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Agile Project Management for Distributed Teams

26 May 2020 by Anaeko 3 minute read

At Anaeko, our core business has been built around our ability to access a pool of talented professionals who either work from their home offices or work as part of smaller teams in different geographical locations.  We have a proven track record in effectively managing these teams within a remote agile team framework.  

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6 Tips for Remote Daily Stand-Ups

21 Apr 2020 by Anaeko 2 minute read

As teams worldwide are fully immersed in remote working it is important to focus on team collaboration and business continuity. Stand-Ups are one of the most common Agile techniques to ensure delivery of sprints, communicate team members contributions or blockers, and contribute to team cohesion.

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Understanding the Interface between the Human and the Machine

08 May 2019 by Anaeko 2 minute read

 

Machine learning has transformed the 21st century with its ability to record and process massive amounts of data. It provides a way to automatically find patterns and reasons about data.

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Anaeko are now a Proud Supporter of Young Enterprise Northern Ireland

30 Apr 2019 by Anaeko 1 minute read

Young Enterprise Northern Ireland or YENI are a leading enterprise education charity in NI. This charity is committed to providing every young person with the opportunity to develop and explore entrepreneurial skills for the 21st century and prepare them for the modern economy.

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Should we have a Kaggle alternative for Government?

18 Apr 2019 by Anaeko 3 minute read

 

Kaggle is an online community of data scientists and machine learners, owned by Google LLC. It offers an environment where users can find and publish datasets, explore and build models in a web-based data-science environment, work with other data scientists and machine learning engineers, and enter competitors to solve data science challenges.

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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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2019 - The Year of Data Governance and Trust

27 Mar 2019 by Anaeko 3 minute read

 

 It's hard to go a day without hearing the word 'data'. We rely on data on a daily basis in all industries; media, education, technology, retail etc. We are all getting excited about the possibility of what data can do. We know the buzzwords; Analytics, Big Data, Data Visualisation and Data Science! But at the root of these buzzwords is the need for visible, authoritative, consistent data that we can rely on to gain insights to support missions and goals. 

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The War on Plastic - Is Data the solution?

20 Mar 2019 by Anaeko 3 minute read

 

It's hard to miss the images of plastic waste in the media, with some of the statistics and pictures being both frightening and sickening. In 2015, the annual production of plastics increased to nearly 381 million tonnes, this is roughly equivalent to the mass of two-thirds of the world population. From a study conducted in 2010, it was estimated that 8 million tonnes of plastic entered the oceans with roughly 10,000 to 100,000s tonnes of plastic in surface waters (Our World in Data). 

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The Two Main Problems of Artificial Intelligence In Healthcare

27 Feb 2019 by Anaeko 2 minute read

 

Artificial Intelligence In Healthcare

There are few (if any) industries that can be transformed by artificial intelligence to the degree that healthcare can. As initiatives around the world seek to digitize healthcare data, there are huge opportunities for game-changing tools and platforms. However, with potentially a yottabyte (1024 gigabytes) of healthcare data in the United States alone, we are no closer to this utopian, data-driven world of healthcare. Data in existence is not standardized, highly fragmented and is stored in incompatible legacy platforms. The technology exists, so why is healthcare so far behind other sectors in utilizing existing technology and what needs to be done to catch up?

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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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