Today, Natural Language Processing finally means business

While natural language processing (NLP) has become commonplace in the consumer space, e.g. Apple Siri, Amazon Echo and Ask Google, it has been the "sounds of silence" in the halls of enterprises around the globe. 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 challenging 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. Today that all changes with Hewlett Packard Enterprise Software's announcement of a new release of its flagship unstructured data analytics engine, HPE IDOL, featuring advanced Natural Language Question Answering for the enterprise.