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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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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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Data is one of the most important assets in a modern enterprise. Contained within an organization’s data are representations of customers, the products, and the...
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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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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...
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This blueprint will help you design a data management practice that will allow your organization to use data as a strategic enabler.
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For AI to be able to answer questions or discover new relationships, it needs an underlining architecture that not only describes the data AI will operate on but also...
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The amount of data within organizations is growing at an exponential rate, creating a need for organizations to adopt a formal approach to governing their data. However,...
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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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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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