Demand for end-to-end platforms, the convergence of data and AI, and the evolution of roles in the generative AI era are all driving the change, say analysts.
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Data warehousing, business intelligence, data analytics, and AI services are all coming together under one roof at Amazon Web Services.
This unification of analytics and AI services is perhaps best exemplified by a new offering inside Amazon SageMaker, Unified Studio, a preview of which AWS CEO Matt Garman unveiled at the company’s annual re:Invent conference this week. It combines SQL analytics, data processing, AI development, data streaming, business intelligence, and search analytics.
Another offering that AWS announced to support the integration is the SageMaker Data Lakehouse, aimed at helping enterprises unify data across Amazon S3 data lakes and Amazon Redshift data warehouses.
The move could help enterprises reduce IT integration overhead, complexity, and cost, and reflects a broader industry trend towards convergence of data and …