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GenAI Adoption Guide: Data Strategies to Overcome Fragmentation
The convergence of structured and unstructured data intelligence introduces significant complexity in enterprise generative AI (GenAI) architectures. To overcome these challenges, organizations need data platforms that unify data pipelines, metadata, integration workflows, and observability layers—acting as both the foundational backbone and the connective layer for GenAI initiatives.
Learn how to bridge structured data governance with unstructured GenAI experiences, enabling enterprises to convert fragmented data and AI environments into GenAI solutions that are relevant, responsible, and resilient.
In this GenAI adoption guide, You’ll discover
how to:
Identify and address fragmentation across GenAI ecosystems
Modernize data governance, management, and architecture to meet evolving GenAI requirements
Power GenAI initiatives with AI-ready data using Informatica
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