If you’re reading this, chances are your organization is already aware of the additional management effort, devices, and testers required to ensure quality QA through software testing. You’re likely not doing it alone. Your in-house testers and external resources are probably scattered across different testing management platforms and software. But multiple platforms make collaboration more complicated than it needs to be.
In digital transformation projects, it’s easy to imagine the benefits of cloud, hybrid, artificial intelligence (AI), and machine learning (ML) models. The hard part is to turn aspiration into reality by creating an organization that is truly data-driven.
The manufacturing industry, like any other industry, is not immune to data challenges. Sourcing data, wrangling it and ensuring it’s being used in a governed, standardized way are not uncommon problems. Particularly in manufacturing, issues surface with inventory management, within the supply chain and with logistics.
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