Hewlett Packard Enterprise Enriches HPE IDOL Machine Learning Engine with Natural Language Processing - insideBIGDATA

Hewlett Packard Enterprise (NYSE:HPE) announced a new release of its flagship unstructured data analytics engine, HPE IDOL, featuring advanced Natural Language Question Answering. The new version of HPE IDOL leverages advanced machine learning functionality to improve the effectiveness and contextual accuracy of human interactions with computers. Among the biggest challenges facing organizations trying to leverage Big Data is providing answers to users' questions in a natural, effective manner without cumbersome user interfaces or extensive training. Interactive voice assistants and online chatbots have recently simplified this process for consumers, however developers have had a difficult time adapting this approach to enterprise-class tasks due to the complexity and context of the questions, trustworthiness of the source, specificity of the information needed and accuracy of the answer. HPE Natural Language Question Answering deciphers the intent of a question and provides an answer or initates an action drawing from an organization's own structured and unstructured data assets in addition to available public data sources to provide actionable, trusted answers and business critical responses.