Remove Data Collection Remove Data Governance Remove Structured Data
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What is data governance? Best practices for managing data assets

CIO Business Intelligence

Data governance definition Data governance is a system for defining who within an organization has authority and control over data assets and how those data assets may be used. It encompasses the people, processes, and technologies required to manage and protect data assets.

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When is data too clean to be useful for enterprise AI?

CIO Business Intelligence

Good data governance has always involved dealing with errors and inconsistencies in datasets, as well as indexing and classifying that structured data by removing duplicates, correcting typos, standardizing and validating the format and type of data, and augmenting incomplete information or detecting unusual and impossible variations in the data.

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3 things to get right with data management for gen AI projects

CIO Business Intelligence

Collect, filter, and categorize data The first is a series of processes — collecting, filtering, and categorizing data — that may take several months for KM or RAG models. Structured data is relatively easy, but the unstructured data, while much more difficult to categorize, is the most valuable.

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Deep automation in machine learning

O'Reilly on Data

Data management isn’t limited to issues like provenance and lineage; one of the most important things you can do with data is collect it. Given the rate at which data is created, data collection has to be automated. How do you do that without dropping data? Toward a sustainable ML practice.

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8 data strategy mistakes to avoid

CIO Business Intelligence

“IT leaders should establish a process for continuous monitoring and improvement to ensure that insights remain actionable and relevant, by implementing regular review cycles to assess the effectiveness of the insights derived from unstructured data.” This type of environment can also be deeply rewarding for data and analytics professionals.”

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Why CIOs should embrace the potential of data and analytics enablement platforms for a brighter future

CIO Business Intelligence

Setting the course: The importance of clear goals when evaluating data and analytics enablement platforms Improving credit decisioning for financial institutions Say you’re a bank looking to leverage the tremendous growth in small business through lending. That’s a big lift, both in terms of operational expense and regulatory exposure.

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A Guide to CCPA Compliance and How the California Consumer Privacy Act Compares to GDPR

erwin

Data governance , thankfully, provides a framework for compliance with either or both – in addition to other regulatory mandates your organization may be subject to. CCPA Compliance Requirements vs. Publicly available personal information (federal, state and local government records). Data Governance for Regulatory Compliance.