With some form of AI perennially at the peak of the ‘hype cycle’, how are we finding useful applications for machine learning? Practitioners face many roadblocks, such as the availability of data, implicit bias, privacy considerations and overblown expectations. Transparency (or ‘explainable AI’) is seen as a particular challenge. These concerns are not unfounded. We present ways of addressing these concerns in a technology agnostic manner, with concrete examples.
Wouter van den Berg works at Blueriq, a leading knowledge automation company. Optimizing customer journeys for both customer happiness and business value, Blueriq is combining expert system technology and machine learning in user-friendly business software. Wouter joined Blueriq after university where he studied artificial intelligence. He’s always up for a cup of coffee to discuss service design (especially in financial services), knowledge automation, business engineering and AI.