| Name | Title | Contact Details |
|---|
Vistronix, Inc., a professional services company, provides information technology (IT) and managed services for federal, state, and local agencies; and commercial clients in the United States. It offers application development services; geospatial information systems solutions; and systems engineering services in the areas of enterprise architecture, independent verification and validation, and software security engineering. The company also offers IT service management solutions in the areas of customer relationship management–service desk, enterprise architecture and service strategy planning, systems development and management, database management and warehousing, and operations and maintenance support; and information management services. In addition, it offers a range of agency-specific and government wide indefinite delivery indefinite quantity contract vehicles for government customers. Vistronix, Inc. was founded in 1990 and is based in Reston, Virginia with additional offices in the United States.
Tracsis is a technology company that provides software, hardware, data analytics/GIS and services for the rail, traffic data and wider transport industries. They specialize in solving a range of data capture, reporting and resource optimization problem...
JMP links rich #statistics w/ #dataviz, in memory & on the desktop. #Dataanalysis tool for data explorers. On Mac & PC. #JMPDiscoverySummit Americas is coming!
Imagine what you can do when you know how much of your initiatives contributes to your outcomes. Causal Machine Learning (CML) algorithms recommend how you can innovate your practices to achieve greater business outcomes. CML Insight develops solutions that fulfill this vision. Our development teams are based in the US and Sri Lanka and our team members have years of experience in Machine Learning in general and Causal Machine Learning in particular. We work with clients in Higher Ed, Healthcare and Fintech. Our solutions are already proving the value of Causal Machine Learning in these domains.