Generative Intelligence in Academic Publishing
With all the focus on generative intelligence and the misinformation spreading, what are the real benfits and concerns for academic publishing? The Scholarly Kitchen brought this interesting topic to our attention in their article, “Who Is Going to Make Money from Artificial Intelligence in Scholarly Communications?“ There are extensive lists of benefits, but primarily for…
Read MoreBig Data and Powerful Analytics
The rise of big data has transformed the way organizations make decisions. With the exponential growth of data, companies are able to collect and analyze vast amounts of information in real-time to gain insights into customer behavior, market trends, and operational efficiency. This has led to a shift from traditional decision-making processes to data-driven decision-making,…
Read MoreExploring Generative AI
Elon Musk is throwing his hat in the artificial intelligence (AI) arena. He recently announced he has started an artificial intelligence platform called xAI, which says its mission is to “understand the true nature of the universe.” He also is sharing his plans to start a rival to ChatGPT called Truth GPT. This interesting news came to us from…
Read MoreAn Explainability Problem with AI
The key advantage of artificial intelligence (AI) is its ability to simulate human reasoning and react quickly to multiple streams of input. This is also its drawback, since the complexity of the AI decision-making process is often not transparent. Complex machine learning models in AI, such as deep neural networks, are often black boxes. The lack of…
Read MoreLayers of Learning Technology
Deep learning is a machine learning technique that teaches computers to do what comes naturally to humans – learning by example. Venture Beat brought this information to us in their article, “This is what makes deep learning so powerful.” Deep learning is a key technology behind driverless cars, enabling them to recognize a stop sign…
Read MoreIntegrity is Important
Data integrity is of paramount importance in business decision-making. Improving data integrity involves implementing measures to ensure the accuracy, consistency, and reliability of data throughout its lifecycle. CMS Wire brought this interesting topic to us in their article, “Maximizing AI and Machine Learning with Quality Data.” In conjunction with data integrity, establishing robust data governance practices…
Read MoreData – The Invisible Asset
Data is swiftly overtaking physical assets in terms of value to organizations. Keeping data safe, private, consistent and of high quality is as important to enterprises today as maintaining factory machinery was in the industrial age. Tech Target brought this interesting topic to our attention in their article. “Enhance data governance with distributed data stewardship.”…
Read MoreData Integrity in Healthcare
Health equity data analysis provides valuable information by collecting and analyzing local data regarding imbalances in the health care system. 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 health…
Read MoreData Driven and Equitable
Data equity refers to the fair and just distribution of data resources and benefits across individuals and groups within a society or organization. It is based on the principle that data should be accessible, inclusive, and unbiased, and that the benefits derived from data should be shared equitably among all stakeholders. FCW brought this interesting…
Read MoreClassifying With AI
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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