Some companies have successfully parsed unstructured data through text analytics and natural language processing (NLP). These technologies help organizations sift through large amounts of unstructured data to find the nuggets of information they are looking for. What's more, parsing through unstructured data does hold several key benefits, such as:
Limitless use: Unstructured data isn’t predefined, meaning owners can use it in unlimited ways.
Versatile formatting: Users can store unstructured data in various formats.
Affordable storage cost: Enterprises have more raw, unstructured data than structured information. Storing unstructured data is both convenient and cost-effective.
File extraction: Gain more insight from your data with support for over 1,500 file formats, and a Document file reader and file extraction with standalone file format detection, content decryption, text extraction, subfile processing, non-native rendering, and structured export solution.
AI Digital Assistant: Once data is analyzed, natural-language dialogues are pulled from many different sources to provide highly matched answers to questions. Visitors to your site can chat with an automated, human-like natural language digital assistant.
AI Video Surveillance & Analytics: Automatically monitor thousands of CCTV cameras in real time or retrospectively. Tag video, send alerts, review, and distribute to interested parties. Includes facial recognition, event analysis, license plate recognition, and more.
Law Enforcement Analytics & Media Analysis: Identify and extract facts from video and image evidence during investigations. Collect, organize, classify, and secure these assets faster while reducing costs and the strain on labor.
Natural Language Q&A and Chatbot: Accesses a variety of sources for highly matched answers and responds in a natural language format. Create a human dialog chat experience for customers through AI and ML.