Systems | Development | Analytics | API | Testing

In the current data intensive world we live in many customers deal with heavy volumes of data that reside in databases and streaming systems. There are many ways to move data from one cloud platform to another, but for efficient migration, ease of use/development, and near zero downtime, a tool that does continuous near real-time data movement and CDC (change data capture) is needed.

As we head into 2025, Qlik is taking a significant step forward in the evolution of our go-to-market approach by placing an even greater emphasis on our partnerships. This move is aimed at capturing the growing market opportunity in data integration, data quality, analytics and AI.

On behalf of Qlik, I’m excited to share some thoughts about our acquisition of Upsolver and how it opens up new possibilities for our customers, helping them achieve their goals in ways previously out of reach. First thing to say is how we’ve been deeply impressed by Ori and the Upsolver team’s relentless focus on innovation and solving customer’s problems. We met over a year ago when our respective teams were looking at ways our technology could jointly work together.

Business leaders today face a critical challenge: How do you move from analyzing what happened to confidently predicting and shaping what comes next? Throughout 2024, we've enhanced Qlik Cloud's predictive AI capabilities to help organizations bridge this gap, enabling them to predict future outcomes, understand key drivers, and take informed action.

As we mark Climate Week, Qlik reaffirms its dedication to sustainability—both in our own operations and in empowering organizations worldwide to tackle society’s most pressing challenges. The below text is taken from our most recent Impact Report which you can find on our website here. At Qlik, we are dedicated to operating a sustainable business while helping organizations and partners across the globe tackle their and society’s biggest challenges with data.

Artificial Intelligence (AI) is transforming industries, enhancing decision-making processes, and creating new opportunities across various domains. However, selecting the right type of AI for your specific needs can be challenging. Broadly, AI can be categorized into predictive (sometimes known as discriminative or traditional) AI and generative AI, each serving different purposes.

In the business world, gaining the “unfair advantage” often seems like a strike of great luck and timing (think Zoom and the pandemic). But in reality, it’s often the result of deliberate strategies and actions (in Zoom’s case, delivering a superior user experience). One great strategy: getting the unfair advantage through a best-in-class technology ecosystem.

In today's data-driven business landscape, the ability to predict trends, explain drivers, and act on insights is no longer a luxury—it's a necessity. Yet for many organizations, the path from data to predictive intelligence remains challenging. Data science resources are scarce, and traditional tools often require specialized expertise that most analytics teams lack. At Qlik, we believe that the power of predictive analytics should be accessible to all.

A little-known fact about me is my love for scuba diving. There’s nothing quite like the feeling of being so close to nature, exploring the mysteries of the underwater world. Every chance I get, I dive into the ocean’s depths, uncovering hidden wonders that most people never get to see. That got me thinking about the similarities between data and the ocean. Just like the vast, uncharted waters of the sea, the world of data holds incredible potential—if you know how to navigate it.

In today’s rapidly evolving tech landscape, it's tempting for businesses to chase after the latest trends—Artificial Intelligence (AI) being the crown jewel of them all. However, unless you're an AI and data analytics provider, focusing solely on AI might be a misstep.