C++ has long powered Tier 1 banks’ high-performance systems, but growing demands for agility, security, and modern integration make its modernization increasingly urgent.
Recent cyber-attacks on major retailers have highlighted for financial services firms the urgent need to modernize outdated systems and strengthen security to protect sensitive data.
Modernizing legacy systems is essential in today’s data-driven world. This article explores how AI-powered approaches help transform outdated platforms into agile, resilient, and scalable foundations that unlock innovation, reduce risk, and enable smarter data use.
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 [&...
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 large organisations with multiple teams building and maintaining software systems it’s not unusual to have disparate approaches. So how can you have a clear view of which systems are more vulnerable to attack, have critical bugs or which may cause outages? Read the white paper by Principal Consultant, Stephen Masters.
Since ChatGPT3 was launched to the public on 30 November 2022 it has been capturing the attention and imagination of a generation. But what value does it offer businesses? We look beyond the hype and with the help of Digiterre’s CTO Raj Jethwa, answer some of the burning questions about Gen AI.