DECISIVE ANALYTICS is currently exhibiting at the 11th annual National Cyber Security Summit held June 4-6, 2019 at booth 305. The National Cyber Summit is the nation’s most innovative cyber security-technology event, offering unique educational, collaborative and workforce development opportunities for industry visionaries and rising leaders.
Decisive Analytics’ Alison Smith-Renner will be hosting a workshop on Explainable Smart Systems (ExSS) at the ACM Intelligent User Interfaces (IUI) 2019 conference in Los Angeles on March 20th. This workshop will bring together researchers in academia and industry who have an interest in making smart systems explainable to users and therefore more intelligible and transparent. It will provide a venue for exploring issues that arise in designing, developing and evaluating smart systems that use or provide explanations of their behavior.
Alison Smith-Renner, Senior UI/UX Engineer for DECISIVE ANALYTICS Corporation; along with her colleagues Bran Knowles, Forough Poursabzi-Sangdeh, Di Lu, and Halimat Alabi; recently had their article “Uncertainty in Current and Future Health Wearables” published in Communications of the ACM, the leading print and online publication for the computer and information technology fields. Mrs. Smith-Renner and her team raise areas of concern and call for further research to address uncertainty in health-wearable technology and the trade-offs they imply; specifically, how to provide access to confirmatory evidence of reliability, how to preserve provenance of uncertainties, and finally, how to tailor communication of those uncertainties.
DECISIVE ANALYTICS Corporation (DAC) is proud to announce that one of its employee-owners, Peter David, has had a paper accepted into the Scientific Document Analysis (SCIDOCA) workshop at the JSAI International Symposia on Artificial Intelligence (AI) held at the Hiyoshi Campus of Keio University in Yokohama, Kanagawa, Japan. Held on November 12th and 13th, the SCIDOCA workshop’s goal is to discuss technologies that can be used for analysis of scientific and technical documents.
ACC-APG has awarded DAC a prime contract on the multiple award IDIQ vehicle to support the RS3 program. Task orders will provide support services to a diverse group of organizations with programs with C4ISR related requirements.
The Office of Naval Research has awarded DAC's Analytic Technologies - Machine Learning Division with an exciting SBIR Phase I contract to develop the Computer Learning Obfuscating Adversarial Kit (CLOAK) system
The Air Force has awarded DAC a $3.3M contract to provide technical support to HQ USAF A2 ISR CIO. Team DAC, in conjunction with our teammate SAIC, will support underlying IT systems that process and store ISR data.
The National Geospatial-Intelligence Agency (NGA) has awarded DECISIVE ANALYTICS Corporation (DAC) a contract to implement cutting-edge semantic machine learning algorithms for the Advanced Geospatial Analytics program.
DECISIVE ANALYTICS Corporation (DAC) has been chosen by the U.S. Army to deploy advanced capabilities to non-kinetic electronic warfare environments. DAC will apply cutting-edge Natural Language Processing (NLP) techniques to ingest unstructured data and extract entities of interest, relationships between those entities, and their corresponding metadata. Under this effort, DAC will integrate its Machine Learning capabilities with the Army’s Analytics API to develop a flexible, multi-domain eco-system that brings together disparate information sources to provide a convergence of cyberspace and electronic warfare capabilities. The resulting visual eco-system will allow warfighters to efficiently identify threats and develop mitigation options without the time-consuming manual extraction and correlation of data.
DAC’s new cybersecurity assessment tool, DARE, ingests and aggregates cybersecurity descriptive data, interview data, and technical data to provide a more holistic understanding of an entire system's cyber posture. Using this information, DARE assimilates vulnerability assessments, mitigating factors, and RMF controls assessments into a single environment resulting in a sole risk assessment dashboard.