{"id":2109,"date":"2021-02-10T19:14:27","date_gmt":"2021-02-10T18:14:27","guid":{"rendered":"https:\/\/www.eyard.io\/?p=2109"},"modified":"2021-02-10T19:50:41","modified_gmt":"2021-02-10T18:50:41","slug":"webinar-an-introduction-to-ai","status":"publish","type":"post","link":"http:\/\/uzsjonk.cluster030.hosting.ovh.net\/webinar-an-introduction-to-ai\/","title":{"rendered":"eYARD: An introduction to AI"},"content":{"rendered":"\n

As many of you might know, a couple of weeks ago we ran our first ever webinar; \u2018What is AI and what can it do for your terminal?<\/em><\/a>\u2019. This was an exciting opportunity to introduce eYARD to those who joined us in the session. However, as we appreciate that not everyone would have been able to join on the day, we did not want you to miss out on hearing about how this project can support you and so if this is something that intrigues you, read on –<\/p>\n\n\n\n

In conversation with Pablo Fernandez-Pe\u00f1a and Mike Dekker, we looked back at the way port terminal operations were handled in recent years and the positive impact the introduction of AI could have in this sector. We heard of cases in which AI is implemented to predict earthquakes or protect wildlife and deforestation. If we allowed machinery to also study our terminal processes; wouldn\u2019t we have the option of saving time from unproductive moves and reducing cost in doing so? And with that in mind, we learned AI is here to stay.<\/p>\n\n\n\n

93% of our attendees confirmed that – in their experience – terminal unproductive moves result in additional costs and so we thought it was important to explore how AI would be applied. eYARD would study two components; existing data and predictability regardless of the nature of the terminal. By using reinforcement learning algorithms, this technology considers all stacking possibilities based on the existing terminal layout and redefines transit to achieve KPI efficient results and optimal operational management.<\/p>\n\n\n\n

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