Google Cloud Features Update: November 2022

Google Cloud Features Update Summary - November 2022

The summary of essential information about Google Cloud inNovember 2022.

Announcing MongoDB connector for Apigee Integration

MongoDB is a developer-friendly application data platform that makes it easy for developers to access a wide variety of data using a unified language interface, simplifying the data handling process.

November 09 | Google Cloud: API Management

MongoDB and Apigee have already partnered to provide a solution to ease and secure access to siloed data for internal developers or partners. Today, we are further simplifying this solution by announcing a new connector between Apigee and MongoDB. Read More.

Using AI to increase asset utilization and production uptime for manufacturers

Today, manufacturers are advancing on their factory digitalization journey, betting on innovative technologies to strengthen competitiveness, deliver sustainable growth, and offer new services.

November 15 | Google Cloud: Manufacturing

Google Cloud created purpose-built tools and solutions to organize manufacturing data, make it accessible and useful, and help manufacturers to quickly take significant steps on this journey by reducing the time to value. Read More.

Why should game companies choose Cloud Spanner to power their games

Organizations globally use Cloud Spanner, because of its unlimited scale, strong consistency, and up to 99.999% of availability. In particular, game companies use Spanner to help scale and solve the many challenges of a distributed system, such as concurrency and load balancing.

November 16 | Google Cloud: Databases

Creating a highly interactive, multiplayer game is not easy. It is in fact one of the most fascinating distributed system problems. The game needs to ensure high uptime, low latency, the ability to scale on demand, and consistent experiences across geographic locations. Read More.

Accelerate innovation in life sciences with Google Cloud

The last few years have underscored the importance of speed in bringing new drugs and medical devices to market, while ensuring safety and efficacy.

November 17 | Google Cloud: Application Development

Over this time, healthcare and life sciences organizations have transformed the way they research, develop, and deliver patient care by embracing agility and innovation.  Read More.

Easily integrate machine learning models into applications with Vertex AI integration for Cloud Spanner

Organizations of all sizes in industries like financial services, retail, and games rely on Spanner to run their mission-critical applications, but efficiently running line-of-business applications is often not enough.

November 19 | Google Cloud: Databases

Application developers often have limited bandwidth to integrate ML services with an application, as doing so requires a learning curve and long-term maintenance overhead. Read More.

How to run a large scale ML workflow on Dataflow ML for autonomous driving

Developing autonomous driving technology is a battle with data, both from a volume and data format point of view. Sources include point cloud 3D data obtained from LIDAR, video data obtained from multiple cameras, GPS position information, millimeter-wave radar, steering and various sensor information.

November 19 | Google Cloud: AI & Machine Learning

In this blog, we will walk through how Dataflow ML can be used in autonomous driving development to find a scene of interest using a data set of images. Read More.

Built with BigQuery: How Connected-Stories leverages Google Data Cloud and AI/ML for creating personalized Ad Experiences

In the field of producing engaging video content such as ads, many marketers ignore the power of data to improve their creative efforts to meet the consumers' need for personalized messages.

November 19 | Google Cloud: Data Analytics

The demand for creative tech to efficiently personalize is real as marketers need personalized video Ads to reach their audience with the right message at the right time. Read More.

Build a chat server with Cloud Run

With Cloud Run — the fully-managed serverless container platform on Google Cloud — you can quickly and easily deploy applications using standard containers.

November 24 | Google Cloud: Developers & Practitioners

In this article, we will explain how to build a chat server with Cloud Run using Python as the development language. Read More.

Marketing Analytics With Google Cloud

When multiple siloed systems and platforms are used to collect marketing data, marketers often struggle to create a holistic view of their performance and the business impact of marketing initiatives.

December 1 | Google Cloud: Developers & Practitioners

If this scenario sounds familiar to you, you’ll be happy to hear that Google Cloud has marketing analytics tools to help marketers bring together data and increase marketing ROI. Read more.

What’s new with Google Cloud

December 1 | Google Cloud: Inside Google Cloud

Want to know the latest from Google Cloud? Find it here in one handy location. Check back regularly for our newest updates, announcements, resources, events, learning opportunities, and more. Read More.

Source: https://cloud.google.com/blog/products/gcp