JAGGAER has itself been moving towards closed-loop feedback systems that rely on machine learning for continuous improvement. Here we describe an example: the JAGGAER Digital Assistant. JAGGAER, ERP and third-party data is fed into a central data layer. The information is used in traditional analytics and reporting, but what is new is that algorithms are now providing real-time support for decisions, recommendations and actions. Typically, there might be several recommendations and the end-user takes a decision based on which of these makes most sense.

This blog post discusses how the General Data Protection Regulation (GDPR), if properly enforced, can support organisations deploying artificial intelligence (AI) with the appropriate governance. As digital ethics and privacy become increasingly intertwined, it is crucial to ensure we set clear guidelines about what businesses can and cannot do with people's data. Technology is changing our day to day lives and we should embrace this development. When it comes to AI, the issue is not innovation, or the pace of technological improvement. The real problem is its governance, the ethics underpinning it, the boundaries we give it and, within that, the roles for defining the solution to these problems.