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  "documentTitle": "2023 A New Era of Generative AI for Everyone",
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      "text": "Customizing foundation models will require access to domain-specific organizational data, semantics, knowledge, and methodologies. In the pre-generative AI era, companies could still get value from AI without having modernized their data architecture and estate by taking a use-case centric approach to AI. That’s no longer the case. Foundation models need vast amounts of curated data to learn and that makes solving the data challenge an urgent priority for every business. Companies need a strategic and disciplined approach to acquiring, growing, refining, safeguarding and deploying data. Specifically, they need a modern enterprise data platform built on cloud with a trusted, reusable set of data products. Because these platforms are cross-functional, with enterprise-grade analytics and data housed in cloud-based warehouses or data lakes, data is able to break free from organizational silos and democratized for use across an organization. All business data can then be analyzed together in one place or through a distributed computing strategy, such as a data mesh.",
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