Time | Session | Speaker |
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12:00 pm - 1:00 pm | Registration & Networking | |
1:00 pm - 1:15 pm | Opening Remarks |
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1:15 pm - 1:45 pm | Keynote Address |
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1:45 pm - 2:15 pm | The Current Use of Models in Casualty and Specialty This session will address how the insurance industry is currently embedding data and analytics into marketing, product development, underwriting, pricing and claims management. |
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2:15 pm - 3:00 pm | Why Analytics? How can data and analytics help your organization better achieve growth and profit goals? What role does senior management play in driving the development and use of advanced analytical tools? How do a newer generation of forward-looking models compare to traditional models based on historical data and outcomes? This panel will provide decision-makers with an actionable framework for assessing the strategic benefits of analytical tools and for making important resource allocation decisions for models and data.
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3:00 pm - 3:15 pm | Break
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3:15 pm - 4:00 pm | The Quest for Data: What Decision-Makers Need to Know The volume of data available for analysis is growing exponentially. How can decision-makers know what represents a good investment in data to be compiled or licensed? This panel will address the issues facing data officers in insurance entities when identifying data to include in predictive models. The panel will address questions including: What does your organization need from Big Data? How can the right data be procured? What can the data do? What challenges does it present? How useable is it? |
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4:00 pm - 4:30 pm | Legal & Privacy Issues Around Data What are the privacy and security issues posed by Big Data? What do executives need to know about protecting company data used in analytic tools and other data projects? This session will address some of the fundamental legal issues associated with acquiring, storing, analyzing, sharing and using output from both internal and external data sources. |
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4:30 pm - 5:15 pm | Declaring Success What is an appropriate ROI for predictive and forward looking models? How can it be measured? What are other criteria for success in Big Data and modeling projects? This session will examine the Critical Success Factors for various types of data and analytics projects and offer guidelines for assessing outcomes. |
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5:15 pm - 6:15 pm | Closing Remarks & Reception Sponsored by Ezra Penland Actuarial Recruitment |
We consistently deliver an audience that is 25% or more comprised of Risk Managers & Insurance Buyers, Brokers (25%-30%), Insurance Companies (30%), Lawyers (10%), and other insurance professionals (5%).
Get more information and submit your speaker proposal.
For more information regarding event sponsorship, reach us via [email protected].