“In every test our engineers did, Google Cloud Platform came in as better, faster, and more cost effective than the competition. Google Cloud Platform is more data-oriented than other cloud providers, making it a better match for our needs and our customers’ strategic initiatives.”
"With Google Cloud, we have managed to help our customers greatly improve their services and management efficiency by quickly developing features that address their needs. We will continue optimizing and expanding our services while exploring more potential applications of Google Cloud."
“BigQuery for us is a magical tool that we can use to explore data.”
“One of our key challenges is to reduce time to market, while making sure that the solutions we launch for our clients remain secure and reliable. That’s why we decided to move to the cloud, and as we wanted to use Kubernetes, Google Cloud was the natural choice.”
“Because we’ve been able to automate our deployments on Google Kubernetes Engine, the risk connected to the development life cycle and new feature deployment is much lower. That enables us to achieve a faster time to market without compromising on security or availability.”
“Understanding the genetics of the Brazilian population will not only help us understand our history but also greatly improve the quality of genetic tests, which will in turn directly help our patients.”
"You can move much faster building products on Google Cloud than on AWS."
“It’s a new market, but the potential is huge. So the main goal has been to identify a way to launch small and rapidly scale up, in a cost-effective manner.”
“We want to be on the cutting edge of healthcare provision today, and that means adopting AI and machine learning technologies to access insights from data and use it to make our services more patient-centric. With its AI-first approach, Google Cloud stands out from other cloud providers.”
"Discovering optimal uses for powerful Google Maps tools such as Place Details API, Places API and Geocoding API transformed our ability to grow our business and bring in a new generation of customers. Partnering with Searce opened new possibilities in Google Maps that we never before imagined."
"To increase the accuracy of the deep learning model, the training must be repeated and the parameters revised countless times. In the past, it took around 20 days of training for the model to process tens of thousands of pieces of data, but since we have migrated to Google Cloud, …
"We used Cloud Composer to orchestrate ETLs, whose ingestion is done through Dataflow. BigQuery was used as a data warehouse. Everything was automated using Cloud Datastore as setup."
“As a new fintech, trust is a huge factor in how we gain and keep customers. Every millimeter of our app where we can build trust and show them something familiar is really valuable. I don't think there's another map platform that’s more familiar to consumers than Google Maps Platform.”
“The stability of Google Cloud’s Apigee API management platform and the strength of its services stood out."
“Our patient-driven direct research combined with rich clinical data is providing breakthrough insights to complex immune response through the engagement of thousands of research subjects in longitudinal research. The ability of population-scale data analysis of autoimmune diseases promises new precision methods to help patients and physicians manage disease more confidently.”
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