CDAO Insurance schedule

• Leveraging AI to enhance underwriting accuracy and risk assessment
• Transforming customer experiences through hyper-personalized insurance services
• Harnessing real-time data for proactive risk prevention and mitigation
• Balancing innovation, privacy, and regulatory compliance in data-driven ecosystems
• Predicting emerging risks with advanced analytics and machine learning models

Panelists:

Jerry Xu PhD, FRM, Investment VP, PRUDENTIAL FINANCIAL

• What governance frameworks are most effective for managing AI risk across the insurance value chain?
• How can organizations balance innovation and speed-to-market with responsible AI practices?
• What role do data quality, diversity, and governance play in building trustworthy AI systems?
• How can insurers maintain customer trust while increasing the use of AI and automation?
• What regulatory and compliance challenges should organizations anticipate as AI adoption grows? 

• Leveraging advanced analytics to improve underwriting precision, resulting in faster and more accurate decisions
• Enhancing risk intelligence through predictive analytics, reducing losses and improving portfolio performance
• Optimizing underwriting outcomes with data-driven insights, increasing profitability and operational efficiency
• Identifying key risk drivers with greater precision, enabling better risk selection and management
• Redefining underwriting excellence through precision risk assessment, driving measurable business impact

As insurers face new risk patterns, rising customer expectations, and growing regulatory scrutiny, data and technology are becoming essential drivers of business value. This panel will explore how insurers are using AI and advanced analytics to improve underwriting decisions, streamline claims processing, and create more personalized customer experiences. Speakers will share practical examples of how technologies such as generative AI, automation, IoT, and predictive modeling are delivering measurable outcomes while helping organizations navigate implementation challenges and regulatory considerations.

Panelists:

Kamal Distell, VP Enterprise Data, TRAVELERS

• Transforming business processes with scalable AI and analytics capabilities
• Driving sustainable competitive advantage through continuous innovation and intelligence-led operations
• Measuring business impact with actionable KPIs and performance analytics
• Aligning operational strategies with evolving customer and market demands

Panelists:

Bill Carey, Managing Director, Client Analytics, Commercial Insurance Risk Control Services, LIBERTY MUTUAL INSURANCE

Anuj Gupta, VP - Group Enterprise Data, ARGO GROUP

Beyond compliance, insurers need data they can trust. This presentation will discuss the foundations required to achieve that goal, from understanding where data comes from and how it is used, to improving quality, ownership, and oversight across the enterprise. Real-world examples will illustrate how organizations are overcoming legacy systems and data silos to create a more reliable and scalable data environment.

• How can AI-powered automation improve policy servicing, claims management, and customer communications?
• What emerging technologies are most likely to redefine the insurance customer journey over the next five years?
• How can insurers use predictive analytics to reduce churn and strengthen long-term customer relationships?
• What metrics should organizations track to measure the success of customer-centric AI initiatives?

• Automating underwriting processes, reducing turnaround times and operating costs
• Enhancing decision-making with predictive insights, improving portfolio performance
• Empowering underwriters with intelligent recommendations, increasing productivity and consistency
• Transforming risk assessment through AI innovation, achieving greater accuracy, efficiency, and speed

• Navigating the intersection of AI, cybersecurity, and regulation, enabling innovation without compromising trust
• Strengthening cyber resilience, protecting critical assets and customer data
• Building responsible AI governance frameworks, ensuring transparency and compliance
• Preparing for emerging regulatory requirements, increasing organizational agility and readiness
• Aligning risk, compliance, and technology strategies, creating a competitive advantage in a rapidly evolving landscape

Panelists:

David T. Vanalek, Esq., SVP, Chief Legal and Compliance Officer, RICHMOND NATIONAL INSURANCE

• Building AI-ready data foundations, unlocking more accurate and reliable insights
• Strengthening data quality across the enterprise, improving business performance and risk management
• Establishing governance frameworks for trusted AI, ensuring transparency and compliance
• Eliminating data silos and inconsistencies, enabling enterprise-wide intelligence
• Unlocking the full potential of AI through trusted data, accelerating innovation and competitive advantage 

• How to create a shared vision for data as a strategic business asset?
• How to establish shared accountability for data across the enterprise?
• How to build trust in data to support AI adoption?
• How to break down organizational silos that limit data value?
• How to embed data stewardship into everyday decision-making?
• How to balance governance with innovation?

This interactive workshop explores how insurers can leverage data and analytics to gain a deeper, more holistic view of customer risk. Participants will examine how internal data, third-party sources, behavioral signals, and advanced analytics can be combined to uncover hidden risk patterns, enhance segmentation, and support more informed decision-making across the insurance value chain.

• Making faster decisions with greater confidence, improving responsiveness across the organization
• Gaining a clearer view of risk and opportunity, supporting more informed strategic choices
• Turning data into a competitive advantage, driving growth, efficiency, and customer value
• Aligning people, processes, and insights, creating more consistent business outcomes
• Using data as a strategic asset, enabling precision, agility, and long-term success in a changing insurance landscape

The conversation around AI has shifted from "What is possible?" to "How do we use it responsibly?" Insurers are under pressure to innovate, but they also need to address concerns around data quality, compliance, security, and oversight. This keynote will share how organizations are finding the right balance, embracing AI's potential while putting the safeguards in place to manage risk and build confidence across the business.

• Building trust in AI across the organization, increasing adoption and business value
• Establishing guardrails for responsible AI use, reducing risk without slowing innovation
• Aligning business, technology, legal, and compliance teams, creating shared accountability
• Ensuring AI decisions can be understood and explained, strengthening customer and regulator confidence
• Scaling AI responsibly across underwriting, claims, and operations, delivering measurable outcomes with confidence