FAANG

Unlock global AI inference scalability using new global cross-Region inference on Amazon Bedrock with Anthropic’s Claude Sonnet 4.5

Organizations are increasingly integrating generative AI capabilities into their applications to enhance customer experiences, streamline operations, and drive innovation. As…

5 months ago

Connect Spark data pipelines to Gemini and other AI models with Dataproc ML library

Many data science teams rely on Apache Spark running on Dataproc managed clusters for powerful, large-scale data preparation. As these…

5 months ago

TASER: Translation Assessment via Systematic Evaluation and Reasoning

We introduce TASER (Translation Assessment via Systematic Evaluation and Reasoning), a metric that uses Large Reasoning Models (LRMs) for automated…

5 months ago

Inside the AIPCon 8 Demos Redefining the Future of Enterprise AI

Editor’s Note: AIPCon 8, Palantir’s most recent customer conference, featured breakthrough customer implementations that demonstrate what’s possible with enterprise AI…

5 months ago

Enhance agentic workflows with enterprise search using Kore.ai and Amazon Q Business

This post was written with Meghana Chintalapudi and Surabhi Sankhla of Kore.ai. As organizations struggle with exponentially growing volumes of…

5 months ago

Building on the bananas momentum of generative media models on Google Cloud

It’s been exciting to see the capabilities of Nano Banana, our latest image editing model available in Gemini 2.5 Flash…

5 months ago

How Hapag-Lloyd improved schedule reliability with ML-powered vessel schedule predictions using Amazon SageMaker

This post is cowritten with Thomas Voss and Bernhard Hersberger from Hapag-Lloyd. Hapag-Lloyd is one of the world’s leading shipping…

5 months ago

Gemini CLI extension for PostgreSQL in action: Build a fuzzy search feature in minutes

Adding features to an app can be hard. One minute you're writing code, the next you're switching to the PostgreSQL…

5 months ago

Compute-Optimal Quantization-Aware Training

Quantization-aware training (QAT) is a leading technique for improving the accuracy of quantized neural networks. Previ- ous work has shown…

5 months ago

Modernize fraud prevention: GraphStorm v0.5 for real-time inference

Fraud continues to cause significant financial damage globally, with U.S. consumers alone losing $12.5 billion in 2024—a 25% increase from the…

5 months ago