We use cookies to enhance your browsing experience, serve personalized ads or content, and analyze our traffic. By clicking "Accept All", you consent to our use of cookies.
Customize Consent Preferences
We use cookies to help you navigate efficiently and perform certain functions. You will find detailed information about all cookies under each consent category below.
The cookies that are categorized as "Necessary" are stored on your browser as they are essential for enabling the basic functionalities of the site. ...
Always Active
Necessary cookies are required to enable the basic features of this site, such as providing secure log-in or adjusting your consent preferences. These cookies do not store any personally identifiable data.
No cookies to display.
Functional cookies help perform certain functionalities like sharing the content of the website on social media platforms, collecting feedback, and other third-party features.
No cookies to display.
Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics such as the number of visitors, bounce rate, traffic source, etc.
No cookies to display.
Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.
No cookies to display.
Advertisement cookies are used to provide visitors with customized advertisements based on the pages you visited previously and to analyze the effectiveness of the ad campaigns.
No cookies to display.
Insights
Gain insights into technology, our specialist market sectors and our people.
Find our latest news and events here too.
AI-driven predictive maintenance is transforming software system reliability by proactively identifying potential issues. This article explores how Dynatrace and New Relic are leveraging AI to enhance predictive maintenance in software systems.
Continuous Integration and Continuous Deployment (CI/CD) are critical practices in modern software development, ensuring rapid and reliable delivery of applications. AI-powered tools are now enhancing these processes by automating tasks, identifying issues early, and providing intelligent insights. This article delves into how GitLab Duo and Harness are leveraging AI to optimize CI/CD workflows, ...
Software testing is a critical component of the Software Development Life Cycle (SDLC), ensuring that applications function correctly and meet user expectations. Traditionally, testing has been time-consuming and prone to human error. However, AI-powered tools are now revolutionizing this phase by automating testing processes, improving precision, and reducing time to market. This article examines three [&...
In the fast-paced world of software development, productivity and efficiency are paramount. AI assistants are increasingly being integrated into development environments to assist coders by automating repetitive tasks, providing intelligent code suggestions, and minimizing errors. This article examines three leading AI coding assistants—GitHub Copilot, Tabnine, and IntelliJ Assistant—and how they are boosting developer ...
Software design is a pivotal phase in the Software Development Life Cycle (SDLC), where conceptual frameworks are translated into detailed blueprints for development. Traditionally, this phase requires extensive manual effort and expertise. However, the integration of AI technologies is now reshaping the design process, offering tools that enhance accuracy, automate repetitive tasks, and inspire innovation. [&...
Requirements gathering and analysis is a critical phase in the Software Development Life Cycle (SDLC), setting the foundation for successful project execution. Traditionally, this phase has been labor-intensive and prone to human error. However, the advent of AI-powered tools has brought significant improvements, automating processes, enhancing collaboration, and providing deeper insights. This article delves into [&...
Now that the dust has settled in the event spaces of the Hilton London Metropole and the final crumbs of bacon brioche swept from the swirling carpets, it’s time to take stock and reflect on this year’s Energy Trading Week. Energy Trading Week Europe 2024 was held in London from 24-25 September, and ...
Thank you for speaking with us today, Calvin. As an Associate Consultant can you tell us a little bit about your role at Digiterre. I am an Associate Consultant at Digiterre primarily working as a Python and Azure cloud developer. I currently work with the team to move older pipelines to Microsoft Azure cloud infrastructure. [&...
I’m delighted to share the news of our upcoming launch in Houston on June 4th, 2024, marking a pivotal moment for Digiterre as we extend our reach into the bustling heart of the energy and commodities trading landscape. This expansion is not just about opening another office though—it’s about forging new connections, fostering ...
In an era where business agility and technical resilience are more crucial than ever, organizations are increasingly embracing cloud migration as a strategic driver. This journey not only offers enhanced scalability, security, and cost efficiency but also propels businesses towards a future-proof infrastructure. Whether transitioning from on-premises to cloud, switching between cloud providers, or moving [&...
In 2023, GenAI burst into life amid speculation about its use. Despite the hype, firms quietly explored practical applications and assessed the potential benefits, risks, and challenges, especially in highly regulated environments. ‘AI Theory to Reality – FS Tech Leaders’ In this episode, we spoke with Simon Rohrer, Head of Enterprise Technology Architecture and Ways […]
Hi Marius, can you tell us about your role at Digiterre and how you work with the team. I am a Principal Software Consultant helping energy trading companies to build better software solutions. The Digiterre team is usually involved in a project from a discovery to delivery phases. I love to be part ...