Hewlett Packard Enterprise Extends Flagship HPE IDOL Analytics Platform
HPE IDOL 11 now enables intuitive self-service analytics to automatically identify trends and patterns within unstructured data
PALO ALTO, Calif., March 10, 2016 — Hewlett Packard Enterprise (NYSE: HPE) today announced a new version of HPE IDOL. This latest offering applies data analytics and machine learning for organizations to automate and supplement a vast array of manual-based tasks such as trend analysis and video surveillance.
HPE IDOL 11 combines context-based analytics and visualization capabilities to empower knowledge workers and help companies take a data-driven approach to their processes, operations, and customer interactions.
“Companies across the globe are embracing the power of analytics in everything they do,” said Fernando Lucini (@fernandolucini), CTO, Big Data, Hewlett Packard Enterprise. “Traditional databases were never designed to analyze human information and often lack the key capabilities necessary to effectively and reliably understand unstructured data. With the addition of next generation artificial intelligence, neural networks and machine learning based capabilities we now enable organizations to harness 100% of their data.”
New HPE IDOL 11 capabilities include:
- Integrated Graphical User Interface: Empowers business users to perform self-service analytics and shortens time to insight with intuitive, easy to use visualization functionality. This new functionality augments the versatile connector framework of HPE IDOLthat enables it to easily integrate with a broad spectrum of popular 3 rd party visualization tools and applications.
- Knowledge Graph Capabilities: Automatically discovers relationships between entities including people, places, and companies, to reveal insightful linkages and shared traits. For example, businesses can gain insights intowhat a company’s customers might have in common with each other in terms of their personal interests and social relationships.
- Advanced Context-Based Search: Delivers an innovative, fully customizable, open source capability that enables organizations to tailor and integrate meaning- based search results into mobile or enterprise applications.
- Rich Media Analytics: Incorporates neural network based deep learning functionality to enhance the accuracy of rich media analytics such as speech-to-text conversion (HPE IDOL can transcribe in almost 30 languages), face detection and speaker identification.