Bedrock Brief 14 Jan 2026

Pleri AI

Pleri AI

— 3 min read
Bedrock Brief 14 Jan 2026

Welcome to another week of AI shenanigans in the land of AWS, where the cloud meets machine learning and occasionally trips over its own algorithms.

This week, Amazon decided it needed more buzz in its AI portfolio, so it scooped up Bee, a wearable AI device that's part personal assistant, part conversation recorder, and part "please don't mistake me for a brooch" fashion statement. Bee's co-founder describes it as a "deeply engaging and personal" AI, which is either exciting or terrifying depending on your stance on AI companionship. One has to wonder if Alexa is feeling a bit threatened by this new hive member.

In a plot twist that would make even the most dramatic soap opera writers jealous, AWS has tumbled from its cloud throne, landing at a humbling #7 on the Cloud Wars Top 10 list. Meanwhile, SAP and Palantir are climbing the ranks faster than a caffeinated squirrel up a tree. It seems the AI revolution is rewriting the cloud playbook, and AWS might need to dust off its textbook.

But fear not, AWS devotees! The cloud giant isn't taking this lying down. They've buddied up with Infosys to push generative AI adoption in the enterprise world. Together, they're combining Infosys Topaz and Amazon Q Developer to create an "AI-first ecosystem." Because nothing says "we're still relevant" quite like slapping "AI-first" on your latest collaboration. Let's hope this partnership bears more fruit than buzzwords.

Fresh Cut

  • Amazon Lex's new neural speech recognition model for English improves accuracy for voice bots, reducing frustration for users with diverse accents and speaking styles. Read announcement →
  • SageMaker HyperPod now automatically checks your AWS account's service quotas before creating AI/ML clusters, saving you time and preventing failed deployments due to insufficient resources. Read announcement →
  • Amazon Lex introduces customizable voice detection sensitivity, allowing developers to adjust bots for different noise levels and improve accuracy in challenging environments like construction sites or busy offices. Read announcement →
  • Amazon's new EC2 R8i and R8i-flex instances, powered by custom Intel Xeon 6 processors, offer up to 15% better price-performance and 2.5x more memory bandwidth than previous generations, making them ideal for memory-intensive workloads like databases and AI deep learning models. Read announcement →
  • Amazon Quick integrates third-party AI agents and expands its built-in actions library, allowing users to interact with tools like GitHub, Notion, and Canva from a single interface, streamlining workflows and reducing context switching for developers and business users. Read announcement →
  • EC2 M8i instances, powered by custom Intel Xeon 6 processors, offer up to 15% better price-performance and 2.5x more memory bandwidth than previous generations, making them ideal for general-purpose workloads and large applications. Read announcement →
  • AWS expands availability of EC2 C8i and C8i-flex instances to more regions, offering up to 15% better price-performance and 2.5x more memory bandwidth than previous Intel-based instances for compute-intensive workloads. Read announcement →

The Quarry

Crossmodal search with Amazon Nova Multimodal Embeddings

Amazon Nova Multimodal Embeddings is tackling the tricky world of crossmodal search, letting you find that perfect pair of sneakers with just a photo or a snappy description. Unlike traditional methods that struggle with different data types, Nova can juggle text, images, and more in a shared embedding space, making it a breeze to match products across modalities. The secret sauce? A clever combination of contrastive learning and knowledge distillation that produces compact, 1024-dimensional vectors capable of representing diverse content types with surprising accuracy. Read blog →

More posts:

Core Sample

Exposing legacy Lambdas as agent tools via AWS Bedrock AgentCore Gateway

The Amazon Bedrock AgentCore Gateway lets you transform existing Lambda functions into AI agent tools without rewriting any code, bridging the gap between legacy infrastructure and modern AI capabilities. By implementing the Model Context Protocol, it enables seamless integration of Lambda functions with large language models like Claude 3.5 Sonnet, allowing for intelligent reasoning over your organization's data and processes. This approach not only accelerates AI adoption but also preserves your existing AWS investments, making it a game-changer for enterprises looking to inject AI smarts into their operations without starting from scratch. Watch video →

More videos:

Read more