AI Buyer Insights:

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Michelin, an e2open customer evaluated Oracle Transportation Management

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Michelin, an e2open customer evaluated Oracle Transportation Management

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Osaka Prefecture University Data, Technology Stack, and Enterprise Applications
ERP Financial Management
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
PayPal Legacy PayPal Enterprise Payment Processing ERP Financial Management n/a 2020 2020
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 SERAKU Co 2015 2016
In 2015, Osaka Prefecture University implemented Microsoft Azure Machine Learning as part of a cloud-hosted greenhouse monitoring and analytics initiative developed and delivered by SERAKU Co. The deployment supported Midori Cloud, bringing ML-driven image analysis and sensor data processing into an operational system for agricultural monitoring and university research, under the ML and Data Science Platforms category. The implementation instrumented modules for continuous sensor ingestion, webcam capture, image analysis for change detection, and alerting. The webcam captured images at two minute intervals, image analysis removed near-duplicate frames while preserving at least one image per hour, and an image slideshow capability allowed discretionary review. Functional capabilities explicitly included telemetry collection for temperature, humidity, solar radiation, and soil moisture, optional CO2 sensing, and smartphone alerting tied to anomalous measurements. Integrations and architecture centered on Microsoft Azure services, with Microsoft Azure Machine Learning leveraged for the platform level analytics and Azure Notification Hubs used to deliver push notifications to the Midori Monitor smartphone app. Seraku initially migrated Linux-developed assets onto an Azure virtual machine in an infrastructure as a service model to accelerate launch, while retaining the option to adopt Azure platform as a service components for scalable growth. Hosting on Azure removed the need for farmers to procure and manage on-premises servers, shifting operational responsibilities to cloud services. Governance and rollout were iterative, informed by direct user testing with 70 cooperating farmers, which drove user interface refinements such as expanded LCD displays for yesterday and today high low and average values and added graphical views. The project moved from trial production in August 2014 to product announcement in October and commercialization through October 2015, with SERAKU Co operating as the systems integrator. Explicit benefits reported in the deployment included low initial introduction cost, ease of getting started through pre-integrated components, and reduced need for constant desktop monitoring due to smartphone alerts.
Collaboration
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Microsoft Legacy Microsoft 365 Collaboration Collaboration n/a 2016 2016
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
Identity and Access Management (IAM) CyberSecurity 2017 2017
IT Decision Makers and Key Stakeholders at Osaka Prefecture University
First Name Last Name Title Function Department Email Phone
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Apps Being Evaluated by Osaka Prefecture University Executives
Date Company Status Vendor Product Category Market
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FAQ - APPS RUN THE WORLD Osaka Prefecture University Technographics

Osaka Prefecture University is a Education organization based in Japan, with around 755 employees and annual revenues of $65.0 million.

Osaka Prefecture University operates a diverse technology stack with applications such as PayPal Enterprise, Microsoft Azure Machine Learning and Microsoft 365, covering areas like Payment Processing, ML and Data Science Platforms and Collaboration.

Osaka Prefecture University has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as PayPal and Microsoft.

Osaka Prefecture University recently adopted applications including PayPal Enterprise in 2020, Google Identity Platform in 2017 and Microsoft 365 in 2016, highlighting its ongoing modernization strategy.

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

Our research team continuously updates Osaka Prefecture 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 Osaka Prefecture University technographics profile, including detailed breakdowns by category, vendor, and IT decision makers.