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Information Governance Innovations in 2019

Everteam

The intersection of Structured and Unstructured Data. Today there is a clear separation on how you manage structured data (database, transactional data) and unstructured data (documents, text, videos, images, email, social media, etc.). Data on legal hold = <1%. Why is this important?

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Do I Need a Data Catalog?

erwin

A data catalog uses metadata, data that describes or summarizes data, to create an informative and searchable inventory of all data assets in an organization. Another classic example is the online or card catalog at a library. Clearly documents data catalog policies, rules and shares information assets.

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Get Governed by Morgan Templar (A Review)

Information is Currency

The last seven chapters are the second part of the book which defines what makes for a successful data governance projects and the essentials for building a world class data governance program. The benefits of a robust data governance are the same as that of information governance.

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Part 2: OMG! Not another digital transformation article! Is it about the evolution from RIM to Content Services?

ARMA International

This “anytime, anywhere” aspect is possible by merging traditional RIM practices of document and records lifecycle management and DT, but with a focus on how to “package” the content to deliver a product or service. The farmer can use AI to evaluate the results and then, based on data, decide to repeat or modify the process.

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How generative AI delivers value to insurance companies and their customers

IBM Big Data Hub

IBM’s watsonx.ai™ foundation model library contains both IBM-built foundation models, as well as several open-source large language models (LLMs) from Hugging Face. Foundation models are becoming an essential ingredient of new AI-based workflows, and IBM Watson® products have been using foundation models since 2020.

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