Anaeko Blog

Lucy Martin


Recent Posts

Understanding the Interface between the Human and the Machine

May 8, 2019 12:00:00 PM / by Lucy Martin posted in Machine learning, Data science, Data Visualization

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. A report from inside BIGDATA read 'If Data is the New Oil, we're about to be busy'. It says that when enterprise execs and AI experts say data is the new oil, they mean its fuel for our information economy; the single largest driver of innovation.

Read More

Anaeko are now a Proud Supporter of Young Enterprise Northern Ireland

Apr 30, 2019 12:00:00 PM / by Lucy Martin posted in young enterprise, Northern Ireland

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.

Read More

Should we have a Kaggle alternative for Government?

Apr 18, 2019 11:45:00 AM / by Lucy Martin posted in Public Sector, Government, Machine learning, DOS3, Data science

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. 

Read More

Machine Learning; a Fundamental Introduction

Apr 11, 2019 12:00:00 PM / by Lucy Martin posted in Machine learning, Artificial Intelligence

The term 'machine learning' is everywhere; in the media, education and local businesses. The whole field of machine learning can seem pretty overwhelming but you'll be surprised at how much we're surrounded by it.

Read More

The Application of Artificial Neural Networks in Government

Apr 3, 2019 12:01:00 PM / by Lucy Martin posted in Automation, Data science, neural networks, Data classification

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. Neural networks can fall into a range of categories, this blog will focus on classification.

Read More

2019 - The Year of Data Governance and Trust

Mar 27, 2019 12:08:10 PM / by Lucy Martin posted in Data Analytics, Data governance, Big Data, data discovery, Data science

 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. 

Read More

The War on Plastic - Is Data the solution?

Mar 20, 2019 12:08:00 PM / by Lucy Martin posted in Government, Machine learning, Artificial Intelligence, Big Data, Plastic, Environment

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). 

Read More

What we can learn from the failed Government ID scheme; Verify

Mar 6, 2019 1:01:00 PM / by Lucy Martin posted in Public Sector, Big Data, Private Sector, data discovery, security

It was announced this week that the Gov.UK Verify had fallen short of its target of 25 million users by 2020, only securing 3.6 million so far. With a current spend of £154m on Verify, the government is due to stop funding it from April 2020, handing operations over to the private sector. So what is Verify and how did it fail?

Read More

The Two Main Problems of Artificial Intelligence In Healthcare

Feb 27, 2019 11:30:00 AM / by Lucy Martin posted in Public Sector, Machine learning, Artificial Intelligence, Private Sector, 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?

Read More

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

Feb 20, 2019 12:20:00 PM / by Lucy Martin posted in Government, Machine learning, Predictive analytics, robotic process automation, Big Data, Automation

The fourth industrial revolution is about the acceleration of technology and digitisation. More and more companies are becoming equipped with the technology to make their job easier. Within the Government departments, the Met Police have introduced predictive policing and facial technology to tackle crime. HMRC have introduced a self-assessment platform for tax online, so instead of the long queues on the phone you can do it solo. The Department of Work and Pensions introduced an auto-enrolment scheme where citizens are automatically included unless they opt out. None of these above examples would've been possible without the innovation and technological advancement of the 21st century.

Read More