process mining

Organization face a broad spectrum of challenges. A major challenge is the Great Resignation. In the UK for example 43% of office workers are considering resigning from their jobs within the next months. As a result others are having to take up multiple new tasks, resulting in feelings of exhaustion. This means automation is becoming a top priority for C-level executives. Rocking Robots sat down with Gavin Mee, MD of Northern Europe at UiPath, to discuss these trends.

The UK is one of the front runners in automation. A lot of companies have moved beyond just RPA, and added technology such as process mining and AI to their business. This change has implications for the involvement of the CFO in IT investments. “The C suite has to not only buy into it even but champion it more than anything else, because they’ve paid for costly mistakes in the past already.”

Christophe Bollard is a Global Business Services leader with extensive experience in organizational transformation, technology and the Future of Work. He has experienced automation both at the end user side and as a consultant. In this interview with Rocking Robots he shares some of his insights on successfully implementing automation.

Kryon, provider of robotic process automation (RPA) and process discovery, announced the launch of a free offering of its Kryon Process Discovery tool. This cloud-native Software-as-a-Service Process Discovery tool is developed to help business teams automatically uncover blind spots and reveal hidden productivity bottlenecks.

Use these practical lessons and take advantage of organizational best practices to transition from your current state to the next level and avoid potential mistakes during implementation of process mining within your company.

In this article I continue sharing learnings from process mining implementation. This is the second part of the series

As more and more organizations accelerate their digital transformation initiatives and adopt process mining to analyze and monitor their business processes, academic research has started to address the business application side of process mining as well.

UiPath announced their UiPath Platform 21.4 release, supporting among other things AI-powered automation discovery. The new Task Mining solution uses machine learning models to pinpoint the most frequent task patterns from data and identify repetitive activities that could be automated without interrupting employees’ work.

La promesse du process mining est de permettre l’utilisation de larges volumes de données pour analyser et optimiser les processus. Ces outils sont-ils une clé pour créer de la valeur ?

The promise of process mining is using large volumes of data to analyse and optimise processes. Are these tools a key to value creation?