One of the primary roles of emerging technologies is to make humans more efficient and more effective. Technological advances help us to do more using fewer resources while 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.”
The introduction of machine learning to e-commerce, which has spun out of artificial intelligence (AI) to become a key application of that technology, has had many effects on both consumers and retailers and has reshaped the marketplace.
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.
