Systems | Development | Analytics | API | Testing

Yes, Qlik Has Changed - And That's Exactly the Point

I recently saw a post on LinkedIn that said, “Qlik isn’t the same company it was in 2016.” I’m pretty sure that it wasn’t meant as a compliment. But here’s the thing: they’re right. And that’s a good thing. Because if we were the same company we were in 2016, we wouldn’t be prepared for the challenges businesses are facing today. The world of data and AI has changed. Businesses have changed. So, of course, Qlik has changed too.

Federated API Management: Balancing Speed and Control

As the need for speed in business can seemingly be at odds with the need for control, organizations developing APIs today face a critical challenge: how can you empower developers to build and deploy APIs quickly while maintaining enterprise-wide governance and security? More traditional API deployment approaches are often to blame for why API initiatives fail to deliver the promised benefits as complexity and scale increase.

Tenstorrent Cloud Instances: Unveiling Next-Gen AI Accelerators

Today, we’re thrilled to announce the world premiere availability of Tenstorrent Instances via the Koyeb Serverless Platform. You can now access the Wormhole multi-chip solution in minutes to bring up and test frontiers of model inference performance. You've probably heard us say this: we're committed to bringing alternative accelerators to market to foster innovation in the AI infrastructure space.

Is AI's Evolution Making a Positive Impact?

Are we really in the “future of AI,” or are we just learning how to coexist with it? On this episode of Test Case Scenario, we explore: Why critical thinking and clear expectations make AI a tool, not a threat. How understanding its strengths—and its limits—keeps it a net positive. The gradual evolution of AI’s role in productivity, creativity, and problem-solving. The key to success? Making AI work for what it does best.

The How and Why of Data Cleansing

Data cleansing is the process of identifying and correcting errors, inconsistencies, and inaccuracies in a dataset to ensure its quality, accuracy, and reliability. This process is crucial for businesses that rely on data-driven decision-making, as poor data quality can lead to costly mistakes and inefficiencies. By cleansing data (removing duplicates, correcting inaccuracies, and filling in missing information), organizations can improve operational efficiency and make more informed decisions.

How to automate SAP data and quickly see savings

Loading data quickly and efficiently to and from SAP is a challenge for most businesses. Whether you are an IT manager, a business user, or an SAP expert, getting data into SAP can often be a time-consuming task standing in the way of more strategic projects. Hours are devoted to entering, correcting, and managing data uploads. There are a few ways to speed up the process and streamline data management, but there’s one that will empower your internal teams while saving time and money right away.

Empowering Growth Through Training and Enablement

Throughout my career, I’ve had the privilege of working across the full spectrum of enablement: internal enablement, partner enablement and customer enablement. Each of these domains brings unique challenges, audiences and approaches, but a common thread unites them all: the goal of fostering growth. At its core, training and enablement are not just about imparting knowledge or improving skills. While these are vital components, the true purpose transcends the transactional.