While not perfect, AI technologies can be transformational for businesses—increasing efficiency, reducing costs and improving processes. But AI works better as an addition to human skills, not a replacement for them. It must be leveraged in a way that won’t amplify the problems or issues its use is designed to solve—and to get true value, you need to be able to trust the results you get from it.
Enter explainable and trustworthy AI. With semantic technologies, like Progress® Semaphore™, companies can achieve more transparent, contextual and reliable AI outcomes.
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If you want to learn how semantic AI technologies provide context to data, leading to more accurate and trustworthy AI results, this guide is the perfect place to start.