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Archive for the ‘Moasis’ Category

Skylogic’s 2018 Drone Market Sector Summary Report Offers Timely Research and Analytics on the Industry

Thursday, November 15th, 2018

Colin Snow of Skylogic, LLC, spoke with GISCafe Voice about the company’s 2018 Drone Market Sector Summary Report that was recently published. This is the third annual report published by the company.

2018 Drone Market Sector Report

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From the Exhibit Floor at GEOINT Symposium 2015

Wednesday, July 1st, 2015

The exhibits at GEOINT Symposium 2015 this past week in Washington D.C. reflected the direction the government is heading with regard to new products, technologies and services.

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The new government initiative of doing more with less has generated interest among a group of vendors in partnership with the Centralized Super Computer Facility (CSCF) program. Lockheed Martin, one of the vendors, has developed a Multilevel Secure ecosystem (MLS) using Red Hat Enterprise Linux 6.5+ for both single system image and for a cluster configuration. The focus of this system is to use MLS to enable data fusion and/or consolidate hardware systems rather than promote duplication.

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The companies partnering in this endeavor include Lockheed Martin (Multilevel Secure Ecosystem), Seagate (Multilevel Secure HPC Storage), Red Hat (Open source operating system), SGI (Secure high performance computing solutions), CRAY (multilevel security (MLS) capability), Bay Microsystems (global high-performance fabric extension), Mellanox ( 100 Gigabit per second scalable networking), 35ViON Years (MLS-Ecosystem for Mission Data), Altair (PBS Professional, – job scheduling and management) and new at the conference this year, Crunchy (open source Crunchy MLS PostgreSQL extends PostgreSQL with Multilevel Security support), and Splunk (universal machine data platform).

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GISCafe at GEOINT 2015

Monday, June 15th, 2015

Next week GISCafe will be flying to GEOINT 2015 Symposium held June 22-25 at the Walter E. Washington Convention Center in Washington, D.C.

Tradecraft (more…)

Special Blog Coverage of 3D Cities Coming in November!

Monday, October 20th, 2014

During the week of November 17th, GISCafe Voice will run a special feature blog on the topic, “3D Cities: Envisioning Communities of the Future.”

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Reaching the mobile user with Moasis

Wednesday, October 8th, 2014

Tim Garcia, vice president of Business Development and Emerging Markets for Moasis Global said in a recent article for GISCafe:

“The latest frontier is how to effectively reach the mobile user by leveraging the data based on a consumer’s geographic position. Utilizing profiles integrated within geo-location, brands, agencies and even small businesses are able to locate consumers within a specific area and target them with the marketing message that is most relevant.”

Moasis’s team combines marketing and the technologies disrupting today’s information ecosystem. They’ve developed a platform based on the fusion of location data and multi-screen delivery, with the flexibility to weather the ongoing change in digital media and local marketing.

Moasis Global created the Intelligent Location Engine marketing platform, which encompasses their GeoGrid technology. In July 2014, they announced a partnership with Esri to provide marketers with consumer segmentation data that classifies US neighborhoods into market segments based on socioeconomic and demographic factors. By integrating Esri’s Tapestry data into a location-based mobile marketing platform, marketers can optimize the performance of their mobile marketing campaigns and better pinpoint the best potential customers and prospects using Moasis.

The partnership facilitates marketers who want to measure the performance and appeal of their mobile marketing and optimize in real time, combine Moasis’ location marketing platform with Esri’s Tapestry data to help target the customers and prospects in a particular area. The platform allows marketers to create behavioral market segments by location and target lifestyle demographics as well as where such customers live, down to their local neighborhoods.

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