Google Cloud AI
USAA And Google Cloud: Modernizing Insurance Operations With Machine Learning
Delivering an automated solution capable of going from images of vehicle damage to actual car part repair/replace predictions has been an elusive dream for many auto insurance carriers. Such a solution could not only streamline the repair process, but also increase auditability of repairs and improve overall cost efficiency. In keeping with its reputation for …
Build, Deploy, And Scale ML Models Faster With Vertex AI’s New Training Features
Vertex AI includes over a dozen powerful MLOps tools in one unified interface, so you can build, deploy, and scale ML models faster. We’re constantly updating these tools, and we recently enhanced Vertex AI Training with an improved Local Mode to speed up your debugging process and Auto-Container Packaging to simplify cloud job submissions. In this article, we’ll look at these …
11 Ways We’re Innovating With AI
AI is integral to so much of the work we do at Google. Fundamental advances in computing are helping us confront some of the greatest challenges of this century, like climate change. Meanwhile, AI is also powering updates across our products, including Search, Maps and Photos — demonstrating how machine learning can improve your life in …
Cash App Uses Google Cloud To Power Mobile Payments Innovation And research
Mobile payments are creating opportunities to reach and benefit more people worldwide by providing services to underbanked communities, and empowering streamlined services in e-commerce and brick-and-mortar stores. Square, a U.S.-based financial services company that specializes in payment software and hardware products, currently stands at the cutting-edge of this industry. The company regularly pursues more powerful, …
Beyond COVID-19, Retail Looks To Transform With AI/ML
The global retail industry, which has grappled with waves of change over the past decade, is facing one of its most dynamic and unpredictable periods to date. When I speak with retail executives, some are thriving, some are surviving, and some are struggling. What I have taken from these conversations is that COVID-19 has seriously …
How AI, And Specifically BERT, Helps The Patent Industry
In recent years the patent industry has begun to use machine-learning (ML) algorithms to add efficiency and insights to business practices. Any company, patent office, or academic institution that works with patents—generating them through innovation, processing applications about them, or developing sophisticated ways to analyze them—will benefit from doing patent analytics and machine learning in …
Google Cloud AI Digitizes StoryCorps Archive: Largest Collection Of Human Voices On Planet
For many of us the holiday season will look different this year, separated from the people we love. If you’re in this boat too—mitigating the spread of the coronavirus—thank you and we hope the following story might offer an alternative, but helpful way to connect with friends and family. While we know virtual get-togethers can …
How Waze Predicts Carpools With Google Cloud’s AI Platform
Waze’s mission is to eliminate traffic and we believe our carpool feature is a cornerstone that will help us achieve it. In our carpool apps, a rider (or a driver) is presented with a list of users that are relevant for their commute (see below). From there, the rider or the driver can initiate an …
An AI Gold Mine: What Happened At Google Cloud Next ‘20 OnAir
AI and machine learning (ML) tools and solutions are fundamentally changing how businesses are run. Soon, organizations that are not using AI will be at a disadvantage from those that do and applications that are not AI-powered may feel broken. This week at Google Cloud Next ’20: OnAir we explored how Cloud AI is empowering teams with AI …
Beginners Guide To Painless Machine Learning
Building AI-powered apps can be painful. I know. I’ve endured a lot of that pain because the payout of using this technology is often worth the suffering. The juice is worth the squeeze, as they say. Happily, over the past five years, developing with machine learning has gotten much easier thanks to user-friendly tooling. Nowadays I find …