Remove 2008 Remove Data Governance Remove Metadata
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Accelerating AI at scale without sacrificing security

CIO Business Intelligence

Above all, robust governance is essential. Failing to invest in data governance and security practices risks not only regulatory lapses and internal governance violations, but also bad outputs from AI that can stunt growth, lead to biased outcomes and inaccurate insights, and waste an organization’s resources.

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Expanding data analysis and visualization options: Amazon DataZone now integrates with Tableau, Power BI, and more

AWS Big Data

After connecting, you can query, visualize, and share datagoverned by Amazon DataZone—within the tools you already know and trust. Publish data assets – As the data producer from the retail team, you must ingest individual data assets into Amazon DataZone. Lionel Pulickal is Sr. Solutions Architect at AWS

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Collibra Provides a Platform for Data Intelligence

David Menninger's Analyst Perspectives

I assert that through 2027, three-quarters of enterprises will be engaged in data intelligence initiatives to increase trust in their data by leveraging metadata to understand how, when and where data is used in their organization, and by whom. Regards, Matt Aslett

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How Novo Nordisk built distributed data governance and control at scale

AWS Big Data

The first post of this series describes the overall architecture and how Novo Nordisk built a decentralized data mesh architecture, including Amazon Athena as the data query engine. The third post will show how end-users can consume data from their tool of choice, without compromising data governance.

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Themes and Conferences per Pacoid, Episode 12

Domino Data Lab

In this episode I’ll cover themes from Sci Foo and important takeaways that data science teams should be tracking. First and foremost: there’s substantial overlap between what the scientific community is working toward for scholarly infrastructure and some of the current needs of data governance in industry. We did it again.”.

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Data Science, Past & Future

Domino Data Lab

data science’s emergence as an interdisciplinary field – from industry, not academia. why data governance, in the context of machine learning is no longer a “dry topic” and how the WSJ’s “global reckoning on data governance” is potentially connected to “premiums on leveraging data science teams for novel business cases”.