Transforming Tax: The path from data to AI

Data matters to any tax department. To transform your tax department, it is vital that you get the most out of your data and to do so, it is critical that you have a strategy in place. A good strategy defines your tax department data needs and priorities, articulates how you want to use data in your function, plans a course for reaching your goals, and for sets up future technology expansion. In this session about your tax data, you’ll learn how to craft a strategy, best management practices, data types, and how it can be stored and leveraged for analytic indirect tax purpose. In addition, this session will explore future AI technology opportunities with indirect tax use cases.


Tina Yoon Thomson Reuters
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Tina currently leads the integrations team within the Corporate Tax Solution Consulting team and has been with Thomson Reuters for over 15 years. In prior roles, she worked with customers around the world to introduce various ONESOURCE solutions around Data Management, Direct Tax, and Transfer Pricing. Tina was also part of the Professional Services team and successfully managed several data management, process improvement, systems integration and implementation projects involving various ONESOURCE solutions.

Sérgio Silveira Thomson Reuters
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Sérgio has over 20 years working on integrations with the major ERPs in the market. His current role within Thomson Reuters is focused on improving and expanding ERP/Partners plugins and integration methods for ONESOURCE products like Indirect Tax Determination and Global Trade. He has participated on the implementation of global trade and tax solutions integrated with customer ERPs in hundreds of multinational companies interacting with customer global ERP teams around the world. Sérgio received his Bachelor’s Degree in Computer Engineering from The Catholic University of Campinas, SP, Brazil with a minor in Accounting.