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Use this research to develop a data & analytics practice strategy to prepare your organization for the exponential development of the technology and its demands.
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Generative AI introduces new risks, and several institutions are introducing guidance or legislation to mitigate the risks involved in deploying AI-based technologies.
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Data quality is something that everyone feels the impact of, and most data owners agree that managing it is a challenge. The value and effectiveness of decision-making is...
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Modern enterprise content is designed to be business-driven and managed. Enterprise content management (ECM) supports effective information management, which is vital to...
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A step-by-step document that walks you through Info-Tech's three-phase methodology for optimizing data architecture.
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Maximize the value of your data with an organization-first, technology-second strategy. This storyboard delineates a five-phase process to defining and developing a modern...
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Use this deck to build your roadmap to synthetic data use, ensuring it solves the right problems, can be generated and used safely, and supports strategic business outcomes.
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In this concise publication, we introduce you to Info-Tech's Data Playbook, a structured, calendar-aligned, actionable framework that CDAOs and other Data leaders can...
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Explore how focusing on sustainable scale-out can help you avoid AI fragmentation in this keynote presentation delivered at Info-Tech LIVE 2025.
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Explore the evolution of different forms of literacy and the critical role of data and AI literacy in this keynote presentation from LIVE 2025.
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