Gouda, 2801,
Netherlands
BAM Infra Nederland Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by BAM Infra Nederland and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 19837 BAM Infra Nederland employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that BAM Infra Nederland has purchased the following applications: Amazon EC2 for Application Hosting and Computing Services in 2015, Microsoft Azure Machine Learning for ML and Data Science Platforms in 2017 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems BAM Infra Nederland is running and its propensity to invest more and deepen its relationship with Amazon Web Services (AWS) , Microsoft , Cloudflare 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 BAM Infra Nederland revenues, which have grown to $7.55 billion 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 BAM Infra Nederland 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.
IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Amazon Web Services (AWS) | Legacy | Amazon EC2 | Application Hosting and Computing Services | IaaS | n/a | 2015 | 2015 |
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Application Hosting and Computing Services | IaaS |
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2016 | 2016 |
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Content Delivery Network | IaaS |
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2020 | 2020 |
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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 | n/a | 2017 | 2018 |
In 2017, BAM Infra Nederland deployed Microsoft Azure Machine Learning to automate road inspection, using ML and Data Science Platforms to detect and classify surface defects on asphalt roadways. Based in Gouda in the Netherlands, BAM delivers design, build, finance, and maintenance services for road infrastructure and pursued a cloud-based solution to reduce a manual and labor intensive inspection process.
The implementation centers on image-based machine learning algorithms hosted and operationalized in Microsoft Azure Machine Learning. Functional capabilities implemented include automated defect detection, classification of damage types, and model inference pipelines that produce structured defect outputs for downstream inspection workflows.
Architecturally the solution is cloud-hosted on Microsoft Azure, with training and inference executed inside Microsoft Azure Machine Learning and inference pipelines applied to roadway imagery. Operational scope targeted inspection and maintenance business functions within BAM Infra Nederland, enabling field inspection teams to consume model outputs and prioritize remediation tasks.
Outcomes documented include near 100 percent accuracy in locating road damage and up to 75 percent accuracy in identifying damage type, enabling faster insight into pavement condition and earlier remediation of asphalt flaws to avoid more costly repairs later. Governance and process changes focused on embedding model outputs into maintenance decision processes and routing identified defects into existing repair workflows.
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