Integrity is at the Core of Quality Data

Data integrity is a broad discipline that influences how data is collected, stored, accessed, and used. The idea of integrity is a central element of many regulatory compliance frameworks, such as the General Data Protection Regulation (GDPR). It is the assurance that digital information is uncorrupted and can only be accessed or modified by those authorized to…

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Taking Advantage of Semantic Technology

Graph databases work in conjunction with semantic technology to enhance data management and analysis. City Life brought this interesting topic to our attention in their article, “The Role of Graph Databases in Knowledge Graphs and Semantic Web.” Graph databases are designed to store and represent data in the form of nodes and relationships, which makes…

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How AI Classifies

Classification plays an important role in many applications of artificial intelligence (AI) such as image recognition, speech recognition, and natural language processing. This interesting information came to us from an ABC affiliate out of Australia in their article, “Artificial intelligence technologies could be classified by risk, as government consults on AI regulation.” In AI, classification…

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Understanding the Data

With the rapid expansion of data across multiple clouds, it is challenging for companies to manually track all the data systems and data that exists within their organization. This interesting topic came to us from Security Boulevard in their article, “Improve Data Understanding, Accessibility, & Control With an Automated Data Catalog.” Business and technical users…

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Managing Human Skills with Taxonomies

When it comes to employees, organizations need to remember the variations in learning of their workforces and reskill their employees in a way to keep up with the changing technology and culture. Surprisingly enough, taxonomies can help. This interesting topic came to us from ATD Education in their article, “Putting Taxonomies to Work: Skills Tagging…

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Using Taxonomies for Understanding

Researchers are striving to improve the interpretability of features so decision makers will be more comfortable using the outputs of machine learning models. They have developed a taxonomy to help developers craft features that will be easier for their target audience to understand. This interesting information came to us from Science Daily in their article,…

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Technology in Marketing

The future of marketing is driven by technology, data, and consumer behavior. There are also strong emphases on delivering personalized, engaging, and socially responsible experiences for customers. What does this mean to day-to-day data management? Business Day brought this interesting information to us in their article, “Technology, data, consumer behaviour driving future of marketing –…

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Can You See the Data?

The more data you have from different sources and stored in different spaces, the more likely it is to be scattered. This interesting information came to us from Blocks and Files in their article, “Data fragmentation needs a data intelligence fix.” Data visibility means knowing what data you have and where it came from, and…

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