HyLighter Datasheet: Provides a two-page general description of HyLighter.
HyLighter CSS One Pager: Provides a one-page general description of the HyLighter Collaborative Sensemaking System (CSS).
HyLighter CSS White Paper: The HyLighter Collaborative Sensemaking System (CSS) adds a powerful social component to Big Data analytics by combining the HyLighter social annotation engine as the front-end (i.e., the part of the system that users interact with directly) with various smart machines on the back-end. CSS allows you to choose from a variety of data analytics, image pattern matching,and visual analytics platforms, as well as other supporting applications, to create the system that works best for you. The system enables virtually any size group of end-users, including non-data scientists, to efficiently, effectively, and easily interact with each other and smart machines to turn structured and unstructured data into actionable knowledge.
HyLighter CSS for the Detection of Unknown Unknowns: In the age of Big Data, detecting the unknown unknowns represents both a challenge and opportunity facing knowledge workers across all sectors. This brief white paper describes how HyLighter CSS establishes a two-way feedback loop between machines and analysts that supports a systematic approach to the detection of unknown unknowns hidden in Big Data.
A Different Approach to the Big Data Challenge: Today, most approaches to the Big Data challenge focus on making smart machines better at answering questions, revealing patterns hidden in the data, and delivering insights. This brief white paper suggests a different approach to the Big Data challenge: Focus on improving the performance of analysts and decision makers in accomplishing mission critical goals by making machine intelligence compatible with human sensemaking activities.
HyLighter CSS for Social Learning Environments: Provides a one page description of an approach to teaching and learning that helps organizations and individuals improve their capacity to transform machine intelligence into actionable knowledge and, at the same time, accelerate machine and human learning.
HyLighter CSS for Analysts and Decision-Makers: This slide stack addresses two key issues facing knowledge workers in the Digital Information Age: (a) how can individuals with diverse perspectives collaborate effectively to generate actionable knowledge from Big Data within project or mission timelines and (b) how can we make smart machines compatible with human sensemaking practices as researchers, analysts and decision-makers confront surging volumes of largely unstructured content?
SharePoint Integration with HyLighter: Describes how our new plugin allows you to store your documents in SharePoint while exposing the rich collaboration capabilities of HyLighter.
Technical Specifications: Offers detailed information on requirements, installation, configuration and upgrading.