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September 10-11, 2025
Dallas

Speaker

Michael Raj

Vice President of AI Led Networks and Analytics
Verizon

Michael Raj is the Vice President of AI Led Networks and Data Analytics at Verizon Communications. He has accumulated over 15 years of experience in various roles, including analytical modeling, business intelligence, financial modeling, product management, and software development.

Previously, Michael served as Executive Director of Artificial Intelligence & Data at Verizon. In this role, he led the Network Business Analytics team, focusing on Capital Optimization projects across VCG and VBG. His contributions were instrumental in shaping a ~$10B+ Network investment. Michael actively collaborates with Verizon's Network, Supply Chain, and Finance leaders, leveraging data-driven capabilities and advanced analytics to support their strategies. He also plays key roles in shaping Verizon's path for Network Digital Twins and developing a market intelligence platform, aiming to establish data as a competitive advantage for the company.

Prior to joining Verizon in 2012, Michael worked as a consultant at Deloitte Consulting. Earlier in his career, he gained experience as a Software Engineer for iGATE Global Solutions and Covansys, a global consulting and technology services company. Michael holds an MBA with a focus on strategy and analytics from William and Mary and a Bachelor of Science in Computer Science Engineering from India's Anna University.

Beyond his professional pursuits, Michael is passionate about mentoring and coaching students and employees to foster their development. On a personal note, he is an avid enthusiast of waterfalls.

Michael

Featured Sessions

2:40

September 24 2024

2:40 pm-3:20 pm

The AI Auditorium

circleThe AI Auditorium
traingleDesigning for AI
traingleAI (Artificial Intelligence)
traingleData management
Panel: Enhancing Data Excellence for GenAI: Strategies for Quantity, Quality, and Governance

Join us to discover effective techniques for enhancing data accessibility and quality, and learn how to develop data strategies that align with AI objectives.