AI Buyer Insights:

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Michelin, an e2open customer evaluated Oracle Transportation Management

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Michelin, an e2open customer evaluated Oracle Transportation Management

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Hong Kong Shue Yan University Data, Technology Stack, and Enterprise Applications
AI-Powered Application
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Previous System
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Market
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Rocket.chat Legacy Rocket.chat Chatbots and Conversational AI AI-Powered Application n/a 2018 2018
Collaboration
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Microsoft Legacy Microsoft 365 Collaboration Collaboration n/a 2015 2015
Collaboration Collaboration 2020 2020
Analytics and BI
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IBM Legacy IBM Cloud Pak for Data Data Warehouse Analytics and BI n/a 2020 2020 In September 2020, Hong Kong Shue Yan University launched three laboratories and deployed IBM Cloud Pak for Data as a Data Warehouse solution to support teaching and research. The deployment targeted a new Big Data Laboratory within the research building, and the initial operational scope emphasized instruction and faculty research across the Department of Applied Data Science, the Department of Business Administration, and the Department of Economics and Finance. The IBM Cloud Pak for Data platform was provisioned on the universitys on premises private cloud and configured to expose multiple microservices and analytic components for classroom use. Key functional capabilities implemented include IBM Watson Discovery for unstructured news analysis and AutoAI within IBM Watson Studio to automate data preprocessing, model selection, and visual model evaluation, enabling low or no code methods for nontechnical users. Integrations and proof of concept work were conducted through an IBM Client Engineering workshop that produced a two week minimum viable product of Watson Discovery using university selected data sources. The platform integration emphasizes a single user friendly interface that guides students and faculty through data ingestion, visualization, model building, and report generation, and the environment supports planned connections to IoT devices for future courses. Governance and rollout followed an academic centric approach, with workshop led onboarding for professors and staff, short lab based classes that combine demos with hands on practice, and staged adoption across departments. The implementation explicitly supports pedagogical aims, with professors using the platform to teach Python and data analysis workflows and the university planning to embed the platform into curriculum such as a Bachelor of Science in Applied Data Science program launching in 2022. As of January 2022, about 100 students are using IBM Cloud Pak for Data in the Big Data Laboratory, and university workshops expanded attendance from around 20 to nearly 50 staff members as adoption grew. The deployment positions Hong Kong Shue Yan University to scale data analytics and machine learning pedagogy across teaching and research while retaining on premises control of its Data Warehouse platform.
HCM
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Learning and Development HCM 2020 2020
AI Development
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ML and Data Science Platforms AI Development 2020 2020
IT Decision Makers and Key Stakeholders at Hong Kong Shue Yan University
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Apps Being Evaluated by Hong Kong Shue Yan University Executives
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FAQ - APPS RUN THE WORLD Hong Kong Shue Yan University Technographics

Hong Kong Shue Yan University is a Education organization based in Hong Kong, with around 280 employees and annual revenues of $30.0 million.

Hong Kong Shue Yan University operates a diverse technology stack with applications such as Rocket.chat, Microsoft 365 and IBM Cloud Pak for Data, covering areas like Chatbots and Conversational AI, Collaboration and Data Warehouse.

Hong Kong Shue Yan University has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as Rocket.chat, Microsoft and IBM.

Hong Kong Shue Yan University recently adopted applications including Google Workspace (Formerly Google G-Suite) in 2020, IBM Cloud Pak for Data in 2020 and Moodle LMS in 2020, highlighting its ongoing modernization strategy.

APPS RUN THE WORLD maintains an up-to-date database of Hong Kong Shue Yan University’s key decision makers and IT executives, available to Premium subscribers.

Our research team continuously updates Hong Kong Shue Yan University’s profile with verified software purchases, vendor relationships, and digital initiatives identified from public and proprietary sources.

Subscribe to APPS RUN THE WORLD to access the complete Hong Kong Shue Yan University technographics profile, including detailed breakdowns by category, vendor, and IT decision makers.