“Our vision is to generate value and dynamism in the region. Not just by facilitating consumption, but also by supporting production, enabling businesses to easily offer their products online. Google Cloud supports our mission with a reliable, self-managed infrastructure that lets us focus on our core values.”
“It would have taken several months to prepare the equipment because of the delays. With Google Cloud, we can prepare a development environment that same day, so the speed is considerably faster.”
"This project never could have been so successful without the extraordinary cooperation and relationship with Pluto7 and Google. From day one, it felt like we were one team, and that camaraderie grew, from the initial model in the Makeathon, to the 60 percent improvements we saw per run in barrelage."
"We chose Google Cloud because of the availability of managed AI services, especially those related to high-quality natural language processing with a response time compatible with our services, which are in near real time."
“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.”
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