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Many companies in the shipping industry have already started their digital journey by automating data collection from their vessels. This connected mode of operations introduces a new level of transparency to onboard operations, but also has a downside - namely the ever-increasing amounts of information produced that is far beyond the capacity of any single person to process.
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Fully autonomous operation means that data collection, analysis, and decision-making and implementation are all automated and driven by artificial intelligence. The level of autonomy granted is going to be the key variable as we move towards this goal, but essentially autonomous operations change the human role from active operator to supervisor.
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AIS data can provide vessel owners/operators with a cost-effective way of tracking their fleet, planning and optimizing their voyages and improving the transparency of noon reports. For organizations in the Traditional phase, exploiting the possibilities presented by AIS data can be a risk-managed and cost-effective first step in the digital journey. 
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By outsourcing the data processing and analysis to an analytics company using digital twins, you can concentrate on putting the insights they provide into practice. Understanding the lifecycle of a digital twin will help you defining the capabilities you require from an analytics company.
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By presenting possible near-future scenarios like upcoming bad weather, a sudden decrease in engine efficiency, or a more fuel-efficient route, predictive analytics means your key personnel can make more informed decisions to improve safety and efficiency. However, the best information is of little use if it is not viewed by the right people at the right time.
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