“We work closely with the open-source world and open-source products such as Apache Beam and TensorFlow, which is the basis for our entire infrastructure. It’s clear that Google Cloud, with its focus on open-source technology, particularly TensorFlow, is the best platform to support our approach to machine learning.”
“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 …
“As a senior leader within the organisation, I see the key benefits of GCP and other technologies being lower cost; greater efficiency; and improved business continuity. For example, the current data center team can be redeployed to other initiatives as the technical experts at GCP will be undertaking most of …
"As we continue to grow, understanding the market better is a priority for us. Through BigQuery, we can easily analyze data and determine what the next steps are for us in terms of expansion and identifying our target market."
"Unlike Singapore where postal codes pinpoint exact locations, addresses can be quite difficult to find in Indonesia. Google Maps Platform helps solve this problem by allowing customers to drop a pin on their location, so that their items can be delivered to the right place."
“I chose Google Cloud from many platforms because, at the time of selection, it had multiple managed services such as Vertex AI, the managed notebooks option, and Vertex AI Training that were useful for AI development. It was also fascinating to have high-performance hardware that could handle large-scale machine learning …
“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.”
“Previously, we would often run into issues whereby our virtual machines (VMs) couldn't cope with the growing number of users. Searce helped us revamp our entire infrastructure on Google Cloud so we could scale up according to the necessary workload."
“We are part of a story that is being told as we speak, with tools that our customers know and trust. With that, we gained scale, allowing us to do more prospecting, take part in more meetings and close more deals as a result.”
“We wanted to keep evolving, but couldn’t stop to check what had already been done, how to improve our legacy infrastructure, what to do with all the things we already had.”
"We learned from our previous experience that to improve our gaming services, we needed a more powerful cloud infrastructure. During our evaluation process, Google Cloud stood out in connectivity, virtual machine performance and security, meeting all our requirements."
“When we heard about the launch of the Cloud Healthcare API, it was a beacon for our search. We’ve always been drawn to cloud-native apps. In a complex environment such as HL7-FHIR, having the chance to use a managed cloud product as a service helped us make a real difference.”
“The dataflow platform is organized around events, and that’s important. The Cloud Healthcare API handles those requirements for us, and Google Cloud’s solutions have helped us streamline processes. Based on that, we have begun exploring other cloud tools.”
“Knowing policyholder data helps us improve healthcare and engage physicians, as they now have more tools for examinations and diagnoses. This also makes care comprehensive. That’s why we see a lot of potential in Google Cloud’s tools, which provide us with a new approach.”
"We’ve done a comparison test, and found that Google Cloud not only has a data center in Taiwan, but also stood out by supporting the best performance and user experience. At the same time, we've had excellent experience from using Google Workspace for Education for more than 10 years and …
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