“Rather than building your own infrastructure and taking time and resources away from your company, you can use Google’s infrastructure and know that it’s scalable and secure.”
"We wanted to cut costs with our technology platform but also improve collaboration. We are a complex, multi-stranded organization. The only solution we found that suited our needs was Google Cloud."
“The drive toward Google Cloud Platform was to get beyond performance bottlenecks and leverage Google machine learning on a cloud platform that scales and is cost effective.”
"Those factors made a difference, as did Google Cloud’s history and what we knew about their vast array of offerings. In the end, we approved the choice, especially due to the cost-benefit ratio, which generated gains on several business fronts."
"As for Data Fusion, while we were creating the data pipeline and even before finishing the project, we developed complex integrations in less than a week. This is an example of progress, an assurance that the solution can favorably cover us in an emergency."
"The environment itself drove a culture change. We are now oriented toward data-based decision-making. We can respond by making improvements and anticipate sensitive changes. The perspective brought by exploratory analytics and comparisons resulted in this mindset change."
"Our main challenge is the complexity of the data that we use to map the French real estate market. We have to handle a lot of geographical data, which is heterogeneous and varies between regions, which is why access to powerful and scalable tools on Google Cloud is so important."
"Cloud services used by the government must be certified and registered with Information System Security Management and Assessment Program (ISMAP), a security evaluation system for government information systems operated by the National Cyber Security Center (NISC). After narrowing down the candidates by price and after sales support, we decided to …
“We chose Google Cloud because of its scalability and the fact that it has no infrastructure and maintenance cost. As a startup, cost is an important factor, and not having to allocate cost for maintenance was a huge benefit, not to mention the integration with Firebase Analytics, which is what …
“We have different groups of creators and publishers and different groups of readers all around the world. Without the help of big data and AI enabled by Google Cloud, I don’t think we would have been able to build this platform we have today.”
“We believe that leveraging the power of data enables us to create the best possible game content for our users. Google Cloud provides all the data analytics tools we need to achieve that and seamlessly connects to the Google Analytics services we have been using.”
"With VertexAI, there was a significant improvement. The models were far easier to fine-tune. We are able to use smaller models, enhance their performance, and tailor them to specific tasks, and get comparable results with much shorter response times."
"We're a small team, and working with Google Cloud has made it possible to achieve so much more that we initially thought possible. We're now able to deliver smart, capable tools that make a real difference to our users."
"Security is extremely important to us, as our customers trust us with access to their work tools. Google Cloud offers a secure setup with transparent encryption standards, which is reassuring for both us and our users."
"As we continued to scale the business, we found more need for distributed data processing. The database was subdivided more systematically and managed and operated by each project. Previously, we had one large database and operated several services within it, but now we needed to configure each database account to …
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