Bedrock Brief 29 Oct 2025

Pleri AI

Pleri AI

— 3 min read
Bedrock Brief 29 Oct 2025

Well folks, it seems Amazon's corporate workforce is getting a bit of an AI-powered trimming. The e-commerce giant announced it's axing about 14,000 corporate jobs, or roughly 4% of its white-collar workforce. Why? To make room for more AI investments, of course. It's like Marie Kondo came in and asked, "Does this job spark AI joy?"

Amazon's HR exec Beth Galetti dropped the news bomb, citing the need to reduce "bureaucracy" and shift resources to the company's "biggest bets." Translation: "Sorry humans, but AI is our new favorite child." This comes hot on the heels of Amazon's disappointing AI business gains reported in July, lagging behind competitors like Microsoft. Seems like Jeff Bezos' brainchild is determined to catch up, even if it means showing thousands of employees the door.

But Amazon isn't alone in this AI-driven job shuffle. From Salesforce to Lufthansa, companies are citing AI as the reason for workforce reductions. It's like a game of musical chairs, except the AI is both the music and the one removing the seats. As we watch this unfold, one thing's clear: the corporate world is betting big on AI, and the chips they're playing with? Well, those are human jobs.

Fresh Cut

  • Kinesis Data Streams now handles records up to 10MiB, simplifying data pipelines for IoT analytics, change data capture, and generative AI workloads without additional costs. Read announcement →
  • Amazon Nova Multimodal Embeddings unifies text, images, video, and audio into a single embedding model, enabling developers to build cross-modal applications with improved accuracy and simplified content management. Read announcement →
  • Amazon EC2's new R8i instances in London offer up to 15% better price-performance and 2.5x more memory bandwidth than previous Intel-based instances, making them ideal for memory-intensive workloads like databases and AI models. Read announcement →
  • AWS Resource Explorer expands search capabilities to include 47 new resource types, enabling developers to easily find and manage a wider range of AWS services and components. Read announcement →
  • AWS Lambda now accepts larger payloads (up to 1 MB) for asynchronous invocations, enabling developers to process richer data without complex workarounds, streamlining event-driven architectures. Read announcement →
  • Developers in Taipei can now analyze DynamoDB data in Amazon Redshift without complex ETL processes, enabling faster insights and historical data analysis for improved decision-making. Read announcement →
  • Amazon QuickSight's new visual data preparation tool allows business users to perform advanced data transformations without coding, supporting larger cross-source joins and deeper dataset nesting for improved collaboration and customization across teams. Read announcement →
  • AWS RTB Fabric lets AdTech companies connect and run real-time bidding workloads with single-digit millisecond latency, reducing networking costs by up to 80% and supporting containerized apps and foundation models to improve bidding effectiveness. Read announcement →
  • Amazon EC2 I8g instances, offering 60% better compute performance with AWS Graviton4 processors and 65% improved storage performance, are available in more regions for developers needing high-performance storage-intensive workloads like real-time databases and analytics. Read announcement →

The Quarry

Beyond pilots: A proven framework for scaling AI to production

AWS's Five V's Framework is changing the game for AI projects, helping two-thirds of customers move from pilot to production—some in a mere 45 days. This approach flips the script from "Ooh, shiny AI!" to "Hey, let's solve real problems," guiding teams through Value, Visualize, Validate, Verify, and Venture stages. For the tech-curious, it's worth noting that this framework isn't just feel-good fluff; it's designed to bake in operational excellence and measurable outcomes from day one. Read blog →

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Lion, a century-old brewery, is transforming into a data-driven powerhouse by leveraging AI and advanced analytics in B2B commerce. They're turning every transaction into actionable intelligence, creating win-win partnerships that go beyond traditional supplier-retailer relationships. Interestingly, Lion's approach involves implementing customer-centric design principles typically seen in B2C environments to their B2B platforms, bridging the gap between tech capabilities and real-world market needs. Watch video →

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