One of the primary roles of emerging technologies is to make humans more efficient and more effective. Technological advances help us to do more while using fewer resources, enhancing products and services, and fueling innovation. Ad Age brought this topic to us in their article, “How Machine Learning Can Create a More Relevant, Profitable E-Commerce Experience.”

E-commerce retailers are no different from other businesses with data repositories, and they’ve received much tech attention since the industry matured. This includes the introduction of machine learning, an integral part of artificial intelligence (AI), into e-commerce data analytics.

With machine learning, e-commerce brands use their first-party data to identify and present targeted ads and offers to the right customers at the right times, ultimately delivering more value across a more seamless shopping experience.

The real challenge comes for organizations with little knowledge regarding how AI systems make decisions. They are ultimately left in the dark when attempting to apply the produced results. Explainable AI allows users to comprehend and trust the results and output created by machine learning algorithms.

Melody K. Smith

Data Harmony is an award-winning semantic suite that leverages explainable AI.

Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.