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The state of data quality in 2020

O'Reilly on Data

We suspected that data quality was a topic brimming with interest. The responses show a surfeit of concerns around data quality and some uncertainty about how best to address those concerns. Key survey results: The C-suite is engaged with data quality. Data quality might get worse before it gets better.

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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 DataOps Vendor Landscape, 2021

DataKitchen

We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . QuerySurge – Continuously detect data issues in your delivery pipelines. OwlDQ — Predictive data quality.

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Beyond the hype: Do you really need an LLM for your data?

CIO Business Intelligence

This type of complex, multi-modal data analysis, where structured and unstructured data converge, is precisely where LLMs can shine. Its about investing in skilled analysts and robust data governance. It also means establishing clear data governance frameworks to ensure data quality, security and ethical use.

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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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What gives IT leaders pause as they look to integrate agentic AI with legacy infrastructure

CIO Business Intelligence

When Indiciums AI agents, for instance, try to access data, the company tracks the request back to its source, that is, the person who asked the question that set off the entire process. At IT consultant CDW, one area where AI agents are already being used is to help staff respond to requests for proposals.

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