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Dennis Montanje

Dennis is as VP AWS CCoE Europe responsible for the AWS business and relationship for Noventiq in Europe.

Managing sandboxes in AWS is hard —Noventiq can change that

In every modern cloud-driven organization, innovation depends on experimentation. Developers, architects, and data teams constantly need safe spaces to build, test, and break things—without putting production workloads or budgets at risk. Especially now in the AI-era. In theory, AWS makes this easy. In practice, creating and governing sandboxes across an enterprise AWS environment is far more complex than it appears.

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Empowering Edge-to-Cloud AI with Nasuni Edge for Amazon S3

As organizations scale their AI ambitions, they’re discovering that the most valuable data isn’t just in the cloud — it’s at the edge: in factories, hospitals, construction sites, energy plants, and branch offices. This edge data holds the real-time signals that fuel prediction, automation, and innovation. Yet managing, processing, and securing this data — while making it usable for AI — is complex. Nasuni Edge for Amazon S3, extends the power of Amazon S3 storage and AWS AI services directly to the edge.

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Noventiq Earns AWS Small and Medium Business (SMB) Competency!

We’re thrilled to be recognized by AWS for our proven success and deep expertise in supporting SMBs through their digital and cloud transformation.

At Noventiq, we understand that small and medium businesses face unique challenges. That’s why we design customized AWS solutions to meet their specific needs—solutions that are scalable, secure, and cost-effective.

Here’s how we help SMBs succeed in the cloud:
🔹 Scalable architectures tailored to their pace of growth
🔹 Cost optimization aligned with business goals
🔹 Secure, resilient cloud environments
🔹 Deployment strategies fit for real-world SMB operations
🔹 Industry-aware, localized solutions

This competency reflects our ongoing commitment to empowering SMBs with the right tools and guidance to thrive in the cloud.

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Data Lakes for Manufacturing

In today’s data-driven landscape, organizations are increasingly turning to data lakes to harness vast amounts of information. However, building a data lake is not just a technical challenge; it involves significant business considerations that can determine its success or failure. Before diving into the technical aspects, businesses must clearly define their objectives. For manufacturers, this could mean improving production efficiency, reducing downtime, or enhancing product quality:

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By 2026, 40% of organizations will reduce the pace of their cloud adoption due to challenges managing increasing public cloud expenditure.

In the Predicts 2024: Unraveling Tomorrow’s Cloud Computing Landscape (ID G00800051) Gartner makes the interesting strategic planning assumption that by 2026, 40% of organizations will reduce the pace of their cloud adoption due to challenges managing increasing public cloud expenditure. Now why is that?

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