Artificial intelligence (AI) and machine learning are becoming daily terminology not only for professionals, but also consumers. This interesting topic came to us from Built In in their article, “How Artificial Intelligence and Machine Learning Will Reshape Enterprise Technology.”
These days, AI is more common than one may think, as it is being used worldwide across multiple industries, including healthcare and finance. Intelligent assistants like Alexa and Siri, self-driving cars, conversational bots, email spam filters, and Netflix’s recommendations are some examples of AI, so it would be safe to say that one may be in contact with AI daily.
Even in ideal economic conditions, companies still want to explore AI, machine learning, and automation in their relentless pursuit of greater cost efficiency for their bottom line. Given the slowing of the economy, these investments will be even more crucial, and more and more, we see companies fail to leverage their knowledge early enough for artificial intelligence and machine learning systems to be most effective.
Unfortunately, most organizations have little knowledge regarding how AI systems make decisions and they are consequently in the dark about how to apply the 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.
