"It is very clear that the Mobility services implementation significantly optimized our driver and consumer-facing applications. Our app now directs drivers to the exact spot selected by customers, and being able to rely on its accuracy means drivers are safer, ETAs are calculated correctly, and everyone saves time."
“With Google Cloud at the core of our infrastructure, we can grow our customer base and revenue without a corresponding increase in support and operations engineers. Last year we achieved 600 percent revenue growth without adding operations headcount.”
"We had been gravitating to Google Cloud and Firebase solutions and decided to explore moving our workloads to Google Cloud. Our first step was to ask what was the most effective way of running these in a containerized application and Google Kubernetes Engine—the industry standard—was the logical answer.”
"Thanks to the seamless interplay of advanced Google Cloud features, ranging from BigQuery to Cloud Run functions and Vertex AI, we are able to spread our mission of lifelong learning and life transformation. We gained superior scalability, flexibility, and security, with the ability to offer curated solutions powered by generative …
"By migrating our ML pipelines to Vertex AI we have achieved significant improvements that have combined to increase productivity and operational efficiency, leading to success in numerous projects that enrich the user experience for members worldwide, while boosting our business model."
"Our user base is huge and we have partnerships with all the telco companies across Indonesia. To avoid bottlenecks, we needed a solution that would be able to handle peak traffic at any time, and we found Google Cloud to be the most reliable."
"The integration was straightforward. We collaborated with Google engineers to fine-tune the AI model, which became a standalone application on our Google Cloud environment."
Existing options missed steps, which led to unsuccessful learning outcomes in skills development, and no one has ever incorporated important pedagogical principles into existing learning management systems."
"We needed a solution that would allow us to hyperscale to one million plus active customers, with a modular architecture that enabled load balancing and could upscale or downscale in real time as needed."
"We would have struggled to launch without the support of Google Cloud customer engineers. They have worked extensively with us on the architecture, ideation, and taking the product to market."
"Our engineers preferred to work with Google Cloud because of how intuitive the platform is, which prompted us to move all of our applications onto the same platform."
"The beauty of BigQuery is that the compute part is kept separate. It’s not tied to traditional transformations like extract, transform, and load (ETL) pipelines, which means that we can take data, place it in BigQuery, and transform it later on. This flexibility has been tremendously helpful from an operational …
“We aim to connect and resolve the problems of today for India’s households, and this led us to launch a platform that can provide access to information and listen to the needs of a common man."
"Managing these large volumes of sensitive and diverse data, including medical images, patient records, and diagnostic reports, in accordance with strict compliance requirements, was essential to our business. This led us to Google Cloud."
"We needed a cloud data warehouse that supports high-performance data analytics, so that we could provide compelling content and realize accurate ad targeting based on data insights. Google Cloud provides the most cost-effective data analytics solution on the market."
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