Many insurance companies are seeing deteriorating underwriting results and an explosion in fraudulent claims which cost the industry $billions, directly impacting their profitability and competitive position. With the advent of comparative raters, prospects can price compare many companies instantly, often simply choosing the lowest price. This leads to carriers becoming exposed in areas where they misprice to make a sale or auto-pay a claim that later turned out to be fraudulent.
Being able to understand the hundreds of data points from within as well as outside the enterprise to analyze and model risk, price, and market potential is the prime catalyst for insurance AI transformation projects. While most organizations use historic data to make decisions about underwriting and claims processing, leading companies are implementing AI to anticipate consumer demand, analyzing data from across the industry and modeling that against data on the economy, regulations, and technology advancements to optimize those plans to improve market share and profitability.
However, embracing these technologies requires a strategic approach and alignment between IT and business objectives
Ultimately insurance industry professionals are experts in their field and not usually comfortable with the rapid advancements in technology. So, having the ability for an average business executive to “converse” with a machine using natural language (NLP) to get the analytics they need to make better decisions, streamlining business and operations to accurately predict underwriting and claim risk by inspecting hundreds of variables instantaneously identifying the potential for fraud or further required assessment.
Modernization of legacy applications has become a “need to have” for insurance professionals looking to maintain their competitive standing and operational profitability. Instead of continuing down the path of proprietary solutions that require dedicated tools and resources, many are now evaluating an data intelligence cloud solution that leverages new advancements in GenAI and reinforcement learning. Simply put, a data intelligence cloud is a cloud computing platform that leverages to power of GenAI to enhance its capabilities and transform data into usable information accessible by the average person, allowing them to harness their organization’s full potential by capturing and harnessing the right data, advanced analytics and AI capabilities.
A successful AI transformation/data intelligence cloud project for insurance industry analytics will empower business leaders to get actionable insights in real-time to make better decisions without the need for specialized tools and resources, while maintaining security and privacy, while freeing data analysts to innovate instead of generating reports. Some of the specific use cases include:
The good news is that you won’t have to wait months or even years to realize the benefits of an intelligent cloud for your insurance operations. New developments in open-source, zero-code SaaS platforms mean that legacy system modernization projects can be tackled with a data intelligence cloud that reduces dependencies on proprietary systems and the costs of dedicated tools and resources.
Vendors like UBIX deliver on the promise of a zero-code, highly scalable and flexible cloud architecture that leverages to power of GenAI, Reinforcement Learning and Agentic AI to enhance its capabilities and transform data into usable information accessible by the average person starts with ensuring you have the right data to the right person at the right time in the right format. With an architecture that is designed to adapt to the varying demands of automotive manufacturers, allowing them to scale up or down based on their specific requirements.
Learning how GenAI and emerging advancements like Reinforcement Learning and Agentic AI can deliver on the promise of a data intelligence cloud for automotive industry analytics has never been easier. Download our free eBook titled “Solving the Problem of Data and Decision Making” to help better understand the nuances of emerging AI concepts and technologies and offer a set of best practices for consideration to ensure digital transformation and business-led AI success. Or if you can spare 22 minutes for a mini–AI Readiness Workshop, you can contact one of our AI experts today.