Release Notes v1.1
Features
1. Workflow builder Pages
This release introduces a dedicated Workflow builder, that allows users to configure workflows directly within the user interface via templates. Building on the workflow engine introduced in the previous version, this release now enables users to edit, test, and manage their own AI-enabled automations.
New workflow capability:
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Clear, modular configuration interface for node-based editing
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Save and manage workflow progress, enabling iterative improvement.
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View workflow run history, offering transparency into each workflow execution.
2. Workflow Templates
Introducing Workflow templates; a new concept of predefined, verticalised workflow templates, to accelerate setup and configuration. The first manufacturing-specific template, “Availability Metric Monitoring,” provides a pre-made workflow for real-time production tracking and performance analytics.
Key Benefits:
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Pre-configured workflow frameworks with built-in prompts and logic, designed to accelerate setup while allowing for customisation.
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Guided implementation specific to each use case.
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Faster deployment through ready-made starting points, that streamline configuration and reduce setup complexity.
3. Integration with ‘DataQI Insights for Manufacturing’
We’ve added a new connection type that enables DataQI Insights for Manufacturing integration within workflows, supporting both event triggers and output delivery. This enhances the platform’s ability to interface with factory data, enabling real-time, cross-system automation
What you’ll see:
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Trigger node – configured to extract machine availability values directly from IfM.
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Notification node – configured to send AI-generated outputs as intuitive notifications to IfM.
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Seamless machine data exchange between DataQI Agent and IfM connected environments.
Other Improvements
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Connection Management – The connection page now provides improved connection status visibility and improved sorting.
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Improved File & Data Source Organisation – Data sources can now be sorted and organised more intuitively.