Group Health Insights Blog
Welcome to Group Health Insights, our blog for insurance professionals. Check back often for perspectives, ideas, and insights on AI in the Group Health insurance industry.
Gradient AI helps stop loss carriers, MGUs, and captives predict group health insurance risk more efficiently and effectively with AI and machine learning models.
Customer Success Manager, Heather Burgess, answers 5 questions about how she helps Gradient AI’s Group Health clients optimize underwriting.
AI-powered underwriting solutions can solve many of the current challenges facing pooled risk groups, such as associations, trusts, and MEWAs.
Gradient AI’s Founder, Stan Smith, and General Manager, Jeff Snider, weigh in on artificial intelligence trends to watch in the insurance industry in 2025
Client Executive Specialist, Courtney Yablecki, answers 5 questions about how she helps Gradient AI’s Group Health clients optimize their underwriting goals.
With Gradient AI’s Renewal Analytics solution, you can leverage cutting-edge AI and ML algorithms to manage your existing group health insurance business
“The ability to understand risk is the lifeblood of insurance.” Centana Growth Partners explains why it led the recent Series C funding round in Gradient AI.
Insurance industry experts discuss AI’s impact on Group Health Underwriting, specifically the Carrier perspective.
Change management best practices for AI adoption in Group Health insurance, with a focus on how to overcome resistance to change with a change agent.
6 ways that AI helps health insurance carriers improve risk assessment, enhance underwriting efficiency, and grow business more profitably.
Senior Recruiter Kelsey Wagner collaborates with managers and teammates to find top talent who bring unique backgrounds and perspectives to Gradient AI.
From the Floor at NAPEO’s Risk Management Workshop: Industry Panelists Share Insights on AI for PEOs
NAPEO Risk Management Workshop panelists share insights on AI for PEOs: how to get started, outcomes, challenges, and more.
AI overcomes 5 key challenges seen by health insurers, empowering them to navigate underwriting complexities and foster more sustainable growth.
Data Scientist, Sumit Rane, answers 5 questions about how AI and ML models enhance risk selection for health insurance underwriters.
Senior Product Manager, Wes Jacobs, answers 5 questions about helping insurers use AI and machine learning to improve risk assessment and underwriting.
Gradient AI surveyed insurers to determine investment goals for AI and data in 2024. Here are the Top 4 trends.
Jason Oswald talks about why big data and AI can help Group Health insurers improve underwriting, win new business, and optimally manage their book of business.
Senior Client Executive, Karen Munroe, answers 5 questions about helping Gradient AI clients more effectively use our Group Health insurance solutions.
