Drag&drop tool for visual components: Neoteric Artificial Intelligence project at Qualified.One

Drag&drop tool for visual components by Neoteric

Some details

The Client applies AI and NLP to extract and blend structured data from the IoT and operational databases, with unstructured, free-flowing data from Tribal Knowledge and the Internet of Everything. They then use Big Data based in-memory technology to perform deep learning to identify patterns, risks, and opportunities previously impossible with traditional analytical tools.

Problem: No experience with

RappidJS. The process of building AI models is difficult and time-consuming.

Solution: Creating the visual designer app that is similar to a flowchart tool and is focused on building graphical representations of pipelines. The built solution allows companies to visually compose AI applications.

Result: The Client estimates that the app will help build AI models at least 40-50% faster once fully implemented, which translates into several manhours of coding saved

Want to learn more about this project? Read case study!

Score: 113714

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