"With Google Cloud, we're realizing our ambitions to grow our range of services and position ourselves to expand into the United States, Europe and Asia-Pacific markets with tightly managed investment in technology resources and a focus on business planning rather than infrastructure administration."
“We are a very small team and we don’t have huge amounts of dollars to manage infrastructure. GCP meets our cost, performance and availability requirements while scaling quickly when we need it to.”
“We’ve had digital transformation projects like Contact Center AI on our vision road map for a while, but now that we’ve proven how quickly we can deploy the virtual agents, we realize we can accelerate our digital transformation strategy.”
“We listen to our customers’ feedback to match our services to their expectations. Google Cloud gives us everything we need to build an app that empowers us to act on that feedback quickly and cost-effectively, so we can continually increase our offerings to customers while keeping their bills affordable.”
“We especially liked that Google Cloud would process upgrades for us automatically, meaning we simply restart our machines and can scale from six cores to eight cores, or from 8 GBs of RAM to 32 GBs of RAM.”
“We’re always looking for innovative ways to help and support our customers, and now, having established our new development environment on Google Cloud with guidance from CTS, we can explore new tools for pushing the boundaries of how we interact with them as a utility company.”
“On the education side, Google Cloud big data tools help us directly integrate into classroom and student workflows, while empowering academic research and other university work.”
“It took a lot of time to prepare data for various teams. We’d have unannounced schema changes and have to validate data selection. From finding, preparing, validating, and delivering data, it sometimes took up to four and a half weeks to complete requests. Simple tasks were, in fact, quite difficult. …
“We needed a flexible solution that could adapt to any request, so we began working with Google Cloud and Localyse to migrate our genomics pipeline to the cloud.”
"Early on, we had to be pragmatic about juggling higher-level strategic work and routine database management. With Google Cloud and MongoDB, we can make AI and automation a more central part of Spoke through the time we save via smarter database tools, and so we can focus exclusively on improving …
“It’s not unusual for organizations to be concerned about cloud security and privacy, but then after implementation, they realize it’s stronger than their previous approaches. We are happy to help UZ Leuven come to this realization as they confidently migrate their genomics pipeline to Google Cloud.”
"Google Cloud and MongoDB just make everything easier. It's been nice to say that we can forget about our database and platform management. That's not something you can usually do, but with its automation and alerting capabilities, we don't have to worry about routine tasks. It just works."
“We had to undertake node upgrade maintenance once a month ,and it took our team several hours to complete each time. Furthermore, sometimes we needed to change node instance types to optimize resources for application updates, and this could take a few days. With Google Kubernetes Engine in Autopilot mode, …
"Financial markets are becoming fundamentally decentralized and unbundled. The services that large legacy banks and brokerage firms used to offer are being supplanted by Tradier's microservices and APIs, which power innovation."
"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."
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