Posts in tag

Cloud AI


As a software engineer and generally analytic type, I like to craft theories for everything. Theories on how to build software, how to stay productive, how to be creative…and even how to dress well. For help with that last one, I decided to hire a personal stylist. As it turned out, I was not my …

What happens to business contracts in an organization after signature? Usually, the answer is nothing. They sit in Gmail, Drive, or in a dedicated contract repository until, in rare cases, someone needs to recheck the agreement terms. At which point a scramble ensues to find the contract, read through it, and discover what exactly was …

Belgian fintech company, Unifiedpost Group has deployed Procurement DocAI to process nearly 350 million invoices and other procure-to-pay docs per year, in 15 countries across Europe. Procurement DocAI, which was announced at Google Cloud Next OnAir, automates the capture of invoices, receipts and other procurement data at scale. It takes unstructured documents across a variety of formats and turns …

More and more companies want to adopt the latest cloud-based artificial intelligence (AI) and machine learning (ML) technologies, but they are subject to an increasing array of data privacy regulations. This is an important concern for customers, who are interested in using AI and ML systems to drive better business outcomes while complying with new …

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 …

Building end-to-end pipelines is becoming more important as many businesses realize that having a machine learning model is only one small step towards getting their ML-driven application into production. Google Cloud offers a tool for training and deploying models at scale, Cloud AI Platform, which integrates with multiple orchestration tools like TensorFlow Extended and KubeFlow Pipelines (KFP). However, it is …

In less than 10 years, some predict that Artificial Intelligence (AI) may be the #1 driver of global GDP growth1. This is a staggering prediction. Over this next decade, we will see incredible adoption and innovation; in fact, applications that aren’t AI-enabled may feel broken. Despite this excitement, I have seen first-hand that trust in …

In partnership with the U.S. National Science Foundation (NSF), we are announcing a National AI Research Institute for Human-AI Interaction and Collaboration. Google will provide $5 million in funding to support the Institute. We will also offer AI expertise, research collaborations, and Cloud support for Institute researchers and educators as they advance knowledge and progress …

We’re making TabNet available as a built-in algorithm on Google Cloud AI Platform, creating an integrated tool chain that makes it easier to run training jobs on your data without writing any code. TabNet combines the best of two worlds: it is explainable (similar to simpler tree-based models) while benefiting from high performance (similar to deep neural networks). This …

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 …