Bringing the End-User into the AI Picture
Overlooking End-Users in AI Applications
Vincent Gosselin highlights the importance of considering end-users, who may not have AI expertise, in interacting with AI software. Most AI applications require end-users to collaborate with the AI engine.
Taipy’s Capabilities to enhance end-user interaction with AI
Taipy provides practical solutions to enhance end-user interaction with AI through the concept of “scenario” and “data nodes”. It offers the ability to model pipelines as a sequence of Python tasks and implement scenario comparison.
Create a pipeline
You can create a pipeline either programmatically using Python code or through Taipy Studio, a Graphical Editor that enhances pipeline creation.
Execute different scenarios
Scenarios are instances of pipeline configurations which can be created, initialized and executed, enabling easy retrieval, tracking, and re-execution.
Benefits
The scenario management process allows for user functionalities, full pipeline versioning, and narrowing the gap between data scientists/developers and end-users.
Conclusion
Bringing the end-user into the AI picture is crucial for better AI software and decisions. It triggers interest and discussion on this topic, ultimately leading to better AI software.
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