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It’s 2025. Are your data strategies strong enough to de-risk AI adoption?

CIO Business Intelligence

This challenge has been recognised by the Australian Federal Government, with Industry and Science Minister Ed Husic announcing in September the creation of a set of voluntary AI guidelines, with consultation on whether these should be mandated in high-risk areas. AI thrives on clean, contextualised, and accessible data.

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The state of data quality in 2020

O'Reilly on Data

They don’t have the resources they need to clean up data quality problems. The building blocks of data governance are often lacking within organizations. These include the basics, such as metadata creation and management, data provenance, data lineage, and other essentials. And that’s just the beginning.

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Why Your Data Governance Strategy is Failing

Alation

What is data governance and how do you measure success? Data governance is a system for answering core questions about data. It begins with establishing key parameters: What is data, who can use it, how can they use it, and why? Why is your data governance strategy failing?

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Data Governance Stock Check: Using Data Governance to Take Stock of Your Data Assets

erwin

GDPR) and to ensure peak business performance, organizations often bring consultants on board to help take stock of their data assets. This sort of data governance “stock check” is important but can be arduous without the right approach and technology. That’s where data governance comes in ….

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Top 10 Metadata Management Influencers, Sites, and Blogs You Must Follow in 2021

Octopai

Aptly named, metadata management is the process in which BI and Analytics teams manage metadata, which is the data that describes other data. In other words, data is the context and metadata is the content. Without metadata, BI teams are unable to understand the data’s full story.

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What is a data architect? Skills, salaries, and how to become a data framework master

CIO Business Intelligence

Application data architect: The application data architect designs and implements data models for specific software applications. Information/data governance architect: These individuals establish and enforce data governance policies and procedures.

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Navigating the Data Maze: Top Trends in Data Intelligence for 2025

BI-Survey

Before the ChatGPT era transformed our expectations, Machine Learning was already quietly revolutionizing data discovery and classification. Now, generative AI is taking this further, e.g., by streamlining metadata creation. The traditional boundary between metadata and the data itself is increasingly dissolving.