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Qlik has introduced major upgrades to its AutoML capabilities, streamlining the development and deployment of machine learning models for analytics teams. These enhancements, integrated into Qlik Cloud, enable businesses to shift from reactive to proactive decision-making, allowing for better trend forecasting and challenge management. The focus is on delivering actionable insights that optimize business outcomes with greater confidence.
The new features emphasize intelligent model optimization, native machine learning analytics, and comprehensive MLOps capabilities. These advancements not only simplify the model-building process but also enhance transparency and trust in AI outputs, which are crucial for informed strategic decisions. By providing tools for real-time insights and scenario planning, Qlik positions itself as a leader in fostering a proactive, data-driven business environment.
• Qlik's AutoML enhancements simplify machine learning model development.
• New features promote proactive decision-making through actionable insights.
Qlik's enhancements to AutoML aim to make model development more efficient and accessible for analytics teams.
The comprehensive MLOps capabilities introduced by Qlik ensure ongoing model accuracy and business value.
Qlik's intelligent model optimization automates this process, allowing teams to create high-performing models with less effort.
Qlik's recent advancements in AutoML position it as a leader in providing tools for data-driven decision-making.
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