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What Is Data Literacy?

erwin

Data Literacy Definition. Gartner defines data literacy as the ability to read, write and communicate data in context, including an understanding of data sources and constructs, analytical methods and techniques applied — and the ability to describe the use case, application and resulting value.

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Five benefits of a data catalog

IBM Big Data Hub

In other words, a data catalog makes the use of data for insights generation far more efficient across the organization, while helping mitigate risks of regulatory violations. With a data catalog, Alex can discover data assets she may have never found otherwise. Protected and compliant data.

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BRIDGEi2i Newsletter: July 2021 Recap

bridgei2i

From being a pure-play analytics startup in a garage to a global AI partner for Fortune 500 companies… It’s been a remarkable and rewarding journey so far! The emergence of IoT, cloud computing, and big data analytics combined with AI tech has brought enterprises to a tipping point in their journey towards making AI real.

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How to Build a Successful Metadata Management Framework

Alation

This is where metadata, or the data about data, comes into play. Having a data catalog is the cornerstone of your data governance strategy, but what supports your data catalog? Your metadata management framework provides the underlying structure that makes your data accessible and manageable.

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The importance of data ingestion and integration for enterprise AI

IBM Big Data Hub

Companies still often accept the risk of using internal data when exploring large language models (LLMs) because this contextual data is what enables LLMs to change from general-purpose to domain-specific knowledge. In the generative AI or traditional AI development cycle, data ingestion serves as the entry point.

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Constructing A Digital Transformation Strategy: Putting the Data in Digital Transformation

erwin

Therefore, an automation framework for data management has to be part of the foundations of a digital transformation strategy. Your organization won’t be able to take complete advantage of analytics tools to become data-driven unless you establish a foundation for agile and complete data management.