Systems | Development | Analytics | API | Testing

Gartner has once again named Qlik a Leader in the Magic Quadrant for Data Integration Tools, a position we have held for a decade. In that time, the landscape around data integration has shifted. Hyperscalers are moving up, large vendors are tightening their stacks, and acquisitions are reshaping customer choice. For CIOs and CDOs, that consolidation changes the question. It is less about who sits where in the quadrant, and more about how much control you still have over your own data and AI strategy.

Most AI analytics projects are failing to deliver on their promises, and the cause isn’t what you might expect. This creates widespread project failures and undermines confidence in AI-driven analytics. What are the problems with AI analytics and how can organizations address them?

When you embed traditional BI tools, you work with platforms originally designed for internal analysts who expect to explore data directly. Embedded capabilities came later, and while these tools expose APIs, every variation in experience requires development work. The challenge is that traditional BI tools aren’t built for the full spectrum of embedded use cases. Most embedded analytics implementations must serve several distinct user types inside your customers’ organizations.

CWE and CWE Top 25 secure coding practices help you safeguard your code against rising software security risks. Here we explain what is CWE and the CWE Top 25. Read along or jump ahead to the section that interests you the most.

The world of software testing isn’t slowing down anytime soon. Teams are releasing updates faster, systems are getting more complex, and users expect everything to “just work.” It’s a lot to juggle. The good news is that testing itself is evolving to meet those challenges. As we move into 2026, a few clear trends are starting to shape how QA teams think and operate. Here’s what’s on the horizon, and why it matters.

The Australian Prudential Regulation Authority (APRA) introduced the CPS 234 prudential standard to set a clear benchmark for cybersecurity resilience. Complying with CPS 234 is a key step for organisations to protect sensitive information and build trust. As businesses rely more on data-driven operations, protecting customers’ information — especially in non-production environments that are often overlooked — is more important than ever.

Blog Contents hide How many ads will users tolerate before you risk them deleting your app? Your retention strategy shouldn’t be one-size-fits-all. This data story will help for those times when you’ve struggled with churn and trying to grow your product’s usage We are using a music streaming app as an example, but this strategy can apply to any business. The goal of this story is to help you think critically with a data-driven perspective to inform your decision-making process.

"Too much information running through my brain." When The Police sang this opening line on their 1981 album Ghost in the Machine, they weren't thinking about artificial intelligence, but the sentiment perfectly captures the state of modern AI. The song warns of an overload of data that parallels how modern AI agents process extensive collections of messages and data.

I just finished building Speedscale’s eBPF-based component to capture and analyze network traffic in a Kubernetes cluster, and it forced me to confront some uncomfortable truths about observability. While there were certainly some challenges along the way, particularly in dealing with Go applications, the approach was relatively straightforward.

Software Development is progressing faster than ever, as software teams are now able to regularly release new features in cycles that often last a week to a day. As a result of this cycle, bug tracking and QA processes are sometimes not enough to prevent there from being bugs in place before a problem arises. When these bugs enter production, they cause a lot of frustration among users, downtime, and a large amount of time being spent trying to fix the problem which makes users angry.