"The idea to start improving some operations fueled our decision to look for something that would help us replace desktop standardization, with better pricing, better user collaboration, and sharing information more easily. That's when we reached out to Google."
"With a spirit of constant innovation, we’re always looking for new ways to enhance the guest experience. One way we’re doing so is by developing an enhanced version of the Hilton HHonors app with the Google Maps Platform. We're developing a proof of concept iPhone app with the functionality we …
“Email would be down two or three times a week for three or four hours, leading to many user complaints. Also, we didn’t receive some emails and others were never sent; they just got ‘lost,’ especially because of the large number of viruses we got in our inbox."
“With our AI-based symptom checker and clinical support technology, which we have been developing since 2013, we will make healthcare accessible to everyone by creating a ‘search engine’ for healthcare. We are going to go full throttle to realize our company mission as soon as possible.”
“People trust us with very sensitive information. One of our main reasons for opting for Google Cloud was the need to work with a provider who takes data protection seriously.”
"The beauty of BigQuery is that we could start small and grow, without large upfront costs. That made it easy to do proofs of concepts, prove to people that it would work, get support for the solution, and grow data utilization."
“Our engineering team had no capacity to help, and we needed Looker to do it quickly. The POC was fast and well executed. We felt so much support from every aspect of Looker.”
“We were looking for things like performance, scalability, and reliability. If you’re a global operator and want to serve different parts of the world, you have to aspire to a certain level of performance. Google helped us do that.”
“With Flywheel on Google Cloud Platform, we can stay closely connected with labs down the street or around the world, greatly increasing the efficiency of our collaborations by simplifying the process of data and computational sharing. We’re helping to keep our researchers focused and productive.”
“We’ve seen huge increases in lab productivity by running Flywheel on Google Cloud Platform. Instead of spending half my time managing our compute infrastructure, I can work with our researchers to develop better methods.”
"Google Cloud listened to our needs and worked in tandem with our engineering team to address our challenges. The ease of working with their team and their breadth of experience made the decision a no-brainer, laying the foundation for a great partnership."
"We're impressed by all the tools to run our stack, including Windows workloads on Google Cloud. We now worry far less about hosting and we've already seen solid improvements in IT performance such as reliably handling 35 million daily requests while reducing error rates."
“Our review found that Google Cloud provided the best containerization technologies in the market, allowing us to run our applications in a scalable, consistent environment and use Kubeflow to simplify deployment of our deep learning workloads.”
“Automating our machine learning jobs and running learning workloads becomes easier and more cost-efficient with Google Cloud's tools and training.”
"Our decision was based on the need to modernize our own platform to benefit our teams. We also intended to improve scalability and achieve the best standards in the market, so that we could fine-tune our infrastructure and add more value to our business. That's why we chose Google Cloud."
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