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Automating Data Quality Checks with Dagster and Great Expectations

Analytics Vidhya

Introduction Ensuring data quality is paramount for businesses relying on data-driven decision-making. As data volumes grow and sources diversify, manual quality checks become increasingly impractical and error-prone.

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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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The Pace of AI: The Next Phase in the Future of Innovation

Unite.AI

Even in the early days of Google’s widely-used search engine, automation was at the heart of the results. Early uses of AI in industries like supply chain management (SCM) trace back to the 1950s, using automation to solve problems in logistics and inventory management.

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Data integrity vs. data quality: Is there a difference?

IBM Journey to AI blog

When we talk about data integrity, we’re referring to the overarching completeness, accuracy, consistency, accessibility, and security of an organization’s data. Together, these factors determine the reliability of the organization’s data. Data quality Data quality is essentially the measure of data integrity.

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Optimizing Company Workflows with AI Agents: Myth or Reality?

Unite.AI

While AI can excel at certain tasks — like data analysis and process automation — many organizations encounter difficulties when trying to apply these tools to their unique workflows. Data quality is another critical concern. AI systems are only as good as the data fed into them.

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Prescriptive AI: The Smart Decision-Maker for Healthcare, Logistics, and Beyond

Unite.AI

This capability is essential for fast-paced industries, helping businesses make quick, data-driven decisions, often with automation. By using structured, unstructured , and real-time data, prescriptive AI enables smarter, more proactive decision-making. This is particularly valuable in industries where speed is critical.

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EU AI Act: What businesses need to know as regulations go live

AI News

They must demonstrate tangible ROI from AI investments while navigating challenges around data quality and regulatory uncertainty. After all, isnt ensuring strong data governance a core principle that the EU AI Act is built upon? To adapt, companies must prioritise strengthening their approach to data quality.