JC Bose, a world-renowned process mining researcher, joins Skan.AI

JC Bose, a process mining researcher, who obtained his doctorate under the tutelage of Professor Wil van der Aalst – who is considered the father of process mining – has joined Skan.ai, a process discovery platform.

Skan.ai is a process discovery platform that leverages computer vision and machine intelligence to help enterprises in business process discovery.  Skan’s innovative technology observes ad hoc work at scale and from the observed digital traces of human work synthesizes and creates a process metamodels, uncovering hidden process variants, and unveiling the invisible enterprise.

“I am excited to join Skan.ai and advance the cutting edge evidence-based approach to process discovery to the next level. It is a privilege to work alongside a high caliber team and serve global customers,” said Dr. Bose

Dr. Bose obtained his Ph.D. in process mining in 2012 from Eindhoven University of Technology and, after that, worked as a postdoctoral fellow focusing on evolving the field of process mining. His work encompassed trace clustering, concept drift, process map discovery, trace alignment, and signature discovery.  Dr. Bose’s Ph.D. thesis was considered one of the best across all disciplines at Eindhoven University of Technology and he also published in reputed journals and presented at prestigious conferences.

Dr. Bose is a thought leader in the process mining space and has over fifteen years of industrial research experience. In the past, he has worked at Philips Research, Philips Healthcare, Xerox Research, and Accenture Labs.

“We welcome Dr. Bose to our team,” said Avinash Misra, the CEO, and co-founder of Skan.ai. “We are excited that a person of Dr. Bose’s caliber chooses to join our team. It is a testament to the product vision, the sophistication of the platform, and the talented team we’ve assembled to help companies map, model, and manage business processes, particularly the hidden process variants.”

Dr. Bose will focus on the core platform and focus his research on enhancing the data science algorithms that power Skan’s process discovery engine.

In addition to Dr. Bose, Skan is adding several other talented technologists, data scientists, and AI experts to the team. 

About Skan.AI

Skan.AI is a cognitive process discovery engine that leverages computer vision and machine intelligence to help enterprises map, model, and manage business processes. Skan’s innovative technology observes ad hoc work at scale and from the observed digital traces of human work synthesizes and creates a process metamodels, uncovering hidden process variants, and unveiling the invisible enterprise.

The traditional methods of business process mapping involved business analysts conducting interviews and shadowing process participants and recording the actions into a few boxes and arrows.

The standard business process maps just scratch the surface, portraying a happy path alongside one or two exceptions paths. In reality, the enterprise operations are akin to a spider web with intricate patterns, hidden paths, and nuances – all of which are a part of the invisible enterprise.

Skan’s virtual process agents – a non-intrusive and lightweight probe on agent desktops or virtual machines – observes human work at scale capturing essential keystrokes and system interactions.

The observability of work at a vast scale and high precision is the hallmark of the Skan’s technology.