"Given our choice of architecture, Kubernetes was the obvious choice. This made Google Cloud a logical and optimal choice to support our development, and manage fluctuations in our network traffic with large peak loads. And to be able to complete this large-scale project, our first thought was a Google Cloud …
"The support provided by Google Cloud teams played a major role in helping us tackle both our technical and business challenges. They also helped us connect with potential partners and create new business opportunities."
“Our goal at Freightos.com is to help people work together across the globe. To do that, we wanted to work with the best hosting and mapping provider. Along with Google Maps Platform and Google Workspace, Google Cloud is at the heart of what we do at Freightos.com.”
“Rapid, reliable access to data is critical. We needed to improve how people could capture and share data, which was proving to be a challenge. We decided to build a centralized data portal called the National Response Portal (NRP) for healthcare providers.”
"Google Cloud drives our analytics and machine learning needs. With BigQuery and Cloud Machine Learning Engine on Google Kubernetes Engine, we have an insights platform that's customized for our performance, IT, and cost requirements."
"Robots generate a lot of structured and unstructured data. We needed a cloud platform that can scale to store, process, and secure all that data in real time."
"As a digital native company, we've always been operating in the cloud, but it was only in 2018 when it started scaling up that we realized the importance of having an infinitely scalable platform, and turned to Google Cloud. We've not seen any downtime since."
“That’s why students turned to our platform in record numbers. This didn’t just challenge us in terms of the sheer traffic, but also made us think about features to help our students get back on track with their education.”
“The kinds of problems students encounter are pretty similar around the world, but we need to make sure that we can solve them in multiple languages. Other AI solutions we looked at focused mainly on English and a few additional languages, whereas Vision AI enables us to support our students …
“At launch, only a small percentage of queries delivered an instant answer in the US region. By improving our machine learning algorithms with TensorFlow, we’re achieving ten times more, and that number is growing. More than 70% of our users are very happy with the results they’re getting, which is …
“Scaling up generates more cost, and the ability to switch between the online and offline OCR solution gives us an additional opportunity to control costs."
"We wouldn’t have gotten off the ground without a versatile cloud storage solution, and we chose Google Cloud because it's global and we’re taking the business global."
"We had been using automated tools to provision virtual machines, but this was time and labor-consuming. The GKE Horizontal Pod Autoscaler scales things up for you automatically, it does the work for us, which is something you don’t find in open source components."
"Google Cloud made it easy to build an ML platform to quickly iterate through different brand intelligence use cases and release data-driven product features into the Brandfolder platform."
"Google gave us startup credits and a lot of face-to-face support, which we hadn't experienced with other cloud providers. We decided to move our entire infrastructure to Google Cloud."
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