Zvi shows how process mining techniques can be leveraged to improve natural language interfaces by analyzing conversational data from chatbot interactions with customers.
Zvi Topol is a Data Scientist and CEO at MuyVentive, an advanced analytics R&D company focusing on AI/ML and Conversational Analytics work. He explored process mining for a completely new use case: The improvement of conversational interfaces.
Chatbots and voice interfaces such as Amazon Echo and Google Home are changing the way we interact with computers. Using natural language processing and machine learning, data scientists can detect the intents during the course of a conversation. Zvi added process mining on top of the detected intents to visualize the conversational flows. He showed how the discovery of conversational patterns can help to improve the customer experience of these conversational interfaces.
ASML is the leading developer of photolithography systems for the semiconductor industry. Freerk shows how he has used process mining to analyze and improve lithography system start and calibration sequences, resulting in higher system availability.
Jozef and Claus developed a standard approach for black-box process discoveries. Using process mining, they first explore and review the processes on their own and then dive deeper in the analysis with the subject matter experts.
Bas and Frank Nobel made an impact with process mining at the Dutch pension provider PGGM. The process lies at the heart of most of their improvement initiatives and they are always a multi-disciplinary effort.
Mark and Carmen applied process mining to understand how Philips' MRI machines are actually used by physicians in the field. The discovered usage patterns increase the test coverage based on real-life behavior for these machines.
Sudhendu developed a ‘Process Wind Tunnel’ framework by combining process mining and simulation. Based on real-world data, discrete-event simulation optimization is used for improving insurance business processes within AIG.
Boris applied process mining in the area of logistic process automation. He validated and optimized test scenarios during some of the most critical phases of a project — acceptance testing and operational trials.
Hadi brought his enthusiasm for football and his love for data together when he analyzed the 2018 World Cup data with process mining. He realized that the key to finding patterns is to make the right assumptions when preparing the data.
The final speaker at Process Mining Camp 2019 was Wil van der Aalst, the founding father of process mining. In his closing keynote, Wil talked about responsible data Science for process miners.
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