The traditional approach of building individual data products for each use case is becoming outdated, especially for companies experiencing rapid growth through acquisitions. Instead, a more adaptable model involves creating a unified layer of governed data services. This shift is crucial for supporting emerging AI applications and agentic workflows, where data needs to be composed in unpredictable ways. By focusing on services rather than products, organizations can reduce integration times and lower the cost of data fragmentation. AI
IMPACT Advocates for a data services architecture to better support future AI and agentic workflows.
RANK_REASON Blog post discussing a strategic shift in data architecture.
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