Category: FAANG

Editor’s Note: AIPCon 8, Palantir’s most recent customer conference, featured breakthrough customer implementations that demonstrate what’s possible with enterprise AI today. In part one of this two-part series, we share highlights from the afternoon’s standout demo sessions. Those who attended AIPCon 8 all walked away with a shared experience — seeing firsthand the power of transformative AI …

Read more “Inside the AIPCon 8 Demos Redefining the Future of Enterprise AI”

This post was written with Meghana Chintalapudi and Surabhi Sankhla of Kore.ai. As organizations struggle with exponentially growing volumes of data distributed across multiple repositories and applications, employees lose significant time—approximately 30% according to the International Data Corporation (IDC)—searching for information that could be spent on higher-value work. The complexity of modern enterprise data networks …

Read more “Enhance agentic workflows with enterprise search using Kore.ai and Amazon Q Business”

It’s been exciting to see the capabilities of Nano Banana, our latest image editing model available in Gemini 2.5 Flash Image, go viral. And with transformative workflows like these, it is easy to see why: genmedia bundle carousel 1 Iterative refinement with Gemini 2.5 Flash Image genmedia bundle carousel 2 Context aware conversational editing with …

Read more “Building on the bananas momentum of generative media models on Google Cloud”

This post is cowritten with Thomas Voss and Bernhard Hersberger from Hapag-Lloyd. Hapag-Lloyd is one of the world’s leading shipping companies with more than 308 modern vessels, 11.9 million TEUs (twenty-foot equivalent units) transported per year, and 16,700 motivated employees in more than 400 offices in 139 countries. They connect continents, businesses, and people through …

Read more “How Hapag-Lloyd improved schedule reliability with ML-powered vessel schedule predictions using Amazon SageMaker”

Adding features to an app can be hard. One minute you’re writing code, the next you’re switching to the PostgreSQL database client to run a query, and then it’s over to the console to check on your instances. For example, let’s say you wanted to add search capabilities. This can mean adding the right extensions …

Read more “Gemini CLI extension for PostgreSQL in action: Build a fuzzy search feature in minutes”

Fraud continues to cause significant financial damage globally, with U.S. consumers alone losing $12.5 billion in 2024—a 25% increase from the previous year according to the Federal Trade Commission. This surge stems not from more frequent attacks, but from fraudsters’ increasing sophistication. As fraudulent activities become more complex and interconnected, conventional machine learning approaches fall short …

Read more “Modernize fraud prevention: GraphStorm v0.5 for real-time inference”

For AI agents to be really useful, they need to be able to securely interact with enterprise data. In July, we introduced a toolset to help AI agents interact with and analyze business data in BigQuery through natural language, and with just a few lines of code. Today, we’re taking the next step, with “Ask …

Read more “Forecasts and data insights come to BigQuery’s MCP and Agent Development Kit tools”

By Jun He, Yingyi Zhang, Ely Spears TL;DR We recently upgraded the Maestro engine to go beyond scalability and improved its performance by 100X! The overall overhead is reduced from seconds to milliseconds. We have updated the Maestro open source project with this improvement! Please visit the Maestro GitHub repository to get started. If you find …

Read more “100X Faster: How We Supercharged Netflix Maestro’s Workflow Engine”