Work flow description

Work flow description

AI projects involve the application of cutting-edge technology to address new and often complex challenges, which inherently carries higher risks compared to projects in traditional fields. Reports…
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Pre-study

Pre-study

The pre-study with Tensor Bridge has three overall goals: To define the business case: stakeholders, expected returns, market and competition To define the extend of the project in terms of…
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Evaluation

Evaluation

An AI product undergoes evaluation at several key phases of its lifecycle, including (1) during the pre-study phase, (2) during development, (3) at the point of delivery, and (4) after a period of…
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Our Courses

Our Courses

To ensure your team seamlessly adapts to cutting-edge technologies, we provide comprehensive training and courses in AI. Our courses are designed to expedite understanding and implementation of AI…
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Testing variant-rich systems

Testing variant-rich systems

Across various domains, the ITEA project XIVT (eXellence In Variant Testing) has developed tools and methods for the more efficient and accurate testing of products which are highly configurable or…
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Automated Quality Assurance

Automated Quality Assurance

Abstract A common phenomenon in software development is that as a system is being built and incremented with new features, certain quality aspects of the system begin to deteriorate. Therefore, it is…
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