IDOL is a unified platform to provide text analytics, speech analytics and video analytics with support for over 1000 data formats. It enables out-of-the-box access to 150 data repositories behind and beyond your firewall, (for example, Documentum, Dropbox, and such) as well as indexes data without relocation and disruption.
Micro Focus IDOL makes it easy to detect and identify specific known object classifications such as people, bikes, packages, buses, and automobiles within image and video feeds in real time. Whether for traffic optimization or physical security surveillance, IDOL is unmatched in its ability to detect and identify key objects within an image.
IDOL's speech-to-text capabilities automatically transcribe audio files using sophisticated natural language processing and speaker detection to provide a true-to-conversation text file. These files can be stored and analyzed for quality assurance, topic matter, and trends in messaging.
Micro Focus IDOL Connectors are a core component of the IDOL platform, providing a flexible, precise approach to data management. Connecting to a wide range of over 200 disparate content repositories, IDOL Connectors offer a simple, fast, and proven way to break down data silos for holistic enterprise search and data analytics.
IDOL combines sophisticated probabilistic modeling with NLP algorithms to extract concepts and insights from written or spoken language automatically and accurately. This ensures your employees are finding the content they need faster, regardless of format. IDOL NLP Machine Learning works by identifying patterns within human language, allowing it to be language independent.
IDOL connects to a wide range of over 150 disparate content repositories. The IDOL Connectors offer a simple, fast, proven way to break down data silos for a more holistic view of your data. Once the repositories are connected, IDOL can ingest over 1500 different file types, extracting both the content and metadata associated with the files.
KeyView, a file filtering and file transformation solution, is a standalone file format detection, content decryption, text extraction, subfile processing, non-native rendering, and structured export solution designed and built to work well with other components of IDOL or by itself. This includes our comprehensive set of PII, PHI, and PCI entity extraction grammars.
IDOL contains a library of entity grammars that identify and extract sensitive, high-value information from structured, semi-structured, and unstructured data sources using high performance natural language processing to meet common use cases such as personally identifiable Information (PII), Protected Health Information (PHI), Payment Card Industry (PCI) entities.
Micro Focus IDOL makes it easy to detect and identify specific known object classifications such as people, bikes, packages, buses and automobiles within image and video feeds in real time. Whether it be for traffic optimization or physical security surveillance, IDOL is unmatched in its ability to detect and identify key objects within a video file or live video.
Instantly detecting when events occur can be critical for maintaining security in a specific location. IDOL Surveillance Analytics uses machine learning and AI models to identify and notify when these events occur to reduce response times and improve security since manually monitoring for these events to occur is not always possible, especially over large or dispersed areas.
In many cases, the information requested is simply not present in either an FAQ data set or a structured database, so an extended approach is required. IDOL passage extraction looks through the corpus of data to find segments of documents that best answer the query directly in short sentences with relevant answers.
When you ask a human a question they are pulling from vast reserves of knowledge when they give you an answer. An AI and NLP chatbot should respond to questions the way a human does in natural dialogue. IDOL pulls from many different sources to give a highly matched answer to natural language queries to enhance customer experience when human interaction is not necessary.