How to Consume Machine Learning Output


  • Short Video


  • Machine Learning
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Investment in machine learning and AI is expected to grow by 20% this year, and companies are relying on these approaches to deliver a competitive edge in key areas of their business.

To make the leap from implementing the algorithms to driving transformational change requires intentional focus on how new wisdom gained is perceived by the wider organization and applied in business decision-making.

In this short video we’ll focus on key pillars of rolling out intelligent insights to push from machine learning models to delivering value for the business. By looking at how to use insights to drive action, we’ll show how you can improve the return from your AI investment.


If you liked this video, make sure to check out the rest of ‘The Stages of your Analytics Journey’ video series. In this series we talk through each stage of the journey that an organization can undergo to effectively apply machine learning (ML) to their data to find insights and inform decisions. From the beginning steps of creating an ML model, all the way through to having a successful productionized solution that the business understands and uses repeatedly, and every stage in between. Parts 1, 2, and 4 are linked below.

How to Consume Machine Learning Output

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