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State of Data Quality Report

insideBIGDATA

Bigeye, the data observability company, announced the results of its 2023 State of Data Quality survey. The report sheds light on the most pervasive problems in data quality today. The report, which was researched and authored by Bigeye, consisted of answers from 100 survey respondents.

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Innovations in Analytics: Elevating Data Quality with GenAI

Towards AI

Data analytics has become a key driver of commercial success in recent years. The ability to turn large data sets into actionable insights can mean the difference between a successful campaign and missed opportunities. Flipping the paradigm: Using AI to enhance data quality What if we could change the way we think about data quality?

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2025 Planning Insights: Data Quality Remains the Top Data Integrity Challenge and Priority

Precisely

Key Takeaways: Data quality is the top challenge impacting data integrity – cited as such by 64% of organizations. Data trust is impacted by data quality issues, with 67% of organizations saying they don’t completely trust their data used for decision-making.

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Study Finds Data Quality is Still the Largest Obstacle for Successful AI and Greater Human Expertise Needed Across ML Ops Lifecycle

insideBIGDATA

iMerit, a leading artificial intelligence (AI) data solutions company, released its 2023 State of ML Ops report, which includes a study outlining the impact of data on wide-scale commercial-ready AI projects.

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Top 9 AI conferences and events in USA – 2023

Data Science Dojo

Top AI conferences and events around the world in 2023 Here are some of the top AI-related virtual events and conferences held around the world in 2023: 1. Generative AI and Data Storytelling (Virtual event | 27th September – 2023) A virtual event on generative AI and data storytelling. Click below 2.

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Data Integrity vs. Data Quality: How Are They Different?

Precisely

When companies work with data that is untrustworthy for any reason, it can result in incorrect insights, skewed analysis, and reckless recommendations to become data integrity vs data quality. Two terms can be used to describe the condition of data: data integrity and data quality.

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Essential data engineering tools for 2023: Empowering for management and analysis

Data Science Dojo

Data engineering tools offer a range of features and functionalities, including data integration, data transformation, data quality management, workflow orchestration, and data visualization. Essential data engineering tools for 2023 Top 10 data engineering tools to watch out for in 2023 1.