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The Future of AI in Quality Assurance

Unite.AI

Benefits of AI in Quality Assurance Here are a few benefits of AI-powered quality assurance: Greater Efficiency: AI takes over the repetitive tasks that often slow the QA process. AI automates test data generation, too, creating a wide range of test data that reduces the need for manual input.

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9 data governance strategies that will unlock the potential of your business data

IBM Journey to AI blog

Access to high-quality data can help organizations start successful products, defend against digital attacks, understand failures and pivot toward success. Emerging technologies and trends, such as machine learning (ML), artificial intelligence (AI), automation and generative AI (gen AI), all rely on good data quality.

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