25.10.2019

Sø- og transportret

Quarterly Update October 2019

Every week NJORD Law Firm’s Maritime and Transport Law Team publish short relevant news about Danish Maritime and Transport Law. This quarterly update summarises the key legal decisions and trends for the transport industry in the third quarter of 2019.

Read for example about INCOTERMS 2020 that were recently published or get an update on the mobility package. You can also read about two cases were the liable contracting carriers are dismissed because the counterparty cannot prove the loss sufficiently. Watch NJORD’s 3.0 NewTech video about who is liable if your robot lawnmower has cut off the neighbour’s foot.

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Latest news

NJORD Estonia: Four options to employ additional labour for the holidays

The holiday season is often accompanied by a shortage of own personnel. Due to an increase in shopping activity, additional labour must be hired, e.g. by shops and manufacturing companies. Based on the rules of working and rest time, the existing employees cannot perform the extra work related to the temporary increase in workload. There are four options to solve the situation.

NJORD Latvia: Money laundering cases and practice

According to the information provided by the Financial Intelligence Service (FID), 102 criminal cases involving money laundering were initiated in the first half of this year. Of these, 55% referred to autonomous money laundering offenses. As a consequence, the FID issued 159 freezing orders of €104.8 million of alleged proceeds. This sum already exceeds that of all of 2018, when assets totaling €101.5 million were frozen. By the end of this year, the FID has plans to freeze a further €200 million.

NJORD Estonia: The use of AI in dermatology and skincare

AI is believed to have great potential in the field of dermatology and skincare. Currently, different solutions are being developed in order to personalise skincare for people. For example, algorithms can be developed, which make use of computer vision and machine learning in order to help people find the right skincare treatments for them. There are two ways how AI is used for this. First, it is possible to develop computer and mobile applications, which analyse the skin of a person based on the person’s selfie. The application analyses, what the person’s skin type is and what kind of products or treatments the person should use.

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