CDAO Financial Services 2026
Presentations
Day 1
For financial institutions, staying compliant isn't just about adhering to rules—it's about navigating with foresight and agility in the complex landscape of regulatory requirements. As technology evolves and new regulations emerge, institutions in Banking, Financial Services, and Insurance (BFSI) must adopt proactive strategies to not only meet current standards but also prepare for future challenges. This keynote will explore the intricate balance between securing data to comply with global regulations and deploying it flexibly to fuel digital advancements. We'll delve into effective data management practices that ensure data integrity and accessibility for crucial operations like auditing and reporting, while also enabling seamless data integration and real-time analytics for digital transformation initiatives. Join us to discover how your institution can enhance its compliance practices and position itself for success in the dynamic financial services landscape.
Emma Mcgrattan
Chief Technology Officer
ACTIAN
- Investing in AI talent, infrastructure, and capabilities, and developing strategies to leverage AI for competitive advantage and business growth
- Understanding the potential AI has to drive innovation, enhance efficiency, and unlock new opportunities for value creation in a rapidly evolving digital landscape
Tarun Sood
Chief Data Officer
AMERICAN CENTURY
Day 2
In today's fast-paced financial landscape, reliable data is the backbone of informed decision-making, and Artificial Intelligence (AI) is revolutionizing the way financial institutions approach risk management. As financial institutions navigate vast amounts of complex data, ensuring its accuracy and integrity is crucial for strategic initiatives, risk management, and regulatory compliance.
Join Curtis O'Dell, Global Business Director for Data Integrity, as he delves into the critical relationship between data integrity and the success of AI and ML initiatives in finance. This session will explore:
- The importance of data integrity in finance and its impact on AI/ML initiatives
- Building a resilient and trustworthy data testing system for AI success
- Real-world challenges and success stories from enterprises that have achieved AI-driven results with high-quality data
- Strategies for leading financial institutions to confidently leverage data-driven risk management for AI-powered fraud detection
- How maintaining data for the financial sector is crucial in providing an auditable, compliant, and rigorous approach to managing data, conversions, and mergers.
Curtis O’Dell
Global Business Manager
TRICENTIS
- Applied patterns using LLM to create personalized customer experience
- AI-driven chatbots and virtual assistants for improved customer service
Koosha Golmohammadi, PhD
Executive Director of Data Science
CHASE
- In the era of AI and ML models, importance of real-time data consumption & movement is evolving each minute- what strategies are CDOs adapting to keep up?
- Data strategies & governance for LLM safety and data sharing
- Data consumption , publishing on cloud and CDO strategies to take data engineering to the ‘next level’
Dimple Thakkar
Executive Director – Head of Data for Machine Learning Operations
J.P. MORGAN CHASE & CO
Insurance
- How insurers are leveraging AI to improve underwriting accuracy, efficiency, and speed.
- Case studies of AI implementation reducing costs and improving risk assessment.
Jason Wang
Chief Risk Officer & Vice President, Data Analytics
ALLSTATE INSURANCE COMPANY OF CANADA
- The transformative role of unstructured data and AI in driving innovation across the insurance industry
- How these advancements create new opportunities for competitive advantage and improved decision-making
Aishwarya Ashok
Senior Data Scientist
PURE INSURANCE