Chennai Mathematical Institute

Seminars




Data Science Seminar
Date: 28/10/2022 (Friday)
Time: 2 pm to 3 pm
Venue: NKN hall in hybrid mode.
Process Mining and AI for Business Process Improvement

Monika Gupta
Celonis, New Delhi.
28-10-22


Abstract

‘Processes are present everywhere’ A lot of data is generated during the business process execution which gets stored in information systems such as SAP, ERP, Github, Oracle, and ServiceNow. Most of the processes are sought with hidden inefficiencies such as bottlenecks, reworks, and deviations. There is a need to identify the inefficiencies thus improving the processes. This can be achieved with a combination of Process Mining and AI techniques. The findings from process mining have been shown to be highly useful for process assessment and to support process improvements. However, the actual mitigation of identified inefficiencies may require automation for efficient improvement. Therefore, integration of process mining techniques with AI techniques can provide a promising lens to analyse and improve software processes. The talk covers the basics of the technology and illustration with the real industry use cases. Post-covid there is a pressing market need for process optimisation to deal with inflation which further makes this technology very timely and relevant for wide career opportunities.

Bio: Dr. Monika Gupta is a Lead Technology Consultant at Celonis. Before joining Celonis, she was a Research Scientist in AI for Business Process Optimization team at IBM Research, India. She has also served as a guest faculty at IIT Jodhpur. She has done PhD at the intersection of Process Mining, AI and Software Engineering from IIIT Delhi, India. She has many US granted patents in her name and has published research papers at various top International conferences and journals. Also she was a recipient of the prestigious Prime Minister's Fellowship. In addition to being a Process Mining enthusiast, she loves to deliver technical talks, mentor students, and do art-craft work.