
The billion-dollar investments that insurance carriers have funneled into artificial intelligence and high-level data science are frequently neutralized by a pervasive inability to translate theoretical models into live, operational rate changes. Many insurance carriers are currently trapped in a cycle of expensive stagnation, spending millions on elite data science teams and cutting-edge tools only to see those insights die in










