The Importance of Standards in Cybersecurity

Because of the increasing interest in utilizing Earth orbit, denying a competing nation’s access to it is quickly becoming the most dangerous weapon in the stealth world of cyber warfare. Venture Beat brought this interesting information to our attention in their article, “Building more cyber-resilient satellites begins with a strong network.” Satellites are vulnerable to…

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ChatGPT in School?

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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Driving Strategy with Data

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.”…

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Governance Begets Integrity

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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Moving Beyond the Query

Semantic search is a search technique that aims to understand the meaning of a query and provide more relevant search results. It goes beyond traditional keyword-based searches by analyzing the context, intent, and relationships between words. This topic came to us from Fedscoop in their article, “Microsoft launches generative AI service for government agencies.” Instead…

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Focusing the Language Models

Large language models (LLMs) are a type of artificial intelligence (AI) that can mimic human intelligence. They use statistical models to analyze vast amounts of data, learning the patterns and combinations of words and phrases. I recently searched “what is the future of LLMs” on perplexity.ai. This statement jumped out at me: “One potential future for LLMs…

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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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