The pandemic has impacted almost everything, including the technological world. Organizations had started investing heavily in advanced analytics and next-generation technologies like Internet of Things (IoT), blockchain, artificial intelligence (AI) and quantum computing. Not all organizations were able to make the best out of their investment. Analytics Insight brought this to us in their article, “Data Science – How Is The Reality Different From The Expectations?“
Having a clearly laid strategy and vision for an AI investment is critical. Unfortunately, most organizations have little knowledge of how AI systems make the decisions they do, and as a result, how the results are being applied in the various fields.
Explainable AI allows users to comprehend and trust the results and output created by machine learning algorithms. Explainable AI is used to describe an AI model, its expected impact and potential biases. Why is this important? Because explainability becomes critical when the results can have an impact on data security or safety.
Melody K. Smith
Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.