Data Science and AI: Partners, Rivals or a Problem We Haven’t Fully Considered?

Data science and artificial intelligence (AI) are frequently presented as natural partners. Data science gathers, cleans and interprets information; AI uses that information to generate predictions and automate decisions. It sounds like a beautifully efficient relationship, but is it? AI cannot function effectively without data science. Models need relevant, reliable and well-governed data to learn.…

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The AI Gold Rush

Companies large and small are pouring significant capital into artificial intelligence (AI). New platforms, enterprise licenses, AI agents, infrastructure and consulting engagements are appearing in budgets at a remarkable pace. The Washington Post brought this important topic to our attention in their article, “The biggest gamble in the U.S. economy is starting to look riskier.”…

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Beyond the Chatbot: How Machine Learning Is Changing the Classroom

Much of the conversation about artificial intelligence (AI) in education has centered on generative AI: students using ChatGPT to write essays, teachers experimenting with AI-generated lesson plans and administrators debating where the technology belongs. But behind those highly visible applications, another form of AI has been quietly finding its place in classrooms for years: machine…

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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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Protecting the Past: Historians Are Calling for AI Governance

Artificial intelligence (AI) is giving historians powerful new ways to explore the past. AI can analyze enormous collections of documents, identify patterns across archives, transcribe handwritten materials, translate texts and uncover connections that might otherwise take researchers years to find. The Guardian brought us this important topic in their article, “Historians advocate binding AI rules,…

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When the Data Has to Hold Up in Court

Artificial intelligence (AI) is rapidly changing the legal profession. From contract review and e-discovery to legal research, case analysis, document drafting — the list goes on and on – AI can process enormous amounts of information far faster than a human team. This pertinent topic came to us from Wolters Kluwer in their article, “Would…

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Welcome to the Data Quality Conversation. We’ve Been Expecting You.

There is exciting news in the world of artificial intelligence (AI). Some of the largest corporations on the planet have recently discovered that AI needs good data to work properly. CU Today brought this subject to us in their article, “Bank Of America CEO Says AI’s Biggest Challenge Isn’t Technology—It’s Data Quality.“ We’ll give everyone…

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AI Works Best on Its Own Terms

Artificial intelligence (AI) has become a powerful tool for organizations seeking insights, efficiency and competitive advantage. However, many AI initiatives struggle not because the technology is flawed, but because organizations expect AI to work with data that was never designed for intelligent systems. This interesting and important topic came to us from CDO Trends in…

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AI and the Historical Promise of Technology: Why This Time Might Be Different

For centuries, new technologies have followed a familiar pattern: they disrupt existing jobs, create new opportunities and ultimately expand the workforce in ways few could have predicted. The Industrial Revolution eliminated many forms of manual labor while creating factories, engineering professions, transportation networks and entirely new industries. Mechanization reduced the need for agricultural workers but…

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AI Won’t Replace Everyone, But It Will Change Everything

Few topics generate more anxiety today than artificial intelligence (AI) and its potential impact on jobs. Headlines often focus on automation replacing workers, which increases the concerns that entire professions could disappear as AI systems become more capable. While these concerns are understandable, history suggests a subtly nuanced reality. This interesting topic came to us…

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