Vectorcast
Too often, teams work without understanding the context of what they are building and why, creating silos where there should be alignment. Fortunately, there is a solution: traceability. By linking test cases and code coverage to the business and technical requirements teams can better understand what they are building. For companies building regulated products according to strict standards, this added context and traceability is essential.
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Artemis Vision
Image based ML algorithms have been advancing exponentially, but manufacturing industries have been slow to adopt these new methods. Supervised ML algorithms can be taught to perform inspections with less developer effort for certain classes of problems when compared to traditional methods, and will often work where traditional techniques are infeasible. Advances in IIOT have reduced the cost of acquiring and labelling large datasets, situating manufacturing in a sweet-spot for leveraging ML.
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Watch this on-demand webcast to learn about the practical applications of AI in your insurance operations, including:
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DevOps.com
Performance Optimization and Troubleshooting Modern Data Applications With cloud becoming the deployment platform of choice for data pipelines, many IT organizations must now come to grips with what that means for planning, budgeting, migrating and operating big data in the cloud.
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