies that they may observe in the representation of their processes. This analysis can be tedious and complex due to the volume of data and the complexity of certain processes.