As organisations increasingly leverage data, sophisticated analytics, robotics and AI in their operations, we ask who should be responsible for trusted analytics and what good governance looks like.
Read this report to discover:
- the four key anchors underpinning trust in analytics – and how to measure them
- new risks emerging as the use of machine learning and AI increases
- how to build governance of AI into core business processes
- eight areas of essential controls for trusted data and analytics.