It’s All Semantics

Semantic technology refers to the field of computer science that focuses on understanding and representing the meaning of information in a machine-readable way. It involves techniques for structuring, organizing, and linking data to enable machines to understand the context and relationships between different concepts. Times Higher Education brought this interesting topic to our attention in…

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Fighting Cybercrime with Data

Cybersecurity is the discipline of deploying software tools and technologies to safeguard computing systems against cyberattacks, both external and internal. Data analytics can augment cybersecurity and predict data breaches through the application of methods and technology against advanced, evolving cyber threats. CompTIA brought this interesting information to us in their article, “Cybersecurity and Data Analytics: Double Dipping on Two…

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Technology and the Environment

2023 is a pivotal year for organizations, both as technologies emerge and advance and as 5G enables innovation and revolutionary models of connectivity. There continues to be growth in many areas, including robotics, 5G, green technology, and digital skills and reskilling. This interesting topic came to us from Bizz Buzz in their article, “How these…

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AI and Health Equity

Health equity data analysis provides information on how to think about, collect, and analyze local data related to health equity, and it provides a starting point for understanding how to document health inequities. This interesting information came to us from Healthcare DIVE in their article, “How data and AI can advance health equity.” As pervasive…

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Using VR in Research

Virtual reality (VR) is a technology that opened many doors for researchers and entrepreneurs. There are countless examples of scientists using this new technology either to develop it further or to experiment with various attempts at its application. Science News brought this interesting information to us in their article, “Virtual and augmented reality: Researchers pioneer process to…

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Improving Findability with Taxonomies

The primary goal of classification is to provide a systematic and efficient way of organizing information, such that it can be easily retrieved, searched, and understood. Classification in information science plays a crucial role in organizing and managing large volumes of information, enabling efficient access, retrieval, and analysis, and ultimately helping users make sense of…

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Managing the Data for Findability

As organizations continue to rely on more and more data to drive growth and stay ahead of the competition, effective data management has become essential. This interesting information came to us from IT Web in their article, “Unleash data power with the right tech tools.” From data integration and quality to analytics and governance, businesses…

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Investing in Marketing Technology

Machine learning is revolutionizing advertising by leveraging data-driven insights and automation to optimize targeting, placement, ad creatives, pricing, and fraud detection. It enables advertisers to deliver more relevant and effective ads to the right audience, resulting in higher engagement, conversion rates, and return on investment. This interesting topic came to us from Ad Age in…

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Quality and Integrity

Data integrity is the basis of any decision made using data, and one way to insure it is through a comprehensive and solid data governance strategy and policy. MarkTech Post brought this subject to our attention in their article, “What is Data Governance? Top Data Governance Tools for Data Science and Machine Learning Research in…

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