Seoul, n/a,
South Korea
Samsung Medison South Korea Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Samsung Medison South Korea and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 1040 Samsung Medison South Korea employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Samsung Medison South Korea has purchased the following applications: NVIDIA TensorRT for Apps Development in 2021, jsDelivr CDN for Content Delivery Network in 2024 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Samsung Medison South Korea is running and its propensity to invest more and deepen its relationship with NVIDIA , jsDelivr 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 Samsung Medison South Korea revenues, which have grown to $439.0 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 Samsung Medison South Korea 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.
PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| NVIDIA | Legacy | NVIDIA TensorRT | Apps Development | PaaS | n/a | 2021 | 2022 | In 2021, Samsung Medison South Korea integrated NVIDIA TensorRT into the Intelligent Assist features of its V8 high end ultrasound systems under an Apps Development initiative to accelerate on device inference. NVIDIA TensorRT was embedded in device software to support medical imaging workflows, with the stated objective of improving medical image quality and clinician support for reading and diagnosis, and the integration was announced as a use case in South Korea aimed to reduce scan time and streamline workflows. The implementation was delivered as device software integration within the V8 ultrasound product line, leveraging NVIDIA TensorRT for inference optimization and low latency runtime for deep learning models used by Intelligent Assist. Operational coverage focused on medical imaging and clinician reading workflows on the V8 systems in South Korea, and the work emphasized embedding inference acceleration into existing device software stacks as described in NVIDIA's announcement. |
IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| jsDelivr | Legacy | jsDelivr CDN | Content Delivery Network | IaaS | n/a | 2024 | 2024 |
| First Name | Last Name | Title | Function | Department | Phone | |
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| No data found | ||||||
| Date | Company | Status | Vendor | Product | Category | Market |
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