Ajman University Seals New Partnership Deal With Ajman Statistical And Competitiveness Center

Monday, Jan 10, 2022
Ajman University Seals New Partnership Deal With Ajman Statistical And Competitiveness Center

Ajman University initially signed an MOU with Ajman statistical and competitiveness center (ASCC)  and the deal recently came to fruition, with a delegation from the Artificial Intelligence Research Center (AIRC) meeting with ASCC members to build a plan for beneficial collaboration. The ASCC is charged with the responsibility of providing the AIRC with survey data for Ajman transportation services while the AIRC team analyses the data for more insights.

We are extremely glad for this initiative, and we hope this helps to promote an amazing environment for all stakeholders, including students and teachers. The move is in line with the university’s strategic goal of providing a top-notch learning experience to students,” said Dr. Karim Seghir, Chancellor, Ajman University.

The data gotten by the AIRC members is used for two projects - a comprehensive dashboard to enhance the user experience and building an intelligent prediction system to predict the customers' overall satisfaction utilizing machine learning techniques.

With the existence of advanced business intelligence (BI) tools, the AIRC members were able to propose a dashboard that enhances some existing visuals and proposes others. Consequently, more functionalities, including fully interactive and usage of different statistical plots to improve the user experience, are created. In a related development, additional features, including the availability of the dashboard in two languages - Arabic and English and the ability to visualize the analyses for a single year or multiyear, were proposed.

On the other hand, the AIRC team decided to make use of the power of artificial intelligence and machine learning algorithms to predict the overall satisfaction after analyzing the ASCC survey fields. Therefore, a prediction system was built employing the provided data of ASCC. The system efficiently predicts the customer satisfaction level based on other questions in the survey, helping to reduce analysis error which occurs because of users' answers inconsistency.

The project was presented to the ASCC members, and they were admired by the work of the AIRC team. That is not the end of the collaboration, that is just the beginning of more collaborations in the discipline.