AWAKE BLOG

12.04.2021

AI for Smart Ports, Part 2: Optimizing vessel schedule predictions using Machine Learning

In this post, we pick up from our previous look into the challenges inherent in current commonly available vessel schedule information. The aim in the following is to discuss how modern predictive analytics can help improve the quality of vessel scheduling data, which is significant for operational planning in maritime logistics. Furthermore, we hope to give the reader some flavor of how we approach such analytics at Awake.AI from a data science perspective.

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10 March 2021

Port Call Optimization: Two Sides of the same Coin

The article is written in cooperation with Hanane Becha, André Simha, Steen Erik Larsen, Eyal...

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07 December 2020

JUST IN TIME OPERATIONS (Part 1)

The industry news has been flooded with talks of digitalization, automation, efficiency, and...

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20 November 2020

GREENER FUTURE

We believe in long-term sustainability, and want to empower our people to make ethical and...

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06 November 2020

CASE: ENABLING SMART SHIPS TO MAKE PORT CALLS IN PORT OF ROTTERDAM

“Awake.AI and Port of Rotterdam have made the first steps together towards the autonomous...

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20 October 2020

SMART SECURITY BY AWAKE.AI

The core of our business is combining raw data and turning it into smart data for better...

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21 August 2020

“CULTURE OF COLLABORATION” AS THE FOUNDATION OF A TRUSTED AND SMART PORT ECOSYSTEM

Exchanging real-time data allows profits to be maximized and value to be added through improved...

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13 July 2020

The Digital Revolution in Maritime Logistics

On the 16th of June, Awake.AI launched Smart Port as a Service™ (SPaaS), an all-in-one solution...

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01 July 2020

AI for Smart Ports, Part 1: Limitations of Existing Data Sources for Port Call Prediction

Port call optimization may be realized in practice for example as more efficient planning of the...

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