Clayton Wagar

Clayton Wagar is the Principal Consulting Engineer for Cloud Strategy in Nokia’s IP Division. He leads activities in both network infrastructure for AI, as well as AI operations and network automation. His career has included a variety of roles in strategy, sales, architecture, and product management in a variety of fields including core networking, broadband, wireless, and streaming media. Currently a Nokia delegate to the Ultra Ethernet Consortium, Clayton has previously contributed to key industry standards activities and emerging technology groups.

Prashanth Chakravartula

Ahmed Menshawy

Ahmed Menshawy is the Vice President of AI Engineering at Mastercard. In this role, he leads the AI Engineering team, driving the development and commercialization of AI products that deliver business value across the organization. His work focuses on enabling Mastercard to harness the power of AI to solve complex problems, optimize operations, and enhance customer experiences. Ahmed collaborates with cross-functional teams to bring innovative AI solutions from concept to market, ensuring they align with Mastercard’s strategic objectives

An accomplished author and recognized contributor to the AI community, Ahmed has co-authored Deep Learning with TensorFlow and written Deep Learning by Example. His most recent book, Graph Learning for the Enterprise, published by O’Reilly, provides practical insights into efficiently training and deploying graph learning pipelines at scale