Right now, businesses are focused on getting the most out of their Data and AI platform without overspending to make sure it is operational and running productive workloads. This means having an always-on, 24x7 system that can handle huge spikes in workloads when needed. Many
Max Jaiswal is the enterprise data team lead at AIA Australia, a pan-Asian life insurance company with presence in 18 markets across the Asia-Pacific region. The 100-year-old firm is the largest life insurer in the world, and the largest company on the Hong Kong stock exchange, with assets of USD $
Using IBM Counter Fraud Management (CFM), an insurer can improve the operational effectiveness of its fraud prevention program and drive impressive fraud savings. IBM Watson helps insurers detect, respond and stop fraud with the ability to tap unstructured data.
No one is safe from fraud and financial crimes. When fraud occurs, it compromises secure data, raises legal fees, affects the bottom line and erodes customer confidence. Fraud is universal, with constantly evolving schemes. Regardless of the industry, a new holistic approach is needed to detect
Many suggest that the insurance industry's operating models already include the cost of fraud, creating higher cost structures and premiums. By taking full advantage of the integration and advanced capabilities being offered by leading counter fraud solution providers, enterprise counter fraud
Applying cognitive technologies that understand, reason, learn and interact can improve the way insurers do business. Hear IBM insurance experts Christian Bieck and Noel Garry discuss how insurers that are outperforming competitors are transforming their business, based on information from the
Applying cognitive technologies that understand, reason, learn and interact can improve the way insurers do business. Hear IBM insurance experts Christian Bieck and Stephen Mills discuss how outperforming insurers are rethinking insurance, based on information from the recent IBM Institute for
When considering how to adapt to technology, the insurance industry can look to benefits reaped by the financial industry. In this episode of Finance in Focus, hear insurance experts Kathy Hutson and Sebastien Meunier discuss the opportunities cognitive computing can bring to the insurance industry.
Using IBM Counter Fraud Management (CFM), an insurer can improve the operational effectiveness of its fraud prevention program and drive impressive fraud savings. IBM CFM leverages entity analytics, anomaly detection, predictive analytics and machine learning along with powerful forensic analysis
As policyholders continue to turn to online resources for insurance information and support, digital engagement will be increasingly critical for insurance company operations. Both cognitive computing and analytics can play a key role in the engagement process, showing insurers how to best optimize
IBM Watson Customer Insight for Insurance helps you leverage dynamic customer segmentation to create a more personalized policyholder experience based on the policyholder's financial and life events. This video demonstrates how to view and share actionable insights from easy-to-use, customizable
Customers’ desires have changed dramatically through the years. Most notably, modern consumers expect organizations to know them—and, what’s more, to anticipate their needs. In such an environment, traditional approaches to customer segmentation are giving way to new methods of engaging with
Over the past two years IBM has been moving in the direction of being a data driven cognitive and cloud company. As part of this transformation, IBM has acquired The Weather Company that provides some of the most accurate weather data to pinpoint the impact of impending weather event to a specific
This industry customer panel was recorded live on Wall Street at the IBM Forum for Financial Services in New York City on 20 September 2016. It includes comments on the business benefits of IBM Customer Insight Solutions from Pershing, Southern Farm Bureau, USAA and US Bank. IBM Customer Insight