Artificial Intelligence: Ports Are Beginning To Take Up Positions
Artificial intelligence (AI) is an affordable technology, although it is only slowly being introduced into the business sector. Thus far, it has primarily been used to improve sales prediction techniques, but its potential applications are infinite and include lowering maintenance costs, improving product quality, planning manufacturing and increasing service level. In the sphere of transport, AI opens up a host of possibilities. Will the ports take advantage of them?
How does deep learning work?Deep learning and neural networks are two of the machine-learning methods which have come to the fore the most in recent years. They are inspired by the way neural networks work in the brain. They transform the entry values, layer by layer, until the value of the variables that they are trying to predict is found. Even though the results of neural networks are quite satisfactory, they need vast amounts of data to learn, and learning times are long (days or even weeks). Natural language processing, image pattern recognition and voice processing are the main success stories of deep learning. Thus, the evolution of data collection and management has to include the following levels: recording, analysing, simulating, predicting and finally recommending. Based on that, new-generation ports are expected to apply predictive and prescriptive analysis techniques as tools to support decision-making when planning the transport of the actors in the port-logistics chain. And this does not only include lorries, since the same transport logistics that it applied on motorways can also be applied to any means of transport (railway, maritime or river).
Ports that already have advanced systems that allow them to gather a significant amount of data will be the best poised to successfully incorporate the tools offered by artificial intelligence