Today's consumers are more health-conscious than ever, leading many to turn to mobile apps to manage their health and well-being on the go. According to Insider Intelligence, over two-thirds of Americans have used a health-related app in the last year. As a result of this shift in behaviour, healthcare providers now have a unique opportunity to reach out to new audiences and form stronger relationships with their customers.

Digital transformation is accelerating rapidly, yet many businesses are still wondering how to proceed. For most, it will require a shift in thinking and operational activities. Succeeding in this transformation will require you to make critical choices surrounding more efficient workflows, data security, and profitability. One of the four pillars of digital transformation is IT uplift, which focuses on improving the IT infrastructure.

The pressure to deliver high-quality software faster than ever is a constant challenge in today's competitive environment. Traditional testing approaches that focus on late-stage defect detection often lead to costly rework and delays. To address this, Shift Left Testing has emerged as a proactive strategy that emphasizes integrating testing activities earlier in the Software Development Lifecycle (SDLC) as we discussed in our previous post about where testing currently was going in 2024.

Software applications often perform well during short-term testing but encounter issues during continuous use.

In modern software development, clear code documentation and commenting are not only just a part of good practices, but also they are essential for effective collaboration, maintainability, and scaling projects over time. However, they are often neglected due to time constraints or lack of clarity on how much detail is necessary. But, with the advent of artificial intelligence, developers now have tools to streamline this process, allowing them to focus on coding without compromising on clarity.

Today, cyber defenders face an unprecedented set of challenges as they work to secure and protect their organizations. In fact, according to the Identity Theft Resource Center (ITRC) Annual Data Breach Report, there were 2,365 cyber attacks in 2023 with more than 300 million victims, and a 72% increase in data breaches since 2021. The constant barrage of increasingly sophisticated cyberattacks has left many professionals feeling overwhelmed and burned out.

Enterprise organizations collect massive volumes of unstructured data, such as images, handwritten text, documents, and more. They also still capture much of this data through manual processes. The way to leverage this for business insight is to digitize that data. One of the biggest challenges with digitizing the output of these manual processes is transforming this unstructured data into something that can actually deliver actionable insights.

Over the years, CI/CD has become such an integral part of DevOps that it is difficult to think of one exclusive of the other. However, DevOps’ much broader set of utilities might often undermine the role and scope of CI/CD. The vast DevOps toolchain for configuration management, IaC, monitoring, security, and other such use cases confines the CI/CD strategies to mere code handling.

Today, cyber defenders face an unprecedented set of challenges as they work to secure and protect their organizations. In fact, according to the Identity Theft Resource Center (ITRC) Annual Data Breach Report, there were 2,365 cyber attacks in 2023 with more than 300 million victims, and a 72% increase in data breaches since 2021. The constant barrage of increasingly sophisticated cyberattacks has left many professionals feeling overwhelmed and burned out.

Diego Molina takes you step-by-step through how to get started with automated testing.