The More Technology Changes, the More Findability Matters

Over the past decade, emerging technologies have transformed nearly every aspect of how we create, manage and access information. Artificial intelligence (AI), machine learning, cloud computing, automation and natural language processing have shifted from futuristic concepts to everyday business tools. Entire industries have been rebuilt around predictive analytics, generative AI and massive-scale data processing. Information…

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The Security Playing Field Has Changed

Large Language Models (LLMs) and artificial intelligence (AI) are reshaping the cybersecurity landscape, for better and for worse. On the defensive side, AI is enhancing threat detection by analyzing massive datasets in real time, identifying anomalies and predicting potential attacks before they occur. Security teams are using AI-driven tools to automate routine tasks, respond faster…

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Keeping AI Smart, Ethical and Accountable

Artificial intelligence (AI) is moving fast. The problem is that a lot of organizations are still trying to manage AI with governance frameworks built for a much simpler world of spreadsheets, databases and traditional software. AI doesn’t just store information or follow fixed instructions. It learns, adapts and sometimes makes decisions in ways that are…

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The Real Problem Behind Bad AI Results? Your Data Is a Mess

Organizations are producing more data than ever before, but much of it is trapped in disconnected systems, duplicated across platforms or buried in formats that do not communicate well with each other. The result is fragmented data, and it continues to be one of the biggest obstacles in modern information management. Martech brought this interesting…

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AI Is Only as Smart as the Data Behind It

Artificial intelligence (AI) has become the shiny new object in nearly every industry. Companies are racing to plug AI into workflows, automate decisions and promise revolutionary results. But there is one inconvenient truth sitting quietly behind all the hype: AI is not magic. It is math fueled by data. And if the data is a…

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Data Governance and Change Management: The Twin Engines of a Data-Driven Organization

Every organization wants to be data driven until it realizes that becoming data driven is not actually a technology project. It is a people project supported by technology. Dashboards, analytics platforms and artificial intelligence (AI) tools may grab the attention, but none of them create meaningful change without two critical components working together: data governance…

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AI Among the Stars

Artificial intelligence (AI) is becoming one of the most important technologies in modern space exploration. From autonomous satellites and predictive maintenance to deep space navigation and military surveillance, AI is helping space agencies and private companies operate faster and more efficiently than ever before. But as AI becomes more embedded in space systems, security concerns…

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When Bad Data Starts Costing Real Money

Most organizations love to talk about being data driven. Fewer organizations want to talk about the spreadsheets held together with hope, duplicated records nobody trusts and mystery field labels. Yet that messy reality is exactly why data quality platforms have become less of a luxury and more of a survival tool. Tech Target brought this…

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From Algorithms to Hallucinations: How AI Created a New Business Vocabulary

Artificial intelligence (AI) has not only transformed technology and business operations, it has also introduced an entirely new language into the workplace. Terms that once lived primarily in research labs or science fiction are now appearing in board meetings, marketing plans, compliance discussions and coffee-break conversations. Suddenly, everyone is talking about prompts, embeddings, vectors and…

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