How Emerging Technology Is Reshaping Cloud Computing

Cloud computing has been one of the defining technologies of the digital era, giving organizations access to computing power, storage and applications without requiring them to build and maintain everything themselves. Now artificial intelligence (AI) is changing that equation again. AI is not simply another workload moving to the cloud. It is influencing how cloud…

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Better Data, Better Intelligence

Artificial intelligence (AI) may get the headlines, but its effectiveness still depends on something far less glamorous: data. That is where FAIR data becomes increasingly important. This interesting topic came to us from Nature in their article, “Advancing FAIR data towards comparable, organized, predictive AI-ready data for community validation.” FAIR stands for Findable, Accessible, Interoperable…

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From Information to Action: Turning Data into Better Decisions

Organizations today have access to more data than ever before. Customer behavior, operational performance, financial trends, market activity and employee insights can all be measured and analyzed. But having data and making good decisions with it are two very different things. This interesting topic came to us from IDB in their article, “How Can Governments…

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Peer Review in the Age of AI: Is It Time for an Upgrade?

For generations, peer review has been a cornerstone of scholarly publishing. Before research enters the academic record, experts evaluate its methodology, evidence, originality and conclusions. The system is imperfect, but its purpose remains essential: protecting the credibility and integrity of scholarship. The Scholarly Kitchen brought this interesting topic to our attention in their article,”Guest Post…

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Data Layers and Semantic Layers: Where AI Finds Meaning

Artificial intelligence (AI) depends on data, but having access to enormous amounts of data does not automatically mean an AI system understands what that data means. That distinction helps explain the relationship between two important components of modern AI applications: the data layer and the semantic layer. DATAVERSITY brought this topic to our attention in…

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Deep Learning: How AI Is Expanding the Reach of Machine Intelligence

Artificial intelligence (AI) is often discussed as though it is a single technology. In reality, AI is an umbrella encompassing many approaches designed to enable computers to perform tasks that traditionally required human intelligence. Machine learning sits beneath that umbrella, and deep learning is a specialized and increasingly powerful branch of machine learning. Understanding the…

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When Meaning Meets Machines: AI, Semantics and Knowledge Graphs

Semantics and knowledge graphs have been quietly doing important work for years. Semantics helps systems understand that words, concepts and context are related. Knowledge graphs turn those relationships into structured networks of people, places, products, ideas and facts. This interesting topic came to us from Bio-IT World in their article, “Trends from the Trenches: Why…

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AI Agents Need Data Governance and Data Governance Needs to Keep Up

Artificial intelligence (AI) agents are changing how organizations interact with data. Unlike traditional AI tools that primarily analyze information or generate responses, agents can take action: retrieving data, making decisions, initiating workflows and interacting with other systems with limited human intervention. This topic came to us from CIO in their article, “Why AI agents will…

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Digital Literacy in a Rapidly Changing Technology Landscape

Digital literacy has evolved far beyond knowing how to use a computer, navigate a website or send an email. In today’s technology environment, it means understanding how digital systems influence the information we consume, the decisions we make and the ways we work. This topic came to us from Nature in their article, “How digital…

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