Chief Data & Analytics Officer, Insurance Live

Keynote Presentation - COVID-19: Maximising the Impact of Data and Analytics When the Insurance Industry Needs It Most

• Why now is the time to alter perceptions and strengthen your position as a crucial business partner?
• How can you meet the short-term business needs without compromising long-term scalability?
• Accelerating innovation with a fast failure/fast recovery approach
• What data & analytics tools are having the greatest impact in insurance right now?

Joe Vellaiparambil, Chief Data Officer, Equitable

Keynote Presentation – Leveraging Data Science and Analytics to Accelerate the Business Out of Covid-19 

• Developing a business-focused and value-driven data science function
• Managing the impact on data processing, ingestion and storage capabilities
• Integrating multiple and diverse data sources to effectively mitigate risk and identify opportunity
• Demonstrating the accuracy and value of data-driven insights to empower fast and intelligent decision-making

CDO Panel Discussion – Maximising Business Impact by Understanding the “Why” When Building Your Data and Analytics Strategy

• How are business drivers dictating what you should be focussing on?
• Building the foundations of a robust data governance strategy across the business
• Identifying how to extract value in the near-term and get business buy-in
• How does cloud adoption feature within your data management roadmap?
• Modernizing practices and technology so it can be sustained into the future 

Louis DiModugno, SVP, Chief Data Officer, Hartford Steam Boiler	Don Vu, Chief Data Officer, Northwestern Mutual	Harbert Bernard, Global Value Consultant Lead, Profisee

Breakout Presentation - Implementing Organizational Change Management for Data Quality and Data Governance

• What change management methodologies are most applicable for the challenges in insurance?
• How can you win across department lines to make change stick?
• Ensuring executive sponsors aren’t paying ‘lip-service’ to the goals of your data program

Ryan Brubaker, CIO and EVP Operations, Seven Corners

Panel Discussion – Operationalizing AI to Deliver Increased Business Value

• Using AI and ML to sharpen your advantage in risk selection and segmentation
• Moving beyond use cases and embedding AI capabilities into business processes
• Running pilots and building on pockets of success to scale across the business
• Making people accountable for AI and the insights it generates

Himanshu Arora, Chief Data and Analytics Officer, Blue Cross and Blue Shield of Massachusetts	Nishant Upadhyay, Vice President, Information and Data Management, American Family Insurance	Sunder Gokulanathan, VP, Enterprise Data Hub, CSAA

Keynote Presentation – What Does ‘Digital’ Really Mean and How Does It Relate to Your Data Programs?

• How should you be thinking about tech to improve performance?
• How can you ensure data is accessible and easy to use by the business?
• Designing and building onmi-channel communication strategies

Panel Discussion - Winning the Fight against AI fatigue

• Translating board support into funding required to deliver AI capabilities
• Demonstrating the value of AI projects to executive leadership
• Navigating culture and structure to deliver AI programs effectively
• Top tips for getting business units excited about technology rollouts

Eugene Wen, Vice President, Group Advanced Analytics, Manulife	Tom Warden, Chief Data & Analytics Officer, Employers Insurance Group	Asif Syed, VP Data Strategy, The Hartford Steam Boiler

Breakout Presentation - Providing Fast and Accurate Insight to the Front Line of Insurance

• Leveraging external data sources to automate underwriting as much as possible
• Pre-packaging analytics to provide more intelligence for agents and claims teams
• Opportunities for proactive benchmarking and intelligence
• How can data and analytics functions add value in providing seamless multichannel support?

Breakout Presentation - Eliminating Data Siloing and Optimizing Network Efficiency in the Cloud

• How do you best prioritize datasets and workloads for cloud migration?
• Using detailed lineage and impact analysis to support cloud migration with minimal disruption
• How are approaches to analytics and modeling changing in the cloud?

Virtual Roundtable  – Where Does the Data Function Fit Within the Organization? 

• When should data teams be centralized and when should they sit within business units?
• How can remote working open up new opportunities for data teams?
• How can you encourage forward-thinking in relation to life company management?
• How heavily should business acumen feature when recruiting data scientists?

Tracy McDonagh, AVP Life Data Strategy, Amica Life Insurance Company	Daniel Gremmell, Head of Data, Policygenius	Christine Greenleaf, Director of Underwriting Analytics, Brighthouse Financial