Title: Enhancing End-User Interaction with AI: Practical Solutions and Value Vincent Gosselin emphasizes the importance of involving end-users in AI applications, even if they lack AI expertise. Collaboration with the AI engine is essential for most AI applications. Taipy's Capabilities for Improving End-User Interaction with AI Taipy offers practical solutions to improve end-user interaction with AI through the use of "scenarios" and "data nodes." It enables the modeling of pipelines as a sequence of Python tasks and the implementation of scenario comparison. Creating a Pipeline Pipelines can be created programmatically using Python code or through Taipy Studio, a Graphical Editor that simplifies pipeline creation. Executing Different Scenarios Scenarios are instances of pipeline configurations that can be created, initialized, and executed, allowing for easy retrieval, tracking, and re-execution. Benefits The scenario management process provides user functionalities, full pipeline versioning, and bridges the gap between data scientists/developers and end-users. Conclusion Involving the end-user in the AI process is critical for improving AI software and decision-making. It encourages discussion and interest in this topic, ultimately leading to better AI software. Practical AI Solution Spotlight Consider leveraging AI solutions to redefine sales processes and customer engagement. Explore the AI Sales Bot from itinai.com/aisalesbot, designed to automate customer engagement and manage interactions across all customer journey stages. Useful Links: AI Lab in Telegram @aiscrumbot – for free consultation Twitter – @itinaicom
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