AI Buyer Insights:

Michelin, an e2open customer evaluated Oracle Transportation Management

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Michelin, an e2open customer evaluated Oracle Transportation Management

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Ascendas-Singbridge Data, Technology Stack, and Enterprise Applications
HCM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Oracle Legacy Oracle PeopleSoft HCM Core HR HCM n/a 2016 2018
AI Development
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
DataRobot Legacy DataRobot Cloud ML and Data Science Platforms AI Development n/a 2017 2017
In 2017 Ascendas-Singbridge implemented DataRobot Cloud in the ML and Data Science Platforms category to support time series forecasting of parking lot capacity. The implementation concentrated on automated time series modeling to turn historical occupancy data into operational capacity forecasts for parking operations. The deployment used DataRobot Cloud’s Time Series features and automated supervised machine learning workflows, enabling IT developers to perform model training, automated feature engineering, model selection, and backtesting without deep intervention into underlying model internals. DataRobot Cloud was used to operationalize standard time series functionality typical of ML and Data Science Platforms, including rolling forecasts and model validation workflows. Operational responsibility rested with the IT Enterprise Information Management team and the solution was applied to Ascendas-Singbridge parking operations and facilities management use cases. The workstreams centered on data ingestion and model iteration cycles managed by IT developers and analytic stakeholders, with models producing forecasts to inform day to day capacity planning. Leong Hiong Yee, Manager IT Enterprise Information Management, noted that DataRobot allows IT developers to pick up supervised machine learning easily, lowering the steep curve of machine learning and removing the complexity of the underlying models from developers. Governance focused on enabling developer led model creation and iterative model lifecycle management within the DataRobot Cloud environment.
Collaboration
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Microsoft Legacy Microsoft 365 Collaboration Collaboration n/a 2017 2017
IaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Application Hosting and Computing Services IaaS 2016 2016
CyberSecurity
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Secure Web Gateways (SWG) CyberSecurity 2020 2020
Web Application Firewalls (WAF) CyberSecurity 2015 2015
IT Decision Makers and Key Stakeholders at Ascendas-Singbridge
First Name Last Name Title Function Department Email Phone
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Apps Being Evaluated by Ascendas-Singbridge Executives
Date Company Status Vendor Product Category Market
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FAQ - APPS RUN THE WORLD Ascendas-Singbridge Technographics

Ascendas-Singbridge is a Construction and Real Estate organization based in Singapore, with around 1200 employees and annual revenues of $561.0 million.

Ascendas-Singbridge operates a diverse technology stack with applications such as Oracle PeopleSoft HCM, DataRobot Cloud and Microsoft 365, covering areas like Core HR, ML and Data Science Platforms and Collaboration.

Ascendas-Singbridge has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as Oracle, DataRobot and Microsoft.

Ascendas-Singbridge recently adopted applications including Broadcom Symantec Secure Web Gateway in 2020, DataRobot Cloud in 2017 and Microsoft 365 in 2017, highlighting its ongoing modernization strategy.

APPS RUN THE WORLD maintains an up-to-date database of Ascendas-Singbridge’s key decision makers and IT executives, available to Premium subscribers.

Our research team continuously updates Ascendas-Singbridge’s profile with verified software purchases, vendor relationships, and digital initiatives identified from public and proprietary sources.

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