The International Islamic University Malaysia Technographics
The International Islamic University Malaysia Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by The International Islamic University Malaysia and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 2000 The International Islamic University Malaysia employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that The International Islamic University Malaysia has purchased the following applications: Moodle LMS for Learning and Development in 2021, Microsoft Azure Machine Learning for ML and Data Science Platforms in 2016, Cisco Webex Meetings for Audio Video and Web Conferencing in 2020 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems The International Islamic University Malaysia is running and its propensity to invest more and deepen its relationship with Moodle , Microsoft , Cisco Systems or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing The International Islamic University Malaysia revenues, which have grown to $230.0 million in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for The International Islamic University Malaysia intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
The International Islamic University Malaysia Tech Stack and Enterprise Applications
The International Islamic University Malaysia HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Moodle | Legacy | Moodle LMS | Learning and Development | HCM | n/a | 2021 | 2021 |
In 2021, the International Islamic University Malaysia deployed Moodle LMS as a web-accessible learning platform. The implementation places Moodle LMS squarely in the Learning and Development category to support course delivery and institutional training through the university website.
The Moodle LMS instance is configured to support course authoring and delivery, enrollment management, assessment workflows and gradebook functions, discussion forums, and a centralized resource repository. Configuration emphasizes course management, learner role definitions, assessment and feedback workflows, and content packaging compatible with common e-learning formats.
The deployment is provisioned on the university public web domain providing a centralized LMS instance for faculties, academic staff, and student populations across campus. The architecture reflects a web-based application model with role-based access controls for instructors, students, and LMS administrators, enabling campus-wide asynchronous and blended learning delivery.
Governance is organized around LMS administrators and academic coordinators who manage course provisioning, enrollment rules, access controls, and faculty course ownership for content and assessments. Operational support and rollout are integrated into existing IT and academic support processes to embed Learning and Development workflows within teaching and administrative functions.
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The International Islamic University Malaysia AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft Azure Machine Learning | ML and Data Science Platforms | AI Development | n/a | 2016 | 2017 |
In 2016, the International Islamic University Malaysia introduced Microsoft Azure Machine Learning within the Department of Computer Science as part of a KICT Computational Intelligence initiative led by Associate Professor Dr. Normaziah Abdul Aziz. Microsoft Azure Machine Learning was presented as a component of the Cortana Intelligence Suite and was adopted into the Principles of AI module by Dr. Amelia in the following semester to provide hands-on experience building predictive analytics solutions. The deployment targeted undergraduate coursework, first- and second-year modules, and the elective Machine Learning course, making the application central to classroom instruction and lab exercises. This academic rollout aligned the university with the ML and Data Science Platforms category to modernize practical AI pedagogy.
Students used Microsoft Azure Machine Learning to construct, test, and deploy end-to-end experiments on a visual-centric interface, exercising artificial neural networks and other algorithms. Functional usage included data preparation, feature engineering, model training, model evaluation, and model deployment workflows, enabling instructors to expand the Machine Learning syllabus to cover a broader set of algorithms. The platform’s integrated experiment designer and visualizations supported experimental design pedagogy, allowing comparative algorithm analysis within a single environment. This capability chain reinforced the relationship between theoretical algorithm instruction and applied model evaluation.
The implementation was cloud-based and hosted on Microsoft Azure, using a secure remote server model that removed local hardware constraints and reduced installation overhead for students and faculty. Because the service runs on Microsoft Azure infrastructure, users accessed the platform from any internet-connected PC or laptop, supporting mobile learning and out-of-class experimentation. Faculty reported high reliability with no recorded downtime across four semesters of use, underscoring operational stability for coursework delivery. The International Islamic University Malaysia deployed Microsoft Azure Machine Learning, categorized as ML and Data Science Platforms, to support computer science instruction and AI coursework.
Governance and rollout were faculty-led, initiated by Dr. Normaziah and operationalized in coursework by Dr. Amelia, with several other Computer Science faculty evaluating additional Cortana Intelligence Suite tools and educational curricula. Adoption resulted in higher student engagement and increased enrollment in the 14-week Machine Learning elective when it was first taught using the platform. Students produced projects including Bangla Handwritten Digit Recognition, Sentiment Analysis of corporate videos, rainfall forecasting, and botnet security analysis, demonstrating full lifecycle work from data preparation to model deployment. Faculty cited improved student ability to select suitable algorithms and increased internship opportunities tied to practical experience with the platform.
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The International Islamic University Malaysia Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Cisco Systems | Legacy | Cisco Webex Meetings | Audio Video and Web Conferencing | Collaboration | n/a | 2020 | 2020 |
In 2020, The International Islamic University Malaysia deployed Cisco Webex Meetings to provide campus collaboration and remote instruction. Cisco Webex Meetings is used on the university website and serves as the primary Audio Video and Web Conferencing application for synchronous teaching, administrative meetings, and virtual events.
The deployment uses the Cisco Webex Meetings cloud meeting platform and a web-embedded client model, enabling browser based joining, live video and audio, screen sharing, meeting recording, and participant controls consistent with Audio Video and Web Conferencing workflows. Configuration centers on meeting scheduling and hosting workflows, meeting security settings, and browser compatibility for student and staff access.
Operational coverage spans academic departments and central administrative units across the university, with IT central governance responsible for user provisioning, meeting policy configuration, and campus wide support processes. The implementation emphasizes web surfaced meeting access through the institutional website to streamline access for students, faculty, and external collaborators while aligning meeting administration with university IT governance.
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Collaboration | Collaboration |
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2013 | 2013 |
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The International Islamic University Malaysia CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Data Management Platform | CRM |
|
2017 | 2017 |
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The International Islamic University Malaysia IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
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|
Content Delivery Network | IaaS |
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2020 | 2020 |
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IT Decision Makers and Key Stakeholders at The International Islamic University Malaysia
Apps Being Evaluated by The International Islamic University Malaysia Executives
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| 2025-04-22 | The International Islamic University Malaysia | Evaluated | Zoom Video Communications | Zoom | Audio Video and Web Conferencing | Collaboration |