Advanced BI: How Insurers Can Make Better Use of Predictive Analytics
Kathy is a frequent speaker/participant at industry/association/sponsored conferences and events, and also has presented at a number of technology company user group and sales force events, including those produced by IBM, SAS, Microsoft, CSC, Sun Microsystems, Unisys and Oracle, as well as numerous Webcasts sponsored by industry leaders including IBM, Oracle, SAP, SAS, Microsoft and CSC. During Kathy's publishing and media career, in addition to financial services technology she also has covered the real estate and retailing industries. She is a graduate of Carleton College.
Before joining Aite Group, Jamie worked most recently for IBM Research as the research relationship manager for insurance, responsible for providing industry expertise to the scientists and mathematicians as well as exposing advanced technology research to insurance companies. He also worked for IBM’s Institute for Business Value, developing thought leadership as the global insurance industry leader and serving as the global non-life segment manager for the sales & distribution division. Mr. Bisker garnered additional experience in the insurance and financial services industries as a senior analyst and research director during his five-year tenure at TowerGroup. Prior to TowerGroup, he worked for 14 years across the life, P&C, and workers' compensation lines at Nationwide Insurance. Jamie has also held IT and advanced technology positions in life actuarial, life operations, P&C, and workers' compensation and unemployment insurance areas at Nationwide.
Jamie is a futurist as well as a subject-matter expert in insurance, artificial intelligence and cognitive computing, and using advanced technology to drive financial services innovation. He is also an accomplished global speaker on advanced technology, the insurance industry, and other topics at public and industry forums, and he writes for insurance periodicals and online media.
Before joining Guardian, Kevin worked most recently at American International Group where he was responsible for leading finance groups within the life insurance, retirement and property & casualty business segments on a global scale. Beyond the traditional finance and analysis functions, Kevin was the key architect in leading the design and development of various management dashboards as well as enhancing the financial planning systems and processes on a global scale that encompassed hundreds of products across multiple currencies and countries. He also worked to build out the analytical framework to help executives better understand the key drivers in the business. Kevin has the unique financial and business background as a champion of change and applying business analytics and business intelligence to everyday use as well as being technically savvy to understand how to apply the right technology to the business needs. Prior to AIG, Kevin worked for 15 years at Prudential where he held various leadership roles within finance, risk management, operations and marketing in the financial services distribution channels and got his start early on in developing early warning systems to detect and predict agent and customer behaviors.
Kevin continues to develop his passion for analytics and using technology as an enabler in many environments and has been a speaker at events over the years to illustrate how analytics can be developed from within the business at a rapid pace allowing business executives to understand the key drivers on their business on a more proactive level.
He joined IBM in 2007 and brought with him over 30 years of experience in the insurance business. Craig has a unique blend of field office, producer and home office accomplishments across multiple areas including underwriting, claims sales, marketing, special operations and finance. Additionally, he is a licensed insurance broker.
His passion for analytics and optimization lead him to apply his industry knowledge and expertise to assist Property & Casualty, Life and Annuity business leaders develop a strategic agenda to effectively utilize business intelligence; enterprise financial performance management; predictive analytics; risk analytics; geo-spatial and sales performance management solutions as a competitive differentiator.
Craig is responsible for IBM’s global strategy in Business Analytics SWG (Business Intelligence & Predictive Analytics; Financial Performance Management, and Financial Statement Reporting; Sales Performance Management and Enterprise Risk Segment offerings for Insurance (Property & Casualty/General Insurance as well as Life/Annuities). He directs the firm’s insurance solutions, sales, marketing, and services strategies for Smarter Analytics.
Recognized internationally for his expertise in business analytics, Craig is an outspoken industry advocate and authority regarding the application of analytics in insurance as well as the necessary cultural changes necessary to drive performance management in an insurance organization.
He is also the co-author of the book titled Performance Manager: Proven Strategies for Turning Information into Higher Business Performance for Insurance and is regularly asked to speak for insurance associations and is quoted internationally by industry press on matters related to the insurance industry’s use of technology to augment business decision making.
For insurance companies to achieve true success with business analytics, they must be able to not only measure and track insight into past and current risks, claims and overall business performance, but they also need to have a full-scope view that includes predictive analysis. After all, being able to better understand only what’s in the rearview mirror puts insurance decision makers at risk of missing the risks and market opportunities in front of them.
You’ll hear examples of insurers that have successfully implemented these advanced business analytics solutions and how they’re transforming their business processes, including product development, customer service, and delivery.
- How to optimize business insight from your corporate data so you can outpace your competitors, and what tools IT should implement
- The importance of having a 360-degree view of business operations that includes insight into past, current, and future operations
- Ways IT can better empower employees to be a part of the data analysis process with simple, easy-to-use technology
- How IT can work with LOB managers to better target business needs and customize the BI approach
At this one-hour video webcast you’ll learn how predictive business analytics can make business intelligence solutions more effective, and as a result make insurance business decision makers more successful. Find out how BI solutions now provide not just useful reporting options and real-time dashboarding, but also predictive analysis for making intelligent choices about future compliance, underwriting, customer engagement and financial operations.