Earth Imaging Journal: Remote Sensing, Satellite Images, Satellite Imagery
Breaking News
Report Forecasts $4.5 Billion in Cumulative Revenues from In-Orbit Satellite Services by 2028
Although growth is anticipated across all applications in all...
Polaris Wireless Launches 3D Location Platform for Application Developers
Mountain View, California – Polaris Wireless, a provider of software-based...
IQGeo launches new products to reduce customer churn and accelerate construction for Communication Service Providers
Cambridge, UK – IQGeo (AIM:IQG), the world’s leading provider...
Maxoptra Launches New iOS Driver App for Real-Time Delivery Control
London – Maxoptra has announced a new smart phone...
Eos Positioning Systems Receives 2019 Esri Partner Conference Award for Improving Field Location within Esri Mobile Apps
MONTREAL, Canada —Eos Positioning Systems, Inc.® (Eos), the pioneering...

March 6, 2019
GeoSpock Strikes Commercial Partnership with Smart Cambridge to Further Smart City Ambitions

GeoSpock® – the extreme-scale spatial big data company that provides analytics, builds insight, and enables predictions across space and time – today announced its commercial alliance with the Greater Cambridge Partnership, the first public sector organisation to sign up to its G-Cloud initiative.

The initiative will see the Smart Cambridge team utilise GeoSpock’s spatial big data platform – which processes data at speed and scale, generating spatial and temporal insights – to develop a data-first smart city strategy. The initiative will democratise data from physical assets to enable better decision making by providing greater contextual understanding and delivering a single origin of data truth.

This will support the work of the Greater Cambridge Partnership and bring tangible benefits to the lives of residents, businesses and visitors, including improvements to traffic flow and citizen mobility, as well as to environmental initiatives and the future planning of the city.

By unlocking siloed data within the region, GeoSpock will provide a common data transformation Platform as a Service, run on Amazon AWS Cloud, on which Smart Cambridge can share information for the benefit of staff and third-party organisations working on urban innovation projects.

This will enable local councils to better plan for the future development of new homes and businesses, as well as for public utilities and infrastructure, such as electric charging points, smart roads, autonomous bus routes, and smart energy networks. Predictive analysis and real-time management of people’s needs will also allow councils to plan resourcing ahead of time and improve sustainability.

Richard Baker, CEO of GeoSpock, comments: “Cambridge is one of the leading and most progressive smart cities in the UK, and we’re thrilled to be embarking on this partnership to showcase how GeoSpock’s technology can develop the city’s future smart ecosystem. We are passionate about delivering better contextual understanding to enable more informed decisions for the benefit of the citizens, visitors, and businesses of the region – particularly as the area is also home to GeoSpock’s headquarters.”

Claire Ruskin, Executive Board Member for the Greater Cambridge Partnership, and CEO of Cambridge Network, comments: “GeoSpock’s spatial big data platform is extremely impressive and I’m eager to see the successes we can achieve together.This is an exciting new relationship for the Greater Cambridge Partnership that will provide a digital platform to support the transport infrastructure investments taking place in our region. By bringing together data that is currently locked in separate silos, Smart Cambridge will be able to input into decisions that enhance people’s access between homes and daily destinations, optimise traffic flow, and reduce CO2 emissions.”

GeoSpock aims to become the de facto processing engine at the heart of next-generation infrastructure, including smart cities and the Internet of Everything (IoE), as well as powering future mobility applications, including the management of autonomous vehicle fleets. The company’s revolutionary data engine analyses extreme amounts of contextual data in sub-second response time.

Comments are closed.