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, having seen a wealth of evolution since the industry matured. This includes the introduction of machine learning, which has spun out of artificial intelligence (AI) to become a key application of that technology.
With machine learning, e-commerce brands can harness their first-party data to identify and present the right ads or make offers to the right customers at the right times, ultimately delivering more value to buying customers across a more seamless shopping experience.
The real challenge comes for organizations, with little knowledge about how AI systems make their decisions, that are consequently 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. |
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Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.
