In this session, see how organizations with constrained resources (budgets, skill gaps, time) can jump-start their data-driven journey with advanced analytics and ML capabilities. Learn AWS Working Backwards best practices to drive forward data-related projects that address tangible business value. Then dive into AWS analytics and AI/ML capabilities that simplify and expedite data pipeline delivery and business value from ML workloads. Hear about low-code no-code (LCNC) AWS services within the context of a complete data pipeline architecture.
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