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VIA ELECTRONICS CO., LTD. Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by VIA ELECTRONICS CO., LTD. and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 1000 VIA ELECTRONICS CO., LTD. employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that VIA ELECTRONICS CO., LTD. has purchased the following applications: FogHorn Lightning EdgeML for ML and Data Science Platforms in 2018 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems VIA ELECTRONICS CO., LTD. is running and its propensity to invest more and deepen its relationship with Johnson Controls 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 VIA ELECTRONICS CO., LTD. revenues, which have grown to $184.0 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 VIA ELECTRONICS CO., LTD. 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.
AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Johnson Controls | Legacy | FogHorn Lightning EdgeML | ML and Data Science Platforms | AI Development | n/a | 2018 | 2018 |
In 2018, VIA ELECTRONICS CO., LTD. deployed FogHorn Lightning EdgeML as the core ML and Data Science Platforms implementation within its VIA Edge AI platform, targeting real time edge inference across manufacturing and smart infrastructure use cases. The deployment was designed to enable on device and local edge processing for immediate analytic response and reduced reliance on cloud round trips.
FogHorn Lightning EdgeML was configured to ingest sensor telemetry for real time data processing, model inference, and edge based machine learning workflows. Implemented functional capabilities included sensor data collection, feature extraction, anomaly detection, classification for correct identification, and short term predictive models, using FogHorn Lightning EdgeML streaming analytics and model management to run inference close to the source. The configuration emphasized continuous edge inference and model updates to support operational decisioning at device level.
Operational coverage focused on industrial, transportation, and smart city applications, moving telemetry from distributed sensors through edge processing and selectively forwarding aggregated results to cloud systems for historical analytics and model lifecycle management. The integrated VIA Edge AI platform solution centralized configuration and model deployment across distributed edge nodes to accelerate edge to cloud data processing and streamline operational rollout. This architecture supported real time identification and anomaly detection at the edge while retaining a cloud tier for longer term analytics.
Governance incorporated standardized model deployment and runtime monitoring across edge nodes, with processes to push updated models and analytics rules through the VIA platform to distributed sites. VIA positioned the FogHorn Lightning EdgeML implementation to help customers accelerate deployment timelines and to open opportunities to reduce costs, improve efficiency, and optimize business results. FogHorn Lightning EdgeML therefore serves as VIA ELECTRONICS CO., LTD. application in the ML and Data Science Platforms category for edge AI use cases.
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