The agentic marketing stack starts with the data layer
There's a version of the AI modernization story that goes: build the platform, then...
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Introducing Feature Views
In a perfect world, ML Features are built only once. But for many teams, a feature...
Frontier and Center: Who evaluates the evaluations?
Editor’s note: Some of the most interesting questions in AI are being asked by information theoreticians, around how to provide context to an emerging class of AI agents. A few weeks ago, we waded...
Traces now support Tree and Waterfall views
Traces in Vercel Logs now support Tree and Waterfall views. See span hierarchy, critical path, and timing without leaving the log entry.The Tree view groups spans by parent and child. On load, spans...
Tableflow: Turn Kafka Topics into Iceberg Tables
Learn how Confluent Tableflow turns Kafka topics into Iceberg tables for zero-ETL analytics with automatic schema evolution and open catalog access.
Fine-tune NVIDIA Nemotron 3 models with Amazon SageMaker AI serverless model customization
In this post, we explore what makes the Nemotron 3 architecture unique, walk through the fine-tuning techniques available, and show you step-by-step how to get started with serverless customization...
Real-time dental image verification with Amazon SageMaker AI at Henry Schein One
This post describes how Henry Schein One closed that gap by building Image Verify, an AI-powered quality verification system on Amazon SageMaker AI that evaluates dental X-ray quality at the point of...
Build a semantic layer for agentic AI on AWS with Stardog and Amazon Bedrock AgentCore
In this post we show how to build a semantic layer on AWS using Stardog’s Semantic AI Application over Amazon Aurora and Amazon Redshift, and how to run a Strands Agents agent on Amazon Bedrock...
Scaling agentic workflows with native case management in Amazon Quick Automate
In this post, we show you how to combine case management with agentic automation capabilities in Quick Automate. We introduce case management and explore the lifecycle of cases in an agentic workflow...
Deploying quantized models on Amazon SageMaker AI with Unsloth
In this post, you will learn four deployment patterns for taking models that have already been quantized with Unsloth and deploying them on AWS infrastructure. The patterns use Amazon Elastic Compute...
Redpanda vs Kafka vs Confluent: An Honest Comparison
Confluent blog
The Ambulatory Intelligence Gap
Ambulatory care, the outpatient clinics and physician practices where most patients...
How Deutsche Telekom is rewiring telecommunications with AI
How Deutsche Telekom is becoming an AI-native telco with OpenAI-transforming customer service, employee workflows, network operations, and the future of voice.
vime + ROCm: End-to-End RL Post-Training on AMD Instinct™ GPUs
Announcing ROCm support for vime, now running end-to-end on AMD Instinct MI355X GPUs with prebuilt container.
Getting started with ChatGPT
Learn how to use ChatGPT, start your first conversation, and discover simple ways to write, brainstorm, and solve problems with AI.
DuckLake Architecture Deep Dive
DuckLake is a next generation data lakehouse and open table format. It is significantly simpler and faster than Apache Iceberg or Delta Lake because it uses a SQL database for storing the catalog and...
One Driver, One Format, Every Language: ADBC
ClickHouse now has an official ADBC driver, giving Ruby, R, C, and every other ADBC-aware tool zero-conversion, Arrow-native access to ClickHouse without a dedicated client for each language.
ClickHouse on Docker Hardened Images
ClickHouse is now available as a Docker Hardened Image: a minimal, security-hardened build that passes enterprise vulnerability scans by shipping only what the database needs to run, with no change...
What is a transactional database? Definition and uses
Learn what a transactional database is, how it manages transactional data, and how it compares to other database technologies and use cases.