BUSINESS INTELLIGENCE

Cloverleaf Analytics Announces AI and Data Security Capabilities

Cloverleaf Analytics | June 03, 2022

Cloverleaf Analytics
An insurance intelligence platform that has transitioned from BI vendor to full-fledged AI and machine learning-powered platform, Cloverleaf Analytics is delighted to announce several new capabilities powered by these AI and ML technologies, as well as new capabilities for advanced analytics and data security. Customers can now take advantage of an on-demand training resource from Cloverleaf to get the most out of their investment in the platform.

“In the last three years, we have expanded our platform introducing NLP and chatbots leveraging insights from actuaries and data scientists to our latest AI/ML, advanced analytics, and data security capabilities. The combination of insurance data and these technologies is what we are terming Insurance Intelligence. In parallel with our path of innovation, the world has significantly changed with new risks and new technologies that connect every aspect of consumer life. Our innovative insurance intelligence platform is built from the ground up with todays and tomorrows insurance needs in mind.”

Robert Clark, President of Cloverleaf Analytics

The Cloverleaf-Snowflake data lake and new quotation module AI/ML capabilities will allow insurers to forecast new insurance risks, products, and suitable pricing to attract a variety of consumer and commercial client categories in a forward-looking manner.

To go along with the new features, Cloverleaf is developing a new learning management system to help insurance professionals get the most out of their data.

Spotlight

The story of how data became big started many years before the current buzz around the topic. The following Infographic depicts the major milestones in the history of sizing data volumes, showcasing how Big Data has evolved.

Spotlight

The story of how data became big started many years before the current buzz around the topic. The following Infographic depicts the major milestones in the history of sizing data volumes, showcasing how Big Data has evolved.

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