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Insights

Challenges and Benefits of AI in Supply Chain and Logistics

21 Jun 2024 by Mike O'Boyle 4 minute read

Challenges in Supply Chain and Logistics

There are many challenges in the supply chain business, and depending on where you are in that supply chain, you each have your own set of challenges. However, there are primarily some top overriding ones: fuel and safety are right at the top of that list. For connected, but still different reasons, safety and the overall health of the workforce itself trumps absolutely everything.

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Why do you need a Deployment Strategy?

16 Feb 2024 by Emma Foster 4 minute read

Anaeko and our partner Octopus Deploy held an event in the iconic Hilton Hotel in Belfast, exploring the challenges from start-up to enterprise when implementing an effective deployment strategy. The event brought together many from the growing DevOps community across Ireland, with some executive team members and senior engineers also in the audience. 

We heard from Michéle Johl, IT Engineering Manager at Unily. Michéle explored how Unily went from a start-up solution to an enterprise-level SaaS platform using Octopus to deploy their platform for clients, with lessons learnt:

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How transport companies are utilising technology to achieve net zero

11 May 2023 by Tim Bassett 3 minute read

Transport companies are increasingly using technology to reduce their carbon footprint and move closer to net-zero emissions. These advancements are critical in the fight against climate change and in meeting the goals set out in the Paris Agreement. The Paris Agreement, often referred to as the Paris Accords or the Paris Climate Accords, is an international treaty on climate change. Adopted in 2015, the agreement covers climate change mitigation, adaptation, and finance.

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The Application of Artificial Neural Networks in Government

03 Apr 2019 by Anaeko 3 minute read

 

The term Artificial Neural Networks (ANN) refers to a set of algorithms that try to mimic the brain. It is constructed of an input layer, the data you input, a number of hidden layers, which help to group unlabelled data according to similarities, and then the output layer which is the hypothesis.

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Who bears the responsibility when jobs are lost as a result of automation?

20 Feb 2019 by Anaeko 3 minute read

 

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