Qlik announces new enhancements to its AutoML capabilities, enabling analytics teams to build and deploy high-performing machine learning models. AutoML is fully integrated into Qlik Cloud, which aims to facilitate proactive decision-making and optimise outcomes.
"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.
AutoML enhancements
Qlik's latest AutoML enhancements claim to simplify building and deploying machine learning models through automating iteration and data science.
The enhancements also offer auto-generated dashboards for analysis and model performance comparison and leverage full integration into Qlik Cloud for a unified, user-friendly experience that facilitates data-driven decision-making.
Moreover, with comprehensive MLOps capabilities powered by automated monitoring, retraining, and lifecycle management, it claims to offer model accuracy and business value.
"The enhancements Qlik is introducing to AutoML promise to significantly accelerate the value we derive from our AI initiatives," said Mikkel Hecht Hansen, head of BI at Nordisk Film. "The focus on model explainability will allow us to trust the insights and make data-driven decisions with greater confidence. This transparency is crucial for our business, as it helps us understand the drivers behind the predictions and act proactively, ultimately leading to better business outcomes."
