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Semantic Search Is Only as Smart as Its Governance
Semantic search promised more than traditional keyword search: an understanding of meaning, context and intent. Instead of matching exact words, it can connect a question with relevant information even when the language differs. But that intelligence depends on more than a fancy new model. It depends on well-governed data. MarTech brought this topic to our…
Read MoreThere’s More Where That Came From
There is no shortage of information about data and artificial intelligence (AI). There is, however, a shortage of information that actually helps you decide what to do next. Every week brings another development in AI, data governance, taxonomy, metadata, search and information management. New tools appear. New terminology catches fire. And occasionally, an old idea…
Read MoreQuantum Meets the Cloud: A Powerful but Imperfect Partnership
Quantum computing and cloud computing may sound like competing visions of the future, but they are increasingly being developed as partners. The cloud provides access and quantum systems provide specialized processing power. Together, they could make an emerging technology available without requiring every organization to build and maintain an extraordinarily and ridiculously expensive quantum computer.…
Read MorePredictive AI and Explainable AI: Understanding the Difference
Predictive artificial intelligence and explainable AI serve different but complementary purposes. Where one focuses on forecasting outcomes, the other helps people understand how an AI system gets to its conclusions. Tech eXplore brought this topic to us in their article, “Explainable AI could help turn hidden data patterns into testable scientific hypotheses.” Predictive AI analyzes…
Read MoreWhen AI Becomes the Decision-Maker
Artificial intelligence (AI) can analyze enormous amounts of information, identify patterns and produce recommendations faster than any human team. That power makes it tempting to allow AI to move from supporting decisions to effectively making them. When organizations over-rely on those outputs, however, efficiency can come at the expense of judgment. This interesting topic came…
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 MoreIt’s Probably Your Data
When an artificial intelligence (AI) initiative underperforms, the model is often the first thing blamed. Maybe the algorithm isn’t sophisticated enough. Maybe the platform is wrong. Maybe the organization needs a newer, more powerful model. This interesting and important topic came to us from CIO in their article, “Your AI model isn’t the problem. Your…
Read MoreWhy AI Makes a Data Strategy More Important Than Ever
Artificial intelligence (AI) may be changing what organizations can do with data, but it hasn’t changed one fundamental truth: AI is only as effective as the data behind it. That makes a strong data strategy more important than ever. This interesting topic came to us from Dataversity in their article, “Your Data Strategy Isn’t Ready…
Read MoreMetadata Integrity Matters, Too
Publishers have long understood the importance of data integrity: information must be accurate, consistent and reliable. But as publishing workflows become more automated and increasingly influenced by artificial intelligence (AI), another concept deserves equal attention: metadata integrity. Science Partner Journals brought this topic to our attention in their article, “Metadata integrity in bioinformatics: Bridging the…
Read MoreSemantic Layering Meets Agentic AI: Giving AI Context to Act
Agentic artificial intelligence promises systems that can do more than answer questions. AI agents can interpret goals, make decisions, use tools, retrieve information and take actions with limited human intervention. But giving AI greater autonomy raises an important question: Does it actually understand the data it is acting on? This topic was brought to us…
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