Emerging Tech is Dependent on Data

Artificial intelligence (AI) models that are built on consumer data must be built with data privacy in mind. Hesitation is understandable in users of automated systems that collect and use private data, so to remain viable, AI models must incorporate privacy protection into their design. This interesting topic came to us from Technology Magazine in…

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Applying AI in Environmental Decisions

If we’re going to rely on more renewable energy sources, utilities will need better ways of predicting how much energy is needed, both in real time and over the long term. There has been much discussion and debate in the scientific community regarding the efficacy and suitability of machine learning techniques to help improve our understanding of…

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Human vs. Machine

More and more, artificial intelligence (AI) agents trained through machine learning are reaching skill and discernment levels comparable to humans. Mark Tech Post brought this interesting information to our attention in their article, “A New AI Study Reveals Machine-Learning Model Achieves Human-Level Skill in Describing Chemical Smell.“ In the rapidly evolving landscape of technology, the…

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Data: Supply and Demand

Data has never been more powerful, useful, and revelatory as an asset. This is true regardless of the subject matter and includes all types and sources of data, including healthcare data, transaction data, and even human resources data. Human Resource Executive brought this interesting information to our attention in their article, “Your HR data is…

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Toward Openness

Transparency, openness, verification, and reproducibility are important features of research and innovation. Open research helps to support and uphold these features across the whole lifecycle of research – improving public value, research integrity, re-use, and innovation. The Scholarly Kitchen brought this interesting information to our attention in their article, “Guest Post — Why Interoperability Matters for…

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Protecting the Integrity and Security of Your Data

Confidentiality and data security are closely related concepts within the broader field of information security. They are two essential components that help protect sensitive and valuable data from unauthorized access, disclosure, alteration, or destruction. This important topic came to us from Fortune India in their article, “The relationship between confidentiality and data security in informatics.”…

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The Role of Governance

All organizations need to plan the use of data, so that it is handled consistently to support business outcomes. Organizations successfully doing this can be shown to have answered all questions about the data, not only ensuring security and compliance but extracting value and improving business performance. Federal Times brought this interesting information to our…

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Semantic Search & Social Media

Elon Musk is investing in artificial intelligence (AI) and building his own generative AI models. He recently announced they are also working on semantic search for X, formerly Twitter. This news came to us from Social Media Today in their article, “Elon Musk Says Semantic Search Coming Soon to X.” Semantic search in social media…

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Peer Review Under Analysis

Human peer review and artificial intelligence (AI) review are two distinct approaches to evaluating and assessing various types of content, such as research papers, articles, code, or creative works. Each approach has its own advantages and limitations. The Scholarly Kitchen brought this important subject to our attention in their article, “Ending Human-Dependent Peer Review.“ There…

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Improving the AI Comfort Factor

A lot of fear surrounds artificial intelligence (AI). Some is connected to perceived job security and some is related to technology “doomsday” scenarios. The University of Waterloo researchers have developed a new explainable AI model to reduce bias and enhance trust and accuracy in machine learning-generated decision-making and knowledge organization. This interesting information came to…

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