Osaka, 599-8531,
Japan
Osaka Prefecture University Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Osaka Prefecture University and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 755 Osaka Prefecture University employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Osaka Prefecture University has purchased the following applications: PayPal Enterprise for Payment Processing in 2020, Microsoft Azure Machine Learning for ML and Data Science Platforms in 2015, Microsoft 365 for Collaboration in 2016 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Osaka Prefecture University is running and its propensity to invest more and deepen its relationship with PayPal , Microsoft , Google 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 Osaka Prefecture University revenues, which have grown to $65.0 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 Osaka Prefecture University 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.
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 |
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CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Identity and Access Management (IAM) | CyberSecurity |
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2017 | 2017 |
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