Are you currently leveraging all processing and reporting capabilities of TAI’s Claims Module? Claims are a key component to reinsurance operations; the TAI Claims Module can be used to help streamline this aspect of your business. Read this FAQ blog to understand the benefits of the module and clarify common misconceptions about TAI Claims.
As reinsurance administration professionals, querying data is a common part of our role. Whether you are creating reports, analyzing data, or searching for the source of a data discrepancy, here are seven ways to query reinsurance data using TAI software.
When Artificial Intelligence comes up, it often conjures up thoughts about robots, lost jobs, and complex systems that - at first glance - can seem impossible to grasp. However, a large component that can be overlooked is the time dedicated towards teaching artificial intelligence and machine learning what you want it to. As we’ve emphasized before, the people and expertise behind the technology play a crucial role in driving the direction of usage, training, implementation, quality assurance and more.
Across the industry, insurance professionals are looking for new ways to innovate their processes, services, and solutions for better management and business outcomes. Agile project management/methodology can be used to generate new ideas, elevate productivity, and accelerate product innovation.
We have recently received inquiries about an increased number of Last Extract Warnings being seen in TAI .NET release 3.2 and above. This FAQ blog provides answers as to why this is occurring.
We recently wrapped up the 29th TAI User Group. Over 200 life reinsurance professionals joined us in Chicago for an exciting line up of speakers, breakout sessions and activities that Empowered Action. This included insightful discussions from two reinsurers, an engaging InsurTech panel, educational break-out sessions, networking events and numerous opportunities to stimulate both “left” and “right” brain thinkers.
When it comes to administering a smaller life reinsurance business, many small to mid-sized insurers feel caught in a bind. It would be nice to use software to automate the business, but if you’re small it can seem costly to make the switch. Instead, they stick to homegrown manual systems, which can be clunky and prone to human error.
Artificial Intelligence (AI) and Machine Learning (ML) are already impacting customer expectations, service options, and how professionals operate. Recognizing the potential and understanding the impact of AI and ML is the first step to maximizing your organization’s use of the technologies. As the industry continues to grow and transform, life insurance companies and professionals can leverage emerging technology to remain relevant and successful in a fast-paced, service-driven marketplace. Demystifying the technology and embracing the huge potential it offers for insurance are essential as we continue to deliver faster, more adaptable, and more efficient insurance solutions.
This FAQ will focus on answering questions on TAI Annuity. If you are attending the 2018 TAI User Group, be sure to sign up for Breakout #2 – How to Process Annuity Reinsurance with Ease on TAI. I will be providing a more detailed look at the system and Jacqueline Barrett, Director of Reinsurance Operations of LOGiQ³, will share her team’s experience during a TAI Annuity implementation.
Machine learning and artificial intelligence are hot topics right now – and for good reason. Machine learning (ML) and artificial intelligence (AI) are unlocking new insights, capabilities, efficiencies, and opportunities across industries and sectors. Life insurance is no exception. Getting a grasp of what it is and how it can impact life insurance is critical to rethink challenges, spot solutions, and adapt in a changing industry.