Build enterprise search for agents with Amazon Bedrock Managed Knowledge Base
In this post, we walk through the three pillars that make this possible: simplified setup, smarter retrieval, and production readiness. We also show you code examples…
Cloud & Big Tech 401 stories
From experiment to insight: how Dotmatics Luma and Databricks make AI-ready science a reality
The gap between scientific data and scientific insightModern scientific workflows...
Introducing Grok on Amazon Bedrock
This post covers what makes Grok 4.3 a great fit for agentic and enterprise workloads, how you access it through Amazon Bedrock, and how to use…
Unified context: The missing layer for enterprise AI coworkers
AI assistants are quickly spreading across the surface layer of work. They draft...
What happens in the milliseconds after you tap pay
You're standing at the register. You tap your card. A tiny spinner appears for maybe...
The skills gap behind agentic AI — and how Databricks is closing it with a new context engineer certification and agent trainings
Engineering the Future: The Context Engineer CertificationAs organizations race to...
Building a restaurant telephony AI host with Amazon Bedrock AgentCore and Amazon Nova 2 Sonic
In this post, we show you how to build a voice ordering system that answers a phone number and takes the order from greeting to confirmation.…
Personalizing Incremental Video Search with Hybrid Text and ID Embeddings
Incremental video search requires high-quality ranking after each keystroke, where intent is often underspecified (e.g., 1–3 character prefixes). We present a personalization system for Apple TV…
Embarrassingly Simple Self-Distillation Improves Code Generation
Can a large language model (LLM) improve at code generation using only its own raw outputs, without a verifier, a teacher model, or reinforcement learning? We…
Doubly Sub-linear Interactive Proofs of Proximity
We study doubly sub-linear interactive proofs of proximity (dsIPPs): proofs that are ultra-fast to generate, and can be used to prove approximate assertions about a huge…
Interactive Proofs for General Distribution Properties
Suppose Alice has collected a small number of samples from an unknown distribution, and would like to learn about the distribution. Bob, an untrusted data analyst,…
Location-Invariant Properties of Functions Versus Properties of Distributions: United in Testing but Separated in Verification
A property of functions is called location-invariant (or symmetric) if it can be characterized in terms of the frequencies in which each value occurs in the…
Introducing Apache Spark 4.2
IntroductionApache Spark 4.2 moves more of the modern data and AI stack into the...
Inkling model from Thinking Machines Lab now on Databricks
We are excited to announce Databricks as a day zero launch partner for Thinking Machines Lab (TML)...
Built Technologies builds an AI-powered document intelligence solution on AWS to power agents across real estate finance
Built partnered with the AWS Generative AI Innovation Center (GenAIIC), AWS Partner AND Digital, and AWS account teams to create a scalable, AI-powered document processing engine…
Agentic vision: Building visual intelligence with Amazon Bedrock and MCP servers
In this post, we walk you through the Computer Vision MCP Server, which illustrates this approach, representing how AI systems can process visual information and make…
Monitor Amazon SageMaker Pipelines cross-account with custom Amazon CloudWatch dashboards
In this post, we present a solution designed to centralize the monitoring of SageMaker Pipelines across AWS accounts and Regions using Amazon CloudWatch custom dashboards. The…
AI-Enabled Advisory Services for Higher Education
The ProblemCall centers are a key student support tool for higher education. Advisors...
Data-Native AI Agents: Why Agents Must Move to Your Data
Most enterprise AI pilots clear the same low bar: connect an LLM to your data, drop...
Azure Databricks delivers proven business value
Microsoft Azure Databricks delivers the first-party advantage of Databricks on Microsoft—and for customers, that advantage shows up as real, measurable value. It is the same Databricks…
CLaRa: Bridging Retrieval and Generation with Continuous Latent Reasoning
Retrieval-augmented generation (RAG) enhances large language models (LLMs) with external knowledge but still suffers from long contexts and disjoint retrieval–generation optimization. In this work, we propose…
Uncertainty Quantification for LLM Function-Calling
Large Language Models (LLMs) are increasingly deployed to autonomously solve real-world tasks. A key ingredient for this is the LLM Function-Calling paradigm, a widely used approach…
One Layer Is Enough: Adapting Pretrained Visual Encoders for Image Generation
Visual generative models (e.g., diffusion models) typically operate in compressed latent spaces to balance training efficiency and sample quality. In parallel, there has been growing interest…
Take insights anywhere with Genie One on mobile
We recently announced Genie One, the data-smart AI coworker for business users. Today,...