The fuel of the future is already here: Why TRISO matters
Millimeter-scale particles of nuclear-reactor fuel are encased in four layers of different materials that act as a “miniature containment system”.
Cloud & Big Tech 398 stories
The Rise of Sports Intelligence: How the Lakehouse Turns Tracking Data into Competitive Advantage
Every second of a professional basketball game now generates more than 20,000 data...
Huntington Bank: Redacting sensitive data from 400M+ documents with AWS
In this post, we walk through how Huntington built a scalable AWS solution to detect and redact Personally Identifiable Information (PII) and Payment Card Industry (PCI)…
Build a healthcare appointment agent with Amazon Nova 2 Sonic
In this post, you will learn how to build a voice agent that handles appointment reminder conversations using Amazon Nova 2 Sonic and Amazon Bedrock AgentCore.…
AI-powered BI with Snowflake and Amazon Quick
In this post, you will learn how to build an end-to-end integration between Snowflake semantic views and Amazon Quick. The sample data is user review data…
How Daikin Applied Americas builds consistent data pipelines at scale with Genie Code
Agentic data engineering is changing how pipelines are builtDaikin Applied Americas...
What are Dashboards?
A dashboard is a visual interface that brings together key metrics, KPIs and data...
How Loka Built a Natural, Low-Latency Voice Agent with Amazon Nova 2 Sonic
In this post, we demonstrate the architecture and approach Loka used to solve a common frustration: robotic, slow voice assistants that cause customers to hang up,…
What if the answer was already in your data?
What If the Answer Was Already in Your Data?Kythera Labs is building an AI-native...
Databricks positioned highest in execution and furthest in vision for the second consecutive year in Gartner Magic Quadrant
Enterprises are rapidly deploying agentic applications at scale, from back-office...
Genesis Workbench: A blueprint for industry AI in life sciences, powered by Databricks and NVIDIA
Bringing GPU-accelerated drug discovery to your dataLife sciences leaders need domain-specific,...
Build a protein research copilot with Amazon Bedrock AgentCore
This post shows you how to build a conversational protein research assistant that combines three capabilities: Natural language query parsing to extract structured search parameters, vector…
From insight to action: The next phase of agentic cloud operations
What if your cloud environment could help you move from insight to action in real time, with systems already working through the next set of decisions?…
Shared infrastructure, isolated tenants: Pool model multi-tenancy with Amazon Bedrock AgentCore
In this post, you will learn patterns for implementing production-ready multi-tenant systems using Amazon Bedrock AgentCore. You will see these patterns demonstrated through healthcare AI agents…
Guide to Agentic Systems and AI Agents
Agentic AI is a class of artificial intelligence in which software systems autonomously plan, execute...
Top 10 AI Business Solutions Driving Company Growth
The question most business leaders are asking today isn't whether to adopt AI. It's...
End-to-End RAG Workflow: How Retrieval Augmented Generation Works
Retrieval Augmented Generation (RAG) is an AI architecture pattern that connects...
What is Vector Search?
Vector search is a search technique that finds results based on meaning, not just...
Data Lake vs. Cloud Data Warehouse: A Practical Guide for Data Scientists
A data lake is a centralized repository that stores raw data in its native format — structured, semi-structured, ...
Nine Judges, Two Effective Votes: Correlated Errors Undermine LLM Evaluation Panels
LLM-as-a-judge panels aggregate votes from multiple models, with the expectation that diverse models yield more reliable evaluations. We develop a framework to measure the true informational…
Metric-Dependent Annotation Saturation for Learning from Label Distributions
When annotators disagree on a label, the disagreement itself carries signal—and the number of annotators needed to capture it depends on the evaluation metric. We fine-tune…
DataOps Strategy for Modern Data Engineering
What Is DataOps and Why It Matters for Data TeamsDataOps is a collaborative data...
Building pay-per-intelligence for AI agents: How Ampersend uses Amazon Bedrock AgentCore Payments
In this post, you will learn how Ampersend built a pay-per-intelligence routing layer on top of Amazon Bedrock AgentCore Payments. AI agents autonomously route tasks to…
Embed the world: Multimodal AI for searchable aerial imagery at scale
In this post, we walk through the problem space, our architecture on Amazon Bedrock and Amazon OpenSearch Serverless, the evaluation methodology we built on OpenStreetMap ground…