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Qlik introduces new machine learning capabilities in the latest release of the Qlik Sense platform. The engine is constantly getting smarter thanks to precedent-based machine learning. It not only takes information from different sources, but also from interactions with users and the feedback they provide.

According to Qlik, this combination of data sources makes Qlik the first provider of analytics that not only provides AI and ML with data, but also with human behavior. Qlik’s new ML capacity will first be deployed in Insight Advisor, which was introduced within Qlik Sense Enterprise in June.

Performing analyses yourself

Insight Advisor automatically generates and suggests the best analysis functions and insights based on the user’s complete dataset and search criteria. As the system learns from interactions with the user, the suggestions it makes become increasingly relevant. In addition, users can train Insight Advisor by performing analyses and correcting suggestions themselves. This is not the only source of information: the cognitive engine also learns from the information in managed and trusted sources, such as the definitions of business rules in general libraries and Qlik artifacts.

According to Elif Tutu, Director of Research at Qlik, companies want an analytical partner that delivers innovations and helps them to access data faster and easier. AI and ML applications give users more opportunities to explore multiple data levels in the knowledge that the system learns from them. And every new insight makes the system smarter and can ultimately lead to new opportunities for the company.

Qlik’s associative engine is aware of the user context at each step in the research process and knows which data is or is not relevant to that context. The system then takes this into account when carrying out the analysis and presenting insights, so that they are more relevant to the user. This gives the user a broader view of the data and therefore also provides insight into previously hidden relationships.

This news article was automatically translated from Dutch to give Techzine.eu a head start. All news articles after September 1, 2019 are written in native English and NOT translated. All our background stories are written in native English as well. For more information read our launch article.