An entity’s workers’ compensation claims contain a plethora of valuable risk management data that can be leveraged to derive useful insights and cost savings. This presentation will highlight examples of applying predictive analytics to identify claims likely to develop adversely and explain how this information can help effectively manage your TPA and a claim’s life cycle. You’ll also gain insights on how artificial intelligence-aided data visualization can help understand cost drivers, as well as examples of leveraging historical claim and frequency information to equitably allocate costs.