3,317 Google Cloud Platform Testimonials

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  • "As soon as we make a request to trigger new code through Cloud Build, we can see it being deployed, tested, and instantly reaching users. Google Cloud abstracts all of these tasks away from us. That means we can focus on building the platform rather than maintaining cloud solutions."

  • “We’re assessing potential monitoring tools, considering how observable a microservice or app area is. We think that the more data we have, the better, either to report unavailability periods, correct mistakes, or think about the future.”

  • “We want to become more structured in the way we work. The way Google Cloud is set up is ideal for this. It’s very well-structured: there’s everything from totally managed services, to services that are not managed at all. We set the cursor for where we want to be.”

  • "Based on our proven experiences, we believe that adopting a cloud environment is the most feasible way to provide stable news services despite traffic surges. Google Cloud stood out among all the offerings with its intuitive interfaces and competitively priced computing resources."

  • "It's not a zero sum game. We need to win as a society and not just make farmers grow more with less."

  • "Without Google Cloud, there is no SeeTree. We have hundreds of millions of data points that need to be translated into features in a split second. The ability to have BigQuery as the core database is critical."

  • "The simplicity of AppSheet makes the difference. This is my advice: give it a try. Identify a suitable use case and try to develop it autonomously with AppSheet. Working on it within the team is an added value."

  • "Since around 2000, we have been entrusting customer data to analyze and create reports to solve problems. As an extension of these operations, we were also delivering catalogs and direct mailers. KAIDEL was born with the aim of finding more customers through marketing."

  • "At first, KAIDEL used another AI platform, and we needed to move data to create data for machine learning in another on-premises environment. But it took a lot of man-hours to transfer the data, and if the amount of data was large, it took a long time to migrate. On-premises …

  • "Google Cloud has an excellent GUI, so marketing members can also intuitively participate in the utilization of the tool. Until now, the effect was that it would be convenient for a specific team and that sales would increase for a specific department. From now on, we can expect synergy effects …

  • "When we started using Cloud GPUs for our Gen AI applications recently, we found a valuable partnership with the Google Cloud team. Their expertise in the field has really helped us work through our challenges in this new and rapidly changing environment."

  • "Alongside the strong support we receive from the team at Google Cloud, having everything on the same platform would make it easier for us to manage as we continue to grow and scale as a company."

  • "Besides universally popular casino games like poker, slot machines, and fishing, we've also developed games adapted to different cultural contexts, so as to cater to gamers' wide-ranging preferences."

  • "Patients with lung cancer usually don't present symptoms until it's too late. There's a lot of suffering in a battle with very grim odds. With our technology, we use data science to help downstage the diagnosis of lung cancer and improve the chance of recovery."

  • "There were too many hurdles to overcome on our own, so we turned to Vertex AI to augment that benchmark for us."