Artificial Intelligence - May 15 2019
For data-complex and risk-adverse industries like insurance, being able to access data locked away in file stores and data lakes is critical for effective decision making. Data collection and analysis is at the heart of insurance business processes. Real-time data extraction enables insurers to automate and standardize time-consuming labor-intensive processes. With insurers being under pressure to deliver a better customer experience, they are being forced to examine existing processes and adopt new methods of doing business.
With the adoption of technology solutions, insurers can re-imagine front-office and back-office processes. But given the plethora of technology available, it can be difficult to understand what it is and how to use it.
With all the hype around the new kid on the block – Artificial Intelligence – understanding how it compares with technologies like Robotic Process Automation (RPA) and Regular Expression and the potential use cases can be overwhelming.
There are many different types of Artificial Intelligence – and not all AI is created equal.