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Category: AWS Glue DataBrew

Harnessing Data and AI for Supply Chain Optimization

by Morgan Sinclair
on 01 MAR 2024
in Amazon Bedrock, Amazon Q, Amazon QuickSight, Amazon SageMaker, Artificial Intelligence, AWS Big Data, AWS Glue, AWS Glue DataBrew, AWS Supply Chain, Business Intelligence, Business Productivity, CPG, Customer Solutions, Foundational (100), Generative AI, Industries, Manufacturing, Retail, Supply Chain, Thought Leadership

Last month, I shared my crucial forecasts for 2024. This blog post delves deeper into the importance of consolidating fragmented data from various systems into a cohesive data model. Supply chain leaders are confronted with escalating complexity due to vast global networks and heightened customer demands. Consequently, supply chain management has evolved into a strategic differentiator, as customers increasingly expect seamless experiences. For further insights on this topic, check out this another blog post here.

Speeding Up the Transition of Supply Chain Data from Legacy Systems to AWS Supply Chain

by Jordan Miller
on 14 NOV 2023
in Amazon Simple Storage Service (S3), Architecture, AWS Glue, AWS Glue DataBrew, AWS Supply Chain, Customer Solutions, Storage, Supply Chain, Technical How-to

Businesses across diverse sectors continue to use autonomous and separate systems like enterprise resource planning (ERP), order management systems (OMS), and enterprise data warehouses (EDW) for storing supply chain and operational data. While these systems serve their basic roles effectively, supply chain data remains trapped in these disjointed sources. The underlying data is often difficult to access and analyze. As you explore this area further, I recommend looking at the insights shared by experts here.

Cutting Through the Fog of Supply Chain Visibility for Enhanced Efficiency

by Alex Thompson, Jamie Carter, and Sarah Reed
on 09 DEC 2022
in Amazon AppFlow, Amazon Machine Learning, Amazon QuickSight, Amazon SageMaker, Amazon Simple Storage Service (S3), AWS Glue, AWS Glue DataBrew, Best Practices, Customer Solutions, Thought Leadership

We have noticed that executives aiming to gain a comprehensive view of their organization’s supply chain often encounter a landscape shrouded in fog—an incomplete, fragmented, and at times inconsistent depiction of current operations. Data often resides in isolated, disconnected systems, complicating processes such as external logistics and the state of current operations. To assist in navigating these challenges, consider exploring this excellent resource.

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