With AI technology increasingly being used in business, it is crucial to involve end-users in the process. End-users are those individuals, often with no background in AI, who interact with the application in the course of their work. For this purpose, the open source team behind Taipy Enterprise Platform has developed a system of scenarios and data nodes to enable these interactions.
The platform allows users to modify an AI engine’s input or output, thus forming an integral part of the decision-making process. These scenarios allow for execution of the user’s algorithm, given a set of input information, which can be created either programmatically through Python code or using a visual code graph editor.
Taipy’s system offers a number of benefits, including tracking and comparing different scenarios based on specified KPIs, full pipeline versioning for project management, and bridging the gap between developers and end-users by providing insight into how the software is used.
Moreover, Taipy’s platform is designed to visually represent these scenarios, featuring a scenario ‘navigator’ and a ‘viewer’. By providing a variety of interactive elements, Taipy helps to foster a more accessible, user-friendly experience for those with little to no AI experience.
Overall, the concept of scenario management not only provides a more joined up process, but also serves to include end-users in the application of AI tech in the workplace. Future developments in this field are likely to focus on increasing user interaction and control, in turn leading to more effective use of AI technology in business decision-making processes. This change could potentially lead to better AI software and, ultimately, to better decisions.
