AI Automation Data Quality Generative AI 
Unite.AI
JUNE 12, 2024
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.
Unite.AI
SEPTEMBER 30, 2024
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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Unite.AI
OCTOBER 22, 2024
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.
IBM Journey to AI blog
SEPTEMBER 5, 2024
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.
Unite.AI
SEPTEMBER 22, 2023
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.
ODSC - Open Data Science
MARCH 5, 2025
Once defined by statistical models and SQL queries, todays data practitioners must navigate a dynamic ecosystem that includes cloud computing, software engineering best practices, and the rise of generative AI. Data Engineering: The infrastructure and pipeline work that supports AI and datascience.
Unite.AI
SEPTEMBER 16, 2024
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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