Automation, AI and other innovative technologies provide an opportunity for the insurance industry to increase efficiency and keep pace with these labor changes, whilst being proactive about reorganizing for the new Future of Work. Helping your workforce develop their skills to keep up with this digital transition is vital to the success of every insurer.
Insurers are investing heavily into data analytics and AI but far too often the outcomes are meaningless. Insurers end up making the wrong decisions based on worthless insights. Set your golden data source and advanced analytics to eradicate decision making errors from AI’s predictions.
In this talk, I go over some interesting case studies from the past to highlight the challenges and what lessons we can learn from them.
While there are many predictions about how the future of analytics will unfold, we don’t have to always wait for them to come true for analytics to be a value producing component of the business.
Describes methods to create deep models by combining analytics with simulation methods to help the business make operational and strategic decisions.
Commonly used analytics techniques are not sufficient by themselves to fully realize business value. In this presentation I describe how we use analytics combined with operations research techniques to inform business decisions and realize business value for the enterprise.
