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Signs indicating the need for Machine Learning in a project

In previous blog posts, we’ve learnt about Artificial Intelligence, Computer Vision, Machine Learning and, more specifically, Deep Learning. In this article, we’re going to look at one of the main signs indicating that a project requires the use of Machine Learning. Business logic based on excessive rules and/or conditions One of the main symptoms of […]

Training Artificial Neural Networks – Part II

The boom in recent years of Machine Learning techniques in Artificial Intelligence prompted the brief introduction in our previous post to artificial neural networks and how to train them to obtain valuable information. In this post, we will analyse in a little more detail what is actually involved in training these types of networks. Backpropagation […]

Artificial Neural Networks: What they are and how they’re trained – Part I

In our earlier blog post about Machine Learning, we touched upon neural networks. In this post, we will explain what a neural network is and how it works. Artificial neural networks are based on how networks of biological neurons work. The neurons that we all have in our brains are made up of dendrites, the […]

Lean Change Management: The key to managing change in your organisation

In our previous post, we described how to learn to manage change in our transformation towards DevOps. That first article focused on describing the Satir and Kotter change models and sought to explain the different steps that change processes go through. In this post, we are going to discuss how to effectively implement specific changes […]

Change management applied to DevOps: a recipe for success

Over the course of previous blog posts, we have looked at the different steps and strategies we can follow to implement a DevOps approach in our organisation. We need to keep in mind that the change required within the organisation to implement DevOps is quite substantial and by no means easy. Apart from the technical […]

Computer Vision and Image Processing

Have you ever wondered how it is possible to perform automated processing on an image to draw a complex conclusion of such magnitude as to be able to detect the presence of an object? As living beings with the ability to see, we have biological sensors that allow us to receive sequences of images from […]

What is Machine Learning?

Machine Learning is a sub-branch of Artificial Intelligence that aims to solve problems without the need to explicitly program the algorithm that solves them. To do this successfully, data is needed for the system to be able to infer patterns. The concept of Machine Learning is greatly influenced by the ability of human beings to […]

The Role of Artificial Intelligence Today

Artificial Intelligence (AI) is probably one of the fastest growing branches of computer science today. Despite emerging in its own right more than 70 years ago, AI is currently generating the greatest interest in its history because of the revolution it is bringing about in today’s market. For this reason, and because Artificial Intelligence is […]

Atlassian Data Center – is it right for your organisation?

Many of Atlassian’s products are offered not only in Server (On Premise) and Cloud (provided by Atlassian) deployment options but also in a Data Center version. This last deployment model was, until recently, relatively unknown to users of Atlassian products. However, in the wake of Atlassian’s recent price increase, many customers have approached Xeridia to […]

Implementing a Deployment Pipeline in DevOps (in a way no one has explained before)- Part I

Throughout our previous posts, we have been moving forward in our organisation’s transformation to DevOps. We have learnt how to develop the Value Stream Map for our value delivery process, and we have looked at different methodological tools to help us manage our process, including Lean Thinking and the Theory of Constraints. In addition, we […]

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