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The desire for rapid decision making is increasing and the complexity of data sources is growing; business users want access to several new data sources, but in a way that...
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Although some may believe that metadata is an outdated form of search due to the natural language search of Google and other out-of-the-box search capabilities, the reality...
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Data teams struggle in many areas including a quick and iterative approach for converting an analytics/algorithm into a production-ready reusable and integrated software....
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Data management has distinct phasing. Fitting all phases inside a single data warehouse environment creates an unmanageable monster. Instead, think of creating a...
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Master data management (MDM) provides a single, reliable, and precise view of the organization. Approaching MDM with a clear blueprint that provides a step-by-step approach...
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Business intelligence and analytics solutions are becoming increasingly essential tools, transforming organizational data into actionable insights that inform and guide...
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The purpose of this project is to identify relevant capabilities to support your AI use case, validate AI use cases against business requirements, and select vendors to...
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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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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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Learn more about adopting a CEO mindset and running IT by the numbers in this LIVE 2025 keynote presentation.
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