Date & time
Thursday, May 23, 2024
1 p.m. – 6 p.m.
1 p.m. – 6 p.m.
Registration is closed
Workshops & seminars
Share this event:
Celonis' 2024 Process Mining Canadian Roadshow with Wil van der Aalst
Organized by Concordia University’s Digital Twins Hub
Speaker(s)
Wil van der Aalst, Sarah Polech, Claire Chen, Gregory Ning
Cost
This event is free
Contact
Where
Engineering, Computer Science and Visual Arts Integrated Complex
1515 St. Catherine W.
Room EV 2.260
Accessible location
Yes - See details
Celonis is hosting a three-day conference to develop process mining expertise across Toronto (May 21), Ottawa (May 22), and Montreal (May 23). Process mining can be implemented within academia, research, and industry.
What can you expect to learn from this roadshow?
- Researchers will learn the ways Artificial Intelligence (AI) is already overlapping with process mining, how to conduct process mining research, and how to partner directly with Celonis and other researchers
- Academics will learn how to implement process mining with the classroom, launch student process mining ventures, and align with industry members looking to hire talent
- Industry members will learn business use cases for process mining across varying industry verticals, current trends in process mining and AI, and how to implement process mining within their own business processes
Agenda
12:45 to 13:00 Greetings and Networking
13:00 to 13:15 Opening Session
Mourad Debbabi, Professor & Dean of the Gina Cody School of Engineering and Computer Science
13:15 to 14:15 Conducting Process Mining Research
Wil van der Aalst, Full Professor, RWTH Aachen University and Chief Scientist, Celonis
14:15 to 14:45 Student Projects: From Capstone to Entrepreneurship
Sarah Polech, Partner Manager, Academic Alliance, Celonis
14;45 to 15:00 Coffee Break
15:00 to 15:45 Implementing Process Mining Within the Classroom
Sarah Polech, Partner Manager, Academic Alliance, Celonis
15:45 to 16:45 Implementing Process Mining Within Your Business Simulation
Claire Chen, Senior Value Engineer, Celonis
Gregory Ning, Senior Manager | AI & Data, EY
16:45 to 17:15 Closing Panel
Wil van der Aalst, Sarah Polech, Gregory Ning, Mazdak Nik-Bakht (moderator)
17:15 to 18:30 Cocktails and Networking Event (EV 4.101)
Speakers
Wil van der Aalst, Full Professor, RWTH Aachen University and Chief Scientist, Celonis
Wil van der Aalst is an Alexander-von-Humboldt professor at RWTH Aachen University, leading the Process and Data Science (PADS) group and also the Chief Scientist at Celonis. He is better known as the "Godfather of Process Mining" and one of the most cited computer scientists in the world (top-10 worldwide, according to research.com). At Celonis, he helps to transfer state-of-the-art process-mining techniques into the product and disseminate process-mining knowledge.
Sarah Polech, Partner Manager, Academic Alliance, Celonis
Sarah Polech is a partner manager for Celonis' Academic Alliance. She is responsible for aligning students, professors, and researchers with process mining expertise and industry members.
Claire Chen, Senior Value Manager, Celonis
Claire Chen is a Senior Value Engineer with Celonis, the world leader in process mining and execution management. Claire is an expert in diagnosing inefficiencies and cost leakages in business, driving continuous value creation, and transforming organizations to lead in the digitization competition with emerging technologies like process mining, automation, and AI. At Celonis, Claire manages the entire customer lifecycle from sales to solution implementation to customer success.
Gregory Ning, Senior Manager | AI & Data, EY
Gregory Ning is a Senior Manager part of the AI & Data practice at EY Canada. He is a digital transformation strategist with a mission to help teams unlock the potential of the digital age by embracing emerging digital technologies such as Process Mining, AI / Generative AI in their organizations. With a strong foundation in strategy and digital transformation, Gregory works with people to integrate emerging technologies into their businesses.
