Building trust in AI: Qlik’s latest AutoML enhancements offer transparent explainability and improved business outcomes

Qlik announces new enhancements to its AutoML capabilities. These updates make it easier for analytics teams to build and deploy high-performing machine learning models, providing native analytics to explain predictions in real-time. With full integration into Qlik Cloud, these features enable businesses to move from reactive to proactive decision-making, helping them anticipate trends, address challenges, and optimize outcomes with greater confidence.

“At Qlik, we understand that trust and transparency are critical in AI-driven decision-making. Our latest AutoML enhancements ensure full model explainability, providing our users with the confidence that their AI models are reliable and performing well. These advancements foster trust and translate into more informed strategic decisions, enabling better business outcomes,” said Brendan Grady, General Manager of Qlik’s Analytics Business Unit.

Qlik’s latest AutoML enhancements bring significant value to businesses by delivering clear and actionable outcomes:

Intelligent model optimisation: Simplifies the process of building ...