With technologies advancing every day, the Location Intelligence market is set to reap the benefits.
The Location Intelligence market is being driven not just by the growing demand from its users, but also by new advancements in digital technologies that ultimately enable it to offer better propositions to its current and potential customers.
Frontier technologies in the likes of AI, IoT and autonomous systems are already transforming Location Intelligence market with unparalleled data analytics capability and real-time insights. Further advancements to these technologies are expected to take Location market to greater heights.
Also Read: Real estate industry harnessing the power of location intelligence
These 4 emerging technologies will drive further adoption of Location Analytics in diverse industries:
5G: The arrival of 5G will enhance various location application of AI, IoT and autonomous systems. The ground-breaking processing speed will facilitate accurate real-time data analytics through connected sensor devices. And at the back end, since 5G will require denser network infrastructure, this will contribute to increased data volume that can help machines to learn faster and produce more precise results.
Z-axis: In July 2020, the United States’ Federal Communications Commission (FCC) has made it compulsory for mobile network operators to include vertical location information for every 911 calls made via wireless network. Also known as Z-axis information, it provides the location of the caller at floor level (or altitude) so first responders can locate exact position of the emergency in multi-story buildings. This enhancement will also benefit businesses. For example, location of consumers in multi-story malls or mixed occupancy buildings can be identified for more accurate geo-targeted advertising.
Computer Vision: As the world becomes more digital, there are arrays of cameras being deployed both indoors and outdoors for various purposes. These cameras are generating images continuously. Computers can be trained to interpret these images in real time using Deep Learning. This so called ‘Computer Vision’ capability allows machines to accurately identify and classify objects, and further programmed to react accordingly to what they “see”. Computer Vision is largely used for autonomous driving, but has expanded to retail, out-of-home advertising, healthcare and others. During the peak of Coronavirus mitigation, Computer Vision was deployed for safe-distancing measures, tracking people flouting quarantine orders, and to identify people without masks in public places.
Robotics: As consumers become more inclined towards contactless services, businesses are turning to robots as a solution. Although many are still in pilot phases, robot foods and packages delivery is gaining tractions, especially when trialed by big tech businesses like Amazon and Domino’s. For industries that require many workers at one place such as construction sites, factories and warehouses, using robots is a matter of safety measures and employees protection. Precise location data is fundamental to the operation of these robots.
Also Read: The value of location intelligence for retailers
Symposium on Location & Business Intelligence at GWF 2021
Geospatial World Forum 2021 shall host a two-day program on Location & Business Intelligence, as a platform for location professionals and technology experts to interact and share Location Intelligence use cases in various high-impact business sectors such as Retail, Real Estate, Logistics, Advertising and others.
Topics to be covered:
- Location-Based Marketing & Advertising in the New Normal
- Advanced Analytics in e-Commerce Enhancing Digital Customer Experience
- Location Technology Driving Innovative Shared Economy Business Models
- Real-Time Location Intelligence for Efficient Logistics & Supply Chain Operations
- Mobility Data Generating Retail and Real Estate Insights
- Ethics & Privacy Issues: Way Forward for Location Data Providers
Registrations of interest to speak at the event are now open and should be submitted online before 30 June 2021.
