HPE IDOL Released with Natural Language Processing Capabilities Aimed at Enterprise-Level Tasks
June 16, 2017
The article titled Hewlett Packard Enterprise Enriches HPE IDOL Machine Learning Engine With Natural Language Processing on SDTimes discusses the enhancements to HPE IDOL. The challenges to creating an effective interactive experience based on Big Data for enterprise-class inquiries are related to the sheer complexity of the inquiries. Additional issues arise around context, specificity, and source validation. The article examines the new and improved model,
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… HPE IDOL Natural Language Question Answering is a core feature of the new HPE IDOL 11.2 software release that features four key capabilities for natural language processing for the enterprise.
These capabilities are the IDOL Answer Bank (with pre-set reference questions), Fact Bank (with structured and unstructured data extraction abilities), Passage Extract (for text-based summaries), and Answer Server (for question analysis and integration of the other 3 areas). The goal is natural conversations between people and computers, an “information exchange”. The four capabilities work together to deliver a complex answer with the utmost accuracy and relevance.
Chelsea Kerwin, June 16, 2017
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