16 February 2021 Improving understanding of machine learning for end-users This article will explore how AI vendors can improve the understanding of machine learning for the benefit of end-users How do we open up the black box that continues to present itself to end-users as machine learning? Machine learning has seen use cases rise as more and more sectors, from healthcare to insurance, leverage it to increase the speed of operations. Research from Algorithmia found that 76% of enterprises are prioritising AI and machine learning in their 2021 IT budgets. But despite the technology being more pervasive than ever within enterprises as well as in everyday life, end-users can still feel left in the dark as to how machine learning works, and its value can be unclear to business leaders.