Digitization is changing business-customer interactions, companies are focused on how to deliver seamless, uniform experiences to their customers, when and where they demand. The digitally savvy customers are now getting what they want, almost instantly. They are app natives, always connected and highly aware on how technology can empower them to fulfill their needs. Digital technology is transforming customer habits and the opportunities to align the real and the digital world has emerged significantly. To continually evolve, companies should identify data patterns and relationships and underpin the actionable value of data for better comprehension.
The data also involves location information or geospatial data which is increasingly becoming a source of value creation. Geospatial is the intersection of real and digital world; hence the quality of data is more critical, since it has contextual information. Be it personalized ad recommendations, schedule reliability, managing wait and travel times, fleet optimization, delivery reliability, or an augmented reality experience, geospatial data has brought up the importance of location and localization. Geospatial technologies are facilitating high-end locational intelligence along with IoT, Big Data and AI to build smart, inclusive customer communities and transform the way we live and work.
Localization – the new technology trend
Location and localization (the process of making services suitable for an area, region, etc.) are the key trends that will transform human life and movement in the coming years. GPS, digital maps, and satellite imagery has completely changed the paradigm of how we locate ourselves in the real world. GPS has so far leveraged 2D space locations for mobiles, vehicles, etc. Now, localization has emerged as the new technology trend which can determine 3D spatial positioning to enable autonomous movement of objects like cars, drones, robots, farm equipment, etc.
Geospatial technologies are leveraging the power of IoT and analytics to provide real-time insights for managing basic amenities such as power and streamlining postal operations. Location data combined with market intelligence, demographics, and operational data can be used to build marketing networks, create telecom infrastructure, or schedule healthcare visits in smart cities. The big picture of Geospatial contains digital content, services and applications with location as the core, also including data and intelligence to provide insights. It also helps us understand real-world behaviors, exploring new frontiers – be it drone development or building smarter cities.
Integrating geospatial for competitive advantage
CSS CORP offers location and localization solutions ranging from data sourcing, processing, curation, validation and management to customized applications for analytics, integration, and visualization.
We realize that geospatial data and technology has enabled and exemplified a new wave of value creation and we are making the right moves by integrating geospatial with our award-winning machine learning capabilities to create a significant competitive advantage.
We have differentiated expertise and offer industry-specific geospatial solutions. These include telecom, utilities and navigation data enablement services. For telecom sector, we offer network design services leveraging 3D line of sight and penetration analysis for RF and wireless networks, complete fiber management systems with the right-of-way, assets, and geo-tagging of assets, analytical solutions that allow you to target your network investments toward the highest-growth areas.
In the utilities domain, we implement geospatial + IoT sensors to monitor the performance of infrastructure such as electric, water, sewer, or gas lines, prevention of excavation damage by enabling easy access to information about buried utilities, Infer high velocity data streams and perform real-time integration with geospatial information to generate insights, analyze, visualize, and monitor multi-dimensional, layered data sets comprising of land features, networks and assets and high velocity sensor data streams. Navigation data enablement include data acquisition from photography or LiDAR, 2d and 3d data processing and curation services, ML-based conflation and accuracy improvement & AI enabled automated verification.
