Posts Tagged ‘Artificial intelligence’
AI’s Economic Impact: Growth, Disruption and the Cost of Hype
The latest artificial intelligence (AI) headlines are shaping more than technology conversations. They are influencing investment, hiring and expectations about economic growth. The result is a powerful mix of opportunity and uncertainty. This interesting topic came to us from Tech Crunch in their article, “The ugly economics of consumer AI.” On the positive side, AI…
Read MoreThe Changing Career Landscape for College Graduates
Artificial intelligence (AI) has and continues to reshape the job market college graduates are entering. While concerns about automation are justified, AI is also creating opportunities for graduates who learn how to work with it rather than compete against it. This timely and important topic came to us from NPR in their article, “Many recent…
Read MoreData 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.…
Read MoreThe 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.”…
Read MoreBeyond 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…
Read MoreData 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…
Read MoreProtecting 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,…
Read MoreWhen 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…
Read MoreWelcome 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…
Read MoreAI 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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