In today’s data-driven world, organizations are increasingly turning to data products to gain actionable insights, improve decision making, and fuel innovation. Data products — productized datasets, metadata, and domain logic — are designed to democratize data access and make it easier for teams to maximize their data’s value without requiring deep technical expertise.

Tech headlines over the past week have been dominated by DeepSeek AI, which recently launched its groundbreaking R1 model. What’s most remarkable? The reported development cost—just under $6 million. This announcement challenges the long-held belief that creating advanced AI models requires astronomical investment, shaking the foundation of the tech industry and causing a ripple effect on global markets.

We are sprinkling a little Mary Poppins magic directly into Qlik Cloud Analytics with the introduction of Data Flow, our new no-code data prep designer. Imagine your data as a chaotic nursery, with spreadsheets strewn about like toys and insights hiding under the metaphorical bed. Enter Data Flow—your very own magical briefcase for the digital age. With a snap of YOUR fingers (or rather, a click of your mouse), it transforms your data disarray into a perfectly organized analytics wonderland.

Every year, January 28th marks International Data Privacy Day. This day is a timely reminder of the importance of safeguarding data and enabling trust. Even more so now we live in a world increasingly dominated by AI systems. For AI models to be accurate, they must be trained on massive amounts of data. The last thing you want however is for that data to unnecessarily include sensitive personal and confidential business information.

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.