Maritime
How can coverage on busy maritime routes be improved and how can we solve the AIS data gap problem?
There is still a lot of potential left to explore in maritime data analytics. When considering AIS through machine learning contexts, the technology is showing promise for potential applications related to driving improved levels of fuel and vessel optimization. Furthermore, experts are consistently pursuing methods of combining AIS data with other collected data—particularly weather forecasts—to calculate and utilize information related to ship performance.
Marine weather forecasts layered with maritime data analytics deliver new ways to optimize vessels, payloads and emissions control.
AIS is showing promise for potential applications related to driving improved fuel consumption and vessel optimization.
Get the whitepaperHow can coverage on busy maritime routes be improved and how can we solve the AIS data gap problem?
Learn more about the digital revolution and its ongoing impact on how to manage vessels and plan better routes.
An overview of AIS technology, including expert opinions and research supported facts as well as potential improvements and future integrations.