Humans want to speak to machines the same way they speak to each other -- in natural language, not the language... You forgot to provide an Email Address. This email address doesn't appear to be valid. This email address is already registered. You have exceeded the maximum character limit.

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.

The large volumes of structured, as well as unstructured data generated at an unprecedented rate, has taken the industry by storm. Growing prevalence of Big Data in the IT sector has fueled the need for newer tools powered by Artificial Intelligence (AI) and Natural Language Processing (NLP).

Turning data into insight is one of the top business challenges today, and it becomes especially tricky when the data in question is unstructured. Artificial intelligence has a mixed track record there, but a young startup aims to get better results by bringing humans back into the picture. Spare5 on Wednesday released a new platform that applies a combination of human insight and machine learning to help companies make sense of unstructured data, including images, video, social media content, and text messages. The result, it says, are "game-changing insights delivered cost-effectively and at scale." The company's technology is now being used by companies including Expedia and Getty Images to enrich, clean and label unstructured data.

Turning data into insight is one of the top business challenges today, and it becomes especially tricky when the data in question is unstructured. Artificial intelligence has a mixed track record there, but a young startup aims to get better results by bringing humans back into the picture. Spare5 on Wednesday released a new platform that applies a combination of human insight and machine learning to help companies make sense of unstructured data, including images, video, social media content, and text messages. The result, it says, are "game-changing insights delivered cost-effectively and at scale." The company's technology is now being used by companies including Expedia and Getty Images to enrich, clean and label unstructured data.