Canada traded significantly less with the United States in March but made up for it at the start of a trade war between neighbours with increased overseas shipments, official data showed Tuesday.

In this post, we describe how Tradeshift deployed Amazon Quick with agentic AI capabilities to replace our legacy BI tool, resulting in query response times up to 30 times faster, a 40 percent reduction in total cost of ownership, and turned embedded analytics into a product that generates revenue.

Central Asia’s first response to the Iran war was public and urgent. Governments organized evacuations, welcomed a ceasefire, and watched the Strait of Hormuz

In 2023, Tradeshift migrated one of its core PostgreSQL databases from self-managed Amazon Elastic Compute Cloud (Amazon EC2) instances to Amazon Relational Database Service (Amazon RDS) for PostgreSQL. The decision followed mounting operational risks and performance limits that made the existing setup increasingly unsustainable. Tradeshift needed a managed solution that could reduce downtime risk, improve observability, and simplify ongoing operations. Amazon RDS met those requirements. In this post, we explain why we migrated to Amazon RDS, how we executed the migration, and highlight the invaluable benefits it delivered in terms of safety, flexibility, and audit compliance.

Tradeshift transformed its B2B analytics by implementing Amazon QuickSight and Amazon Q, delivering powerful embedded analytics solutions that enable natural language data exploration across their global e-invoicing platform.

In this post, we describe how Tradeshift deployed Amazon Quick with agentic AI capabilities to replace our legacy BI tool, resulting in query response times up to 30 times faster, a 40 percent reduction in total cost of ownership, and turned embedded analytics into a product that generates revenue.

Chinese customs official says trade has diversified away from US in recent years and plays up its ‘vast domestic market’

In this post, we explore how Tradeshift transformed their analytics capabilities by implementing Amazon QuickSight and Amazon Q to deliver powerful, embedded analytics solutions for both buyers and sellers across their e-invoicing and AP automation platform. The solution enables processing of massive datasets ranging from 1M to 100M+ rows while delivering insights in seconds, and integrates Amazon Q’s natural language interface to help users explore data without technical expertise.

In this post, we describe how Tradeshift deployed Amazon Quick with agentic AI capabilities to replace our legacy BI tool, resulting in query response times up to 30 times faster, a 40 percent reduction in total cost of ownership, and turned embedded analytics into a product that generates revenue.

In this post, we describe how Tradeshift deployed Amazon Quick with agentic AI capabilities to replace our legacy BI tool, resulting in query response times up to 30 times faster, a 40 percent reduction in total cost of ownership, and turned embedded analytics into a product that generates revenue.

Tradeshift replaced its legacy BI tool with Amazon Quick's agentic AI platform, achieving 30x faster query times, 40% cost reduction, and transforming analytics into a revenue-generating product.

In this post, we describe how Tradeshift deployed Amazon Quick with agentic AI capabilities to replace our legacy BI tool, resulting in query response times up to 30 times faster, a 40 percent reduction in total cost of ownership, and turned embedded analytics into a product that generates revenue.

U.S. sanctions on Russia have reshaped global trade, hurting both economies and shifting Moscow’s focus toward Asia.