“We’ve seen platform requests grow from just 2 million to nearly a half billion per month, and Google Cloud Platform supports this growth. Because of this, we can focus more on talking to our customers, listening to their needs, delivering more effective cloud content management system services, and ensuring industry-leading …
“As the telecom industry begins to adopt the public cloud, a solution like ours that’s 10x better in speed and cost is game changing. Previously, we were limited by our database choices. Cloud Spanner was exactly what we needed to deliver those benefits to the marketplace. We’re convinced it will …
“Google Cloud enables our core value to address real problems in education. More than half of our employees are former educators, so we have a deep understanding of the challenges facing educators, students, parents, and administrators. Google Workspace helps us maintain real-time relationships with our customers.”
"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."
"Moving to Google Cloud allows us to complete more sophisticated data analysis and ML models much faster, and at a much lower cost. We can create brand-specific ML models 12x faster and get them into production quickly to address our customers' unique business needs."
“We chose Google Cloud because we are primarily funded by the taxpayer, and Google not only offered the tools, the software compatibility, the flexibility, and the ability to scale that we required, it was also the most economical option.”
“We wanted to tailor all our hardware to our specific needs, so that we could be flexible in how we start, stop, and monitor our research experiments and Compute Engine and Cloud GPUs were key to this.”
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