We’ve seen a lot of AI being used in marketing automation, trying to find patterns in companies’ data to link things up across the customer journey and to allow them to do attribution, but that’s probably marketing automation version 1.0.
Every facet of the insurance business is subject to innovation. With such a wide range of opportunities in business lines, it’s a matter of prioritisation and focus for senior management. A large organisation can run lots of experiments, but there must ultimately be practical, profitable outcomes.
Interpretability is the ability to explain to a human being how a machine learning algorithm came to its decision. Why is this important, and how might it impact your business?
What is Machine Learning? How does it work? And, how can you apply it most effectively in your company? We answer these questions and more.
A detailed, but, accessible guide for non-experts on the potential and practicalities of applying AI to your business.
The implication is that the most valuable type of analytics are the most difficult to produce. We will look at each of these areas in turn and detail the mistakes that we have seen companies make over and over again.