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Why Your Master Data Management Needs Data Governance

Precisely

As this realization grows, businesses are shifting their investments from hardware to technologies that optimize data assets. Master Data Management systems (MDM) play an important role in harmonizing data assets across large and midsize enterprises. Which business functions are using which set(s) of data?

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In AI we trust? Why we Need to Talk About Ethics and Governance (part 2 of 2)

Cloudera

Surely there are ways to comb through the data to minimise the risks from spiralling out of control. In 2019, the Gradient institute published a white paper outlining the practical challenges for Ethical AI. This often requires strong data governance, management and lineage controls together with mature ML operational practices.

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Mainframe Data: Empowering Democratized Cloud Analytics

Precisely

Consequently, managers now oversee IT costs for their operations and engage directly in cloud computing contracts. This shift has influenced how cloud resources are designed and marketed, focusing on easy access, modularity, and straightforward deployment. Data integrity is also essential.

Cloud 72
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Self-Service as a Productivity Enabler for Experts

The Modern Data Company

Maximizing the Value of Self Service Tools…For All Users To get the most from self-service tools, it is necessary to have access to a broad range of data and to have the tools plug into existing governance mechanisms. Is there a way to make this easier? That’s a strong value proposition worth understanding and exploring.