As the Worldwide Industry Marketing Manager for Insurance, Kim Minor is responsible for marketing insurance software solutions, with a special focus on big data. She has 14 years of insurance industry experience including market development and insights, solutions development, services consulting, and business processing outsourcing management. Kim holds a business degree from Purdue University with additional financial analysis and merger and acquisition experiences with Eli Lilly and Company, The Timken Company, and The Cleveland Clinic.
Worldwide Industry Marketing Manager for Insurance
October 25, 2013
The Insurance Track within the Business Leadership Forum at Information On Demand 2013 offers some exciting opportunities for you to learn about the breadth and depth of IBM’s big data and analytics capabilities from a business-level perspective while hearing from global insurers on their own journey from what’s worked and what hasn’t, to where they’ve seen some of the biggest value.
October 11, 2013
Insurance companies are working to define solutions that support integration across a number of sources to provide a “360-degree view” of producers and policyholders.
June 20, 2013
Analytics solutions designed to handle the volume and variety of data available today also help insurance companies improve catastrophe risk modeling, through which companies determine the exposure of current policies and predict the probable maximum loss (PML) from a catastrophic event.
May 8, 2013
In my previous two blogs [here and here], I’ve talked about how cognitive computing and big data present the insurance industry with great opportunities and some challenges.
May 2, 2013
“Organizations around the world lose an estimated five percent of their annual revenues to fraud, according to a survey of Certified Fraud Examiners (CFEs) who investigated cases between January 2010 and December 2011.
April 10, 2013
In last month’s post, I talked about how cognitive computers, like IBM Watson, have the ability to do what the earliest underwriters did: approach each risk individually and, based on histori
March 19, 2013
Today, two major factors are poised to change the insurance industry in a way it hasn’t seen in more than 50 years—emerging capabilities enabled by cognitive computing and big data, and an empowered consumer.
March 12, 2013
Insurance companies are looking to accelerate the speed and increase the precision of catastrophe modeling, the process through which companies determine the exposure of current policies and the probable maximum loss (PML) from a catastrophic event.