“Millions of customers use our apps and website, so we generate lots of data. Cheerz needed a platform that was capable of processing this information at high speed in order to provide useable insights. Google Cloud was by far the strongest performer in benchmarking.”
“We are extremely pleased with Google Cloud and Firebase. We have been able to differentiate ourselves from our competitors and provide an attractive option for users at a time when content and entertainment options are exploding. We have a great opportunity with Google to continue to improve the value of …
"Google Maps Platform was almost a foregone conclusion due to the familiarity, reliability, accuracy, flexibility, ongoing innovation and relationships with other data providers. It met all our requirements and provided virtually limitless integration capabilities. The improvements we've made with Google Maps have made us realize that we can genuinely make …
“The Google Places, Maps Static and Geocoding APIs enable us to display precisely when and where a transaction took place.”
"With these Looker dashboards, the risk committee is constantly aware of what is happening in real time, meaning the bank can immediately take measures to mitigate risks as they emerge. It’s a significant evolution in the way we manage and control risk."
"We were very familiar with the platform; however, at the beginning of 2021, the company went through a restructuring process. We decided to upgrade Google Workspace to meet the new demands we faced as a consequence of our significant growth, and this involved expanding the use of collaboration services. That's …
“We found that Google would come into meetings, pull their chairs up, meet us halfway and say, ‘we don’t do that, but let’s figure out a way that we can do that for you."
“Being in the data center, the cost equation was relatively straightforward, You buy some hardware and then you use it for three years. Or you don’t use it. Whereas in Google Cloud, it really matters if the box is up and running and you’re not using it.” Having compute resources …
“Because of the complexity of some of the systems, there are times when we don’t have enough understanding of the small steps that are happening in the background. We have noticed that this cost data, these tools, have served us well and helped us identify and fix underlying technical issues.”
“It came down to three major criteria, Number one is the ability to scale on demand. With data centers, you have to plan ahead of time, probably six or nine months ahead, to do provisioning, to purchase the hardware, to be able to install, test, and run it. On the …
"Our roadmap is very driven by what Google Cloud is releasing. We're constantly excited by solutions being rolled out and we devote a lot of time to exploring new features from Google Cloud to help us meet customers' expectations long into the future."
"The potential of using Cloud TPU pods to accelerate our deep learning research while keeping operational costs and complexity low is a big draw."
"Using GKE On-Prem is attractive as it will allow us to manage all of our Kubernetes clusters with a single, easy-to-use console."
"Our goal is to discover 100 clinical candidates in the first 10 years of the company, which would be orders of magnitude more than even the largest pharmaceutical companies can achieve right now."
"Everything went as expected. Our archive of books written by children had over 1 million files and a data volume of 20 TB - which was quite something - and it was successfully sent to Google Cloud without any issues throughout the process."
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