How can IoT Facilitate a Better Geospatial Dynamic Positioning?
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How can IoT Facilitate a Better Geospatial Dynamic Positioning?

By Energy CIO Insights | Tuesday, June 18, 2019

Dynamic positioning IoT platforms can be used by government organizations to assess smart city initiatives and facilitate simplified navigation solutions.

FREMONT, CA: The rise of the internet of things (IoT), artificial intelligence (AI), machine learning (ML), and predictive analytics has ushered in a data-centered industrial revolution. The connected devices used to facilitate interaction between organizations and consumers have created vast troves of data. Also, a report by Gartner predicts the purchase of IoT devices at a rate of 1 million devices per hour by the year 2021.

The data revolution has prompted governments, organizations, and businesses to analyze the massive amounts of data and procure useful insights by leveraging AI, ML, and predictive analytics. The analytics can aid the governments in managing the finite resources available in the world. Many government organizations are collaborating with energy exploration companies to determine the viability of energy resources. The organizations can leverage analytics platforms to visualize the sensor data points around the earth. The collected data can be made accessible to geologists and data scientists. The higher density datasets allow a higher level of accuracy.

Several government organizations are experimenting with precision positioning systems to enable high accuracy positioning through their navigation satellite systems. The implementation of the positioning systems will empower city corporations with accurate dynamic positioning capabilities. Also, the reference stations designed to assist the positioning systems can rectify any variations in the satellite signals.

Dynamic positioning IoT platforms can be used by government organizations to assess smart city initiatives and facilitate simplified navigation solutions. Private organizations can utilize positioning technology for testing autonomous cars and drones. The analytics platforms can aid delivery organizations to enhance their business operations via its real-time visual data. It also enables dynamic visualization of geospatial data, including routes and delivery points, which can assist the dispatchers in planning their territory assignments.

The availability of optimal geospatial boundary information can enable efficient navigation in cities, reducing travel costs as well as traffic congestion. It can aid transport services to schedule and plan deliveries. Delivery organizations can leverage the analytics to make cost-effective business decisions, saving thousands, if not millions of dollars, while at the same time, ensuring consumer satisfaction. Efficient utilization of IoT data through analytics platforms can bring significant societal benefits and financial return of investment.

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