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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. The results are in!

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Fine-tuning large language models (LLMs) for 2025

Dataconomy

Data preparation for LLM fine-tuning Proper data preparation is key to achieving high-quality results when fine-tuning LLMs for specific purposes. Importance of quality data in fine-tuning Data quality is paramount in the fine-tuning process.

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Key Data Integrity Trends and Insights for Your 2025 Strategy

Precisely

This means it’s more important than ever to make data-driven decisions, cut costs, and improve efficiency. Get your copy of the full report for all the strategic insights you need to build a winning data strategy in 2025. Data quality is the top data integrity challenge for 64% of organizations this year, up from 50% last year.

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RAG (Retrieval Augmented Generation) Architecture for Data Quality Assessment

Dataversity

It is estimated that by 2025, 50% of digital work will be automated through these LLM models. At their core, LLMs are trained on large amounts of content and data, and the architecture […] The post RAG (Retrieval Augmented Generation) Architecture for Data Quality Assessment appeared first on DATAVERSITY.

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Expert Insights for Your 2025 Data, Analytics, and AI Initiatives

Precisely

Key Takeaways: Data integrity is required for AI initiatives, better decision-making, and more – but data trust is on the decline. Data quality and data governance are the top data integrity challenges, and priorities. Plan for data quality and governance of AI models from day one.

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2025 Planning Insights: The Rise of AI is Hampered by a Lack of Data Readiness

Precisely

Data analysis (57%) is the top-cited reason organizations are considering the use of AI. The top data challenge inhibiting the progress of AI initiatives is data governance (62%). The 2025 Outlook: Data Integrity Trends and Insights report is here! What are the latest data integrity trends you need to know about?

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Expert Insights for Your 2025 Data, Analytics, and AI Initiatives

Precisely

Key Takeaways: Data integrity is required for AI initiatives, better decision-making, and more – but data trust is on the decline. Data quality and data governance are the top data integrity challenges, and priorities. Plan for data quality and governance of AI models from day one.