Experience the difference. Meet your peers, talk with analysts, build your network and turn insights into action.
Rahul Sinha
Senior Executive Vice President/ Head Data AI & Automation
AXA Global Business Services (AXA GBS)
Speaker Bio
Rahul Sinha is the Head of DAAS(Data, AI & Automation Services) at AXA GBS (Global Business Services) and a member of its Executive Committee. His team is helping drive the organization’s journey toward becoming an AI-native enterprise. With over 25 years of experience in technology and business transformation, Rahul has led teams across Data, AI, Analytics, Testing, ServiceNow, Blockchain in the past. He has built GenAI platform on SLMs, Open source big data platform and IoT platform in his previous organizations that brought non linear revenues. His work spans enterprise data platforms, Generative AI, Agentic AI, advanced analytics, automation, and AI governance across global operations. A recognized industry speaker and thought leader, Rahul is passionate about bridging the gap between strong data foundations and successful AI adoption. He frequently shares insights on enterprise AI strategy, responsible AI, GCC transformation, and the future of intelligent enterprises.
Show More
Show Less
Session
Monday, 21 September, 2026 12:45 PM - 01:15 PM IST
Executive Story: Scaling and Standardizing AI at AXA: Building a Robust AI & Data Foundation
Rahul Sinha,
Senior Executive Vice President/ Head Data AI & Automation, AXA Global Business Services (AXA GBS)
AXA is spearheading global AI leadership by leveraging its Secure AI Model Garden, “SecureGPT,” and fostering cross-entity collaboration to deliver scalable and reusable AI solutions.
However, as a federated organization—even with access to SecureGPT—AXA entities face the risk of fragmented development, leading to limited reusability, reduced scalability, and a proliferation of siloed AI solutions.
To address this, AXA has embarked on a two-fold journey:
1. Global AI Assets
Driving efficiency, standardization, and reduced implementation costs through shared, reusable AI capabilities.
2. Local AI & Data Foundations at Scale
Enabling each entity to build strong local foundations, creating a compounding effect of scalable AI adoption across diverse landscapes. ... Show More Show Less
However, as a federated organization—even with access to SecureGPT—AXA entities face the risk of fragmented development, leading to limited reusability, reduced scalability, and a proliferation of siloed AI solutions.
To address this, AXA has embarked on a two-fold journey:
1. Global AI Assets
Driving efficiency, standardization, and reduced implementation costs through shared, reusable AI capabilities.
2. Local AI & Data Foundations at Scale
Enabling each entity to build strong local foundations, creating a compounding effect of scalable AI adoption across diverse landscapes. ... Show More Show Less