[DSC Europe 2020] Next-best-actions using continuous intelligence - Stephen Hardy

Continuous intelligence through closed-loop machine learning can be used to efficiently solve many next-best-action business problems. We will describe a reusable pattern for activating internal company data for next-best-action decisioning that continually updates its models and can track changing customer preferences. We will illustrate this with a real-world use case in the insurance industry.

Stephen is a data science thought-leader and CEO of Ambiata - a specialist data science services provider based in Australia. He has delivered major data analytics, and is an inventor on 12 US patents, and has more than 20 academic publications.

This talk was presented during Data Science Conference Europe 2020 as a part of the Artificial Intelligence track.