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.

Lineos reduces manual tasks and empowers finance teams to boost productivity and uncover hidden potential within their data RALEIGH, N.C. – Feb. 26, 2025 – insightsoftware, the most comprehensive provider of solutions for the Office of the CFO, today announced the launch of Lineos, a suite of AI-driven capabilities designed to enhance insightsoftware’s financial planning and analysis (FP&A), accounting, and operations products.

Generative AI has the potential to add up to $4.4 trillion annually to the global economy. But most organizations won’t see that value—not because of their models or infrastructure, but because of their data. Despite years of investment in data lakes, warehouses, and analytics tools, organizations are drowning in complexity. Data is scattered across siloed systems, riddled with duplication, and locked behind outdated batch processes.

Penetration testing is like a virtual security guard for your organization’s cybersecurity. It detects vulnerabilities before malicious attackers can exploit them. Traditionally, this process relied on skilled professionals manually probing systems for weak spots. However, with the rapid evolution of technology and the surge in cyber threats, the need for smarter, faster, and more adaptive testing methods has never been clearer.

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.

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.