Posts Tagged ‘Data governance’
Preparing Data for AI: The Difference Between Retrieval and Understanding
Artificial intelligence (AI) is only as effective as the data it can access and interpret. While organizations are rushing to deploy AI tools, many overlook a critical reality: feeding large volumes of information into an AI system does not automatically make that information useful. CIO brought this topic to us in their article, “7 signs…
Read MoreThe Missing Ingredient in the Race to AI
The race to artificial intelligence (AI) is often framed as a competition for faster models, bigger computing environments and more sophisticated algorithms. Organizations invest in machine learning platforms, large language models (LLMs) and automation tools, hoping to gain some advantage. Yet, one critical factor is often overlooked: data accountability. AI systems are only as trustworthy…
Read MoreQuality is Key for Responsible AI
Generative artificial intelligence (GenAI) is a subset of artificial intelligence (AI). It has moved quickly from experimentation to everyday use, reshaping how organizations create, analyze and communicate. At the center of this shift is data. The quality and oversight of that data now directly influence how reliable and responsible AI outputs can be. This makes…
Read MoreThe 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…
Read MoreAI 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…
Read MoreData 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…
Read MoreBuilding a Data Culture People Will Actually Use
Let’s be honest. Most people do not wake up excited about data governance. No one is lighting candles around a beautifully organized spreadsheet whispering, “Ah yes, metadata.” But organizations that treat data seriously almost always function better, move faster and make smarter decisions. This important topic came to us from CIO in their article, “What…
Read MoreData and AI Governance: Why They Must Work Together
Artificial intelligence (AI) may be the shiny new engine driving innovation, but data remains the fuel. And like any high-powered machine, the quality of the fuel matters. Organizations rushing to adopt AI are quickly discovering that AI governance and data governance are not separate conversations. They are deeply interconnected disciplines that must work together to…
Read MoreGenerative AI: Exciting, Impressive and Occasionally a Little Chaotic
Generative AI (GenAI) has quickly become one of the most talked-about technologies in business, and honestly, it is easy to see why. It can write content, summarize information, help develop software, automate repetitive tasks and uncover insights in seconds that might have taken humans hours or days. Whether you love it, fear it or are…
Read MoreMapping the Lifeblood of Business
Data moves through modern businesses like electricity through a city grid. It powers customer service, finance, analytics and now increasingly, artificial intelligence (AI). But many organizations still do not fully understand where their data originates, where it travels, who touches it or how it changes along the way. In the age of AI, that lack…
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