Olof Malmström has read the report and shares his thoughts

Learn Why Qlik Talend Stands Out
Can You Trust Your Data for AI and BI? How can you be confident in the accuracy of your insights or predictions if you can’t trust your data? In any process, garbage in, garbage out is a reality.

So, how can you be sure? This is where a robust Data Quality System, like Qlik Talend, comes in. It enhances your data quality processes and provides you with a Trust Score, ensuring your data is reliable and ready for use in AI and BI applications.

The Future of Data Quality in AI & BI
Gartner released its 2025 Magic Quadrant for Data Quality Systems, naming three key leaders: Qlik Talend, Informatica, and Ataccama. Gartner highlights that augmented data quality solutions are revolutionizing traditional data quality processes, with AI and GenAI now driving these advancements.

By 2027, Gartner predicts that 70% of organizations will adopt modern data quality solutions to better support their AI adoption and digital transformation initiatives. The use of large language models (LLMs), natural language processing (NLP), and GenAI will accelerate the time to value, boosting productivity and efficiency.

Qlik has been particularly praised for its innovative technology in data quality for AI use cases and its support for unstructured data. Additionally, Qlik is one of the fastest-growing suppliers in this space.

You can read the full report here.