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, IBM
August 21, 2014
We certainly live in a connected world. It always amazes me when I see how smarter enterprises are using the highly interconnected, intelligent and instrumented qualities of today’s technology to make our world a better place: the way we interact changes, how we approach our day is different and what we expect is far higher than ever before. Driving this fantastic change is none other than the Internet of Things (IoT).
April 17, 2014
Insurers investing in the science of data and analytical capabilities can now monetize their data with greater certainty, creating value by customizing one-on-one policyholder interactions and personalized offers that quickly service their requests. Read the story that data can tell for insurance providers.
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