Remove AI Automation Remove Data Quality Remove Generative AI
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SolarWinds IT Trends Report 2024: Embracing AI – A Boon or a Risk?

Unite.AI

Regulatory Needs : A substantial majority (88%) of respondents support increased government oversight of AI, particularly in areas related to security (72%) and privacy (64%). Trust in Data Quality Data Quality Issues : Many IT professionals are cautious about the quality of data used in AI systems.

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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. As a result, QA teams can focus on delivering high-performing software instead of generating test cases and tracking errors manually.

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AI and Automation Transforming Quality Engineering: Insights from the 2024 World Quality Report

Unite.AI

With over 1,775 executives surveyed across 33 countries, the report uncovers how AI, automation, and sustainability are transforming the landscape of quality assurance. As AI technology progresses, organizations are being called to adopt new, innovative solutions for QE, especially as Generative AI (Gen AI) takes center stage.

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Jay Mishra, COO of Astera Software – Interview Series

Unite.AI

Jay Mishra is the Chief Operating Officer (COO) at Astera Software , a rapidly-growing provider of enterprise-ready data solutions. That has been one of the key trends and one most recent ones is the addition of artificial intelligence to use AI, specifically generative AI to make automation even better.

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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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Top 10 Data Integration Tools in 2024

Unite.AI

It offers both open-source and enterprise/paid versions and facilitates big data management. Key Features: Seamless integration with cloud and on-premise environments, extensive data quality, and governance tools. Pros: Scalable, strong data governance features, support for big data.

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10 Best Data Integration Tools (September 2024)

Unite.AI

It offers both open-source and enterprise/paid versions and facilitates big data management. Key Features: Seamless integration with cloud and on-premise environments, extensive data quality, and governance tools. Pros: Scalable, strong data governance features, support for big data. Visit Boomi → 8.