Artificial intelligence (AI) and machine learning are becoming daily terminology for not only professionals but consumers as well. This interesting topic came to us from Built In and their article, “How Artificial Intelligence and Machine Learning Will Reshape Enterprise Technology.”

These days, AI is more common than one may think. It is being used worldwide across multiple industries including healthcare and finance. Self-driving cars, intelligent assistants like Alexa and Siri, conversational bots, email spam filters, and Netflix’s recommendations are some examples of AI on the job, so it would be safe to assume that one is in daily contact with AI.

Even in ideal economic conditions, companies still want to explore AI, machine learning, and automation in their relentless pursuit of greater efficiency. But given the slowing economy, these investments will be even more crucial.

Unfortunately, most organizations have little knowledge about AI systems’ decision-making process or how to use the valuable insights gained from AI. 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.