The insurance industry is experiencing a significant skills gap in the claims workforce. Senior and accomplished examiners and investigators are retiring and walking out the door with institutional knowledge not captured by the carrier. These gaps are disrupting the claims workflow, resulting in higher severity, not recognizing insurance fraud schemes, and higher incidences of litigation. Recent advancements in artificial intelligence can fill these gaps and assist insurance professionals.
In this presentation, you will learn how advancements in AI, machine learning (ML), natural language processing (NLP), and semantic analytics (SA) can make the claims workflow more efficient and productive and train your new team members while plugging the gaps.