Remove Artificial Intelligence Remove Data Quality Remove Government
article thumbnail

AI Data Governance Spotlights Privacy and Quality

Dataversity

The emergence of artificial intelligence (AI) brings data governance into sharp focus because grounding large language models (LLMs) with secure, trusted data is the only way to ensure accurate responses. So, what exactly is AI data governance?

article thumbnail

The Cool Kids Corner: The Interplay Between Data Governance and AI

Dataversity

This is my monthly check-in to share with you the people and ideas I encounter as a data evangelist with DATAVERSITY. This month, we’re talking about the interplay between Data Governance and artificial intelligence (AI). Read last month’s column here.)

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Data Quality Dimensions Are Crucial for AI

Dataversity

Since the data from such processes is growing, data controls may not be strong enough to ensure the data is qualitative. That’s where Data Quality dimensions come into play. […]. The post Data Quality Dimensions Are Crucial for AI appeared first on DATAVERSITY.

article thumbnail

From Challenges to Triumph: WaterWipes’ Data Management Revolution with Maextro

Timo Elliott

The session by Liz Cotter , Data Manager for Water Wipes, and Richard Henry , Commercial Director of BluestoneX Consulting, was called From Challenges to Triumph: WaterWipes’ Data Management Revolution with Maextro. Next Steps in Data Management & Governance WaterWipes now has a robust framework to build upon.

article thumbnail

RAG (Retrieval Augmented Generation) Architecture for Data Quality Assessment

Dataversity

A large language model (LLM) is a type of artificial intelligence (AI) solution that can recognize and generate new content or text from existing content. It is estimated that by 2025, 50% of digital work will be automated through these LLM models.

article thumbnail

How Data Will Reshape Industries in 2025

Dataversity

Data has become a driving force behind change and innovation in 2025, fundamentally altering how businesses operate. Across sectors, organizations are using advancements in artificial intelligence (AI), machine learning (ML), and data-sharing technologies to improve decision-making, foster collaboration, and uncover new opportunities.

article thumbnail

How to Ensure Data Quality and Consistency in Master Data Management

Dataversity

This reliance has spurred a significant shift across industries, driven by advancements in artificial intelligence (AI) and machine learning (ML), which thrive on comprehensive, high-quality data.