Customers have more information at their fingertips than ever. The trick is reaching the right customer, at the right time, on the right device. With more business being conducted online than ever, carriers, brokers and agents are discovering new strategies and tactics to better reach their customers. Traditional distribution methods are becoming less viable as insurance buyers have greater visibility into alternatives, expect personalized digital experiences, and can compare policies online with a few clicks. It's an opportunity for insurers to connect with their audiences and produce positive digital experiences in uncertain times.

A few weeks ago, I had the opportunity to demo Chisel AI's Submission Triage and Policy Check solutions at Digital Insurance's Dig In conference in Austin. In speaking with commercial insurance brokers and carriers at the event, a common theme was how to get artificial intelligence implemented. Insurers understand the necessity of innovation in their industry and are excited about the potential benefits of AI in streamlining workflows and improving the digital customer experience. But they have valid questions about how to deploy an AI solution in production, and what a successful AI rollout looks like in the real world. According to a new report conducted by CompTIA, a mere 19 percent of companies say that they have expert knowledge around AI.

The following is an opinion article written by Pranav Pasricha, CEO of Intellect SEEC. Data science will fundamentally alter insurance in a way that many don't expect and the impact will be felt across the industry, touching everyone from agents and brokers to underwriters and claims processors. While many fear it will replace legacy operations, upon closer examination, data science will only serve to enhance existing processes, driving efficiency and adding value. The Old Equation To understand the role data science will play in the future of insurance, you must begin with the basic underpinning of insurance: information x analysis insight. In today's insurance landscape, that theory has manifested into historic data x statistical modeling hindsight.

Canadian insur-tech startup allai is taking an innovative approach to AI for the Canadian insurance industry. There are 2 types of "friction" we are tackling at allai. First of course is insurance friction and second is AI friction. Many of the existing options on the market are based on an "AI as a Service" model where the customer, policy, claims data must "live" in a provider's cloud or data center. This causes concern with regards to not only privacy and security for the insurance industry but also adds friction over data intellectual property (IP).