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Information Management, AI, and Cloud Computing – Oh My
The popularity of artificial intelligence (AI) and the expansion of cloud computing is leaving an impression in the information management world. Using AI in the cloud can improve cloud performance and efficiency while driving digital transformation in enterprises. The Scholarly Kitchen brought this interesting information to our attention in their article, “Guest Post — Leveraging…
Read MoreSelf-Identification of AI
Since OpenAI first launched ChatGPT in November 2022, there have been concerns surrounding plagiarism. These revolve mostly around copyright and intellectual property but also focus on the consequences of propagating errors in serious fields, such as in academic writing. This interesting news came to us from IEEE Spectrum in their article, “Machine-Learning Tool Easily Spots ChatGPT’s Writing.“ In…
Read MoreAnalytics are Critical in Healthcare
Data analytics is the process of analyzing raw data for the purpose of determining trends and enabling better decision making. It is relevant to all types of organizations. In health care it is vital. This interesting and important topic came to us from Healthcare in their article, “How healthcare analytics tools enhance quality care.“ By leveraging…
Read MoreCybesecurity Concerns with ChatGPT
ChatGPT is a natural language processing tool driven by artificial intelligence (AI) technology that allows you to have human-like conversations and more with a chatbot. Usage is currently open to the public free of charge, because ChatGPT is in its research and feedback-collection phase. This interesting topic came to us from Axios in their article, “New AI wave will find uses…
Read MoreGenerative 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…
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