Bedrock Brief 31 Dec 2025

Bedrock Brief 31 Dec 2025

Welcome back, fellow AI enthusiasts and cloud aficionados! It's been another whirlwind week in the world of AWS and artificial intelligence. Grab your favorite caffeinated beverage, because we've got some juicy updates to dive into.

Amazon's betting big on AI, and they're not being subtle about it. The tech giant is eyeing a whopping $3 trillion valuation by 2026, with AWS and AI as the rocket fuel for this moonshot. They're pouring $125 billion into beefing up AWS infrastructure and developing next-gen processors like Trainium3. It's like they're building a supercollider for the cloud, but instead of smashing atoms, they're accelerating bits and bytes at ludicrous speeds.

But wait, there's more! While Amazon's busy playing "Extreme Makeover: Data Center Edition," a plucky startup called Rhizome Research is shaking things up in the drug discovery realm. Founded by an ex-Amazon AI engineer who's betting six figures of his own money, Rhizome is using graph neural networks to design made-to-order drug molecules. It's like they're playing molecular Lego, but with AI as the master builder. Who needs venture capital when you've got chutzpah and a killer algorithm, right?

Fresh Cut

  • Amazon Connect's AI-powered agent evaluation system now works in five more languages, enabling multilingual contact centers to automatically assess performance across different languages using custom criteria. Read announcement →

The Quarry

Migrate MLflow tracking servers to Amazon SageMaker AI with serverless MLflow

Say goodbye to the headaches of managing your own MLflow tracking server—AWS just made life a whole lot easier with their new serverless MLflow App on SageMaker AI. This nifty solution not only auto-scales based on demand but also takes care of those pesky server patching and storage management tasks, all without costing you a dime. For the tech-savvy among us, the MLflow Export Import tool allows for seamless transfer of experiments, runs, models, and other MLflow resources, ensuring your migration is as smooth as butter on a hot pancake. Read blog →

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Core Sample

How AI Is Reshaping the Consumer Goods Industry

Consumer goods companies are harnessing AI to bridge the "execution reality gap" in traditional trade channels, transforming delayed insights into real-time market responsiveness. By leveraging predictive, generative, and agentic AI, these firms are tackling age-old challenges like stock-outs and suboptimal trade promotions with unprecedented precision. This AI-driven field execution strategy is becoming a critical competitive advantage, especially in markets where traditional trade still accounts for 95% of sales volume, helping established brands fend off digital-first challengers. Watch video →

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