Why staying on-premise holds businesses back Many industry experts believe companies that haven’t moved to the cloud are already falling behind. Cloud services are more secure, sustainable, agile, and cost-effective than…
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The 3 big technological challenges facing insurers in 2022
This report looks at the current situation in the insurance industry and the three innovations it needs to remain competitive.
Jira Service Management for a DevOps World
IT service management (ITSM) focuses on the coordination of people, processes and information technology to improve service and reduce costs.
Jira Work Management strengthens inter-team working
Simple and powerful. This is how Atlassian describes Jira Work Management, its new project management tool that promises to break down silos and streamline work across business teams. Jira Work Management – the next gene…
Key differentiators between Atlassian cloud and server
Atlassian cloud and server products both help teams achieve better collaboration and greater transparency, but it's important to recognize that they're built with different codebases, features, and benefits. We outlin…
Using BDD in DevOps environments
What is BDD? Use of a Common Language A Meeting of Three Friends Application Development and Scenario Automation Definition of Done Integration into the Deployment Pipeline Over the last few blog posts, we’ve discussed t…
Jira Service Management: Atlassian’s ITSM solution for agile teams replaces Jira Service Desk
As part of its strategy to improve its products and solutions for customers and be able to respond quickly to changes in the market, Atlassian has announced the launch of Jira Service Management, the ITSM solution that e…
Benefits of Test-Driven Development in DevOps Environments
The traditional model is not conducive to writing unit tests Test Driven Development helps us avoid these problems Whats is Test-Driven Development (TDD)? Using the Ping Pong Pair Programming technique What does this hav…
Data Transformation in Artificial Intelligence
In our previous blog post, we discussed the importance of data cleansing and pre-processing for making sure that our machine learning methods work correctly. After applying all the necessary cleansing tools, we end up wi…
The Importance of Testing in DevOps
In our previous blog posts, we’ve explained what the DevOps concept is and the foundations for implementing a value delivery deployment pipeline. In this post, I want to focus on one key factor that makes all of this wor…
The Importance of Data Preprocessing in Artificial Intelligence: Data Cleansing
In recent years, the amount of data being generated has increased considerably. Today, in just one second, almost 9,000 tweets are posted, more than 900 photos are uploaded to Instagram, more than 80,000 Google searches…
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…
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