Session Track: Data Intelligence
Session Time:
Session description
Tax and finance data often lives in silos—ERP systems, spreadsheets, compliance tools, and reporting engines. This session will explore how Neo4j transforms fragmented tax data into a connected knowledge graph, enabling better risk oversight, entity resolution, and audit trails. Attendees will learn how to model financial relationships, detect anomalies, and accelerate decision making using a graph-first approach.
FSO Tax Technology Transformation Leader, EY
Coskun Cavusoglu leads EY’s Financial Services Tax Technology and Transformation practice, driving digitalization, automation, and AI-powered tax solutions for financial institutions contributing to strategic advancements and innovation in tax technology. A recognized thought leader and a published author, Coskun frequently speaks at leading industry conferences, including Microsoft Ignite, SYNERGY, WSTA, TEI, SAP, ACT, and ITC, sharing insights on tax transformation and emerging technologies. With 25 years of experience, Coskun has been at the forefront of tax technology innovation, helping organizations harness the power of data and automation; and now, as the EY FS AI lead, he is working with clients to optimize tax operations, enhance compliance, and drive strategic transformation leveraging the latest advancements in technology.
FSO Tax Technology Strategist, EY
Michael Tran is a senior manager in the Tax Technology and Transformation practice at EY, bringing years of experience in designing and implementing cutting-edge technology solutions for tax functions. He specializes in harnessing AI and data to drive efficiency and unlock transformative capabilities for clients navigating complex tax landscapes. Michael oversees the development of end-to-end technology ecosystems for clients, managing both internal tax compliance tools and client-facing implementations. Currently, he is spearheading a high-impact project to reimagine tax processes through AI-driven transformation, leveraging advanced data platforms and graph technology to enable powerful analytics and new possibilities previously constrained by legacy systems.