Systems | Development | Analytics | API | Testing

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.

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.

This guide walks you through the steps to test Android mobile apps secured by Appdome using the Katalon cloud testing platform. Follow these instructions to verify that your application functions correctly under secured conditions without triggering unintended security protocols.

AI is only as good as the data it learns from. Without a strong data integrity foundation, AI models risk reinforcing biases, misinterpreting trends, and making flawed predictions — ultimately leading businesses down costly and damaging paths.

Animations make our apps seem more alive, approachable and interactive, and they add that extra level of polish, which is crucial in an age of ever-greater consumer choice. One of the great things about Swift is that it provides a range of animation functionality straight out of the box. In this post, we’ll explore some of this functionality and demonstrate some popular techniques for SwiftUI animations, so you can use them on your own projects.

Sales reps dedicate just two hours each day to active selling, according to HubSpot research. At Snowflake, our sales team found they were wasting 10 to 15 minutes searching for the right content every time they needed to answer a single question, like “Can you explain how Snowflake handles data integration from various sources?” Valuable content was scattered across different platforms, forcing employees to hop between various tools to assemble the right information.

New AI and Machine Learning (ML) solutions have become one of the most powerful tools in today’s technology stacks. These support the ability to process and analyze vast amounts of data to identify patterns and to make forecasting more reliable. AI has been driving innovation in healthcare, finance, and retail. Now, it's beginning to revolutionize the field of software engineering. This article shares some of our innovations in applying AI to software engineering processes.