AppZen uses cutting edge AI technologies to automatically audit financial data such as Expense Reports, Invoices and Contracts. Our platform is currently being used by over 1500 customers including Amazon and JP Morgan Chase. In this talk, we will talk about some of the use cases that we solve and also some key challenges that we face. A key ingredient in our approach is using a semantic layer that understands unstructured data and using this understanding to create features in machine/deep learning models. We will provide an overview of this unique approach. We will also discuss how we are creating a general AI platform that will help us solve current use cases and beyond.
Kunal co-founded AppZen and developed its core artificial intelligence technology. He is passionate about developing AI-based solutions to solve real-world business problems. He is responsible for AppZen’s product vision, and oversees the company’s R&D and data science teams. Previously, he led research teams at Accenture Technology Labs that were responsible for developing AI-based tools for Fortune 500 companies. He earned his Ph.D. in Computer Science from the University of Georgia with a focus on semantic technologies. He is a published author with over 50 refereed papers and holds several granted patents. Kunal is a keen golfer and an avid follower of the Georgia BullDawgs and the Golden State Warriors.
Location: CSE Seminar Room - Room 2277 in Innovation Building
Date: Thursday, November 7
Time: 1:00 pm