Perhaps one the single most significant changes to the analytics landscape in recent years had been the emergence of the data scientist. This role is continuing to evolve, with many organizations still in the process of establishing how best to incorporate this relatively new discipline into their
This is the first in a sequence of blogs that looks at how Planning Analytics and Decision Optimization can help organizations go from a plan to the right plan by leveraging optimization throughout the planning process.
The data lake can be considered the consolidation point for all of the data which is of value for use across different aspects of the enterprise. There is a significant range of the different types of potential data repositories that are likely to be part of a typical data lake.
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.
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
Listen to this podcast to learn how four IBM clients are using advanced analytics to dynamically segment clients by their behaviors, anticipate life and financial events, foresee client attrition, identify product opportunities and deliver tailored news and alerts. Jim Marous moderates the
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
Historically, Master Data Management (MDM) projects have focused on creating a single view of the truth that can be consumed by business processes. Learn more about how the evolving need to utilize MDM serves as catalyst for a new solution extension offering a managed data preparation and data
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.
Organizations looking to transform their operations can turn to data science for an approach that offers the ability to predict events and behavior, prescribe actions, derive insights and make informed decisions. Learn more about how you can tap into the power of data science through predictive
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