Remove Government Remove Manufacturing Remove Metadata
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Why data observability is essential to AI governance

erwin

Will the new creative, diverse and scalable data pipelines you are building also incorporate the AI governance guardrails needed to manage and limit your organizational risk? Metadata is the basis of trust for data forensics as we answer the questions of fact or fiction when it comes to the data we see.

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FAIR Data Principles in Life Sciences: A case for Data Intelligence Cloud

Collibra

At its core, FAIR aims to break down data silos by providing guidelines to make data: Findable – metadata and data should be searchable and should be easily located. Accessible – metadata and data should be accessible to users. Additionally, metadata should include qualified references to other metadata.

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erwin Recognized as a March 2020 Gartner Peer Insights Customers’ Choice for Metadata Management Solutions

erwin

We’re excited about our recognition as a March 2020 Gartner Peer Insights Customers’ Choice for Metadata Management Solutions. The solutions work in tandem to automate the processes involved in harvesting, integrating, activating and governing enterprise data according to business requirements.

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How data stores and governance impact your AI initiatives

IBM Big Data Hub

Depending on where an organization conducts business, it will need to comply with any number of government regulations regarding where data is stored and how an AI model uses data to perform its tasks. Among the tasks necessary for internal and external compliance is the ability to report on the metadata of an AI model.

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erwin’s Predictions for 2021: Data Relevance Shines at the End of the Tunnel

erwin

As businesses migrate from legacy systems to the cloud, data governance and data intelligence will become increasingly relevant to the C-suite and tools to automate and expedite the process will take center stage. However, that definition is too narrow in terms of AI’s relation to data governance.

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What’s Business Process Modeling Got to Do with It? – Choosing A BPM Tool

erwin

With business process modeling (BPM) being a key component of data governance , choosing a BPM tool is part of a dilemma many businesses either have or will soon face. Historically, BPM didn’t necessarily have to be tied to an organization’s data governance initiative. Choosing a BPM Tool: An Overview.

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Fostering data innovation with data quality and governance

Collibra

If the manufacturing costs are going up, they want to find the problematic step in the manufacturing process. It needs mature data practices founded on data governance. How data governance and data quality foster innovation. Supported by governed data practices, they open up unlimited opportunities for innovation.