“We thought if we could be a member of the community that embraces the innovation captured in Google Cloud Platform products, we could continually improve our ability to seize opportunities and solve problems for our clients.”
"We don’t even see 99% of the things that we would have had to manage without App Engine. If a server goes down, we don’t know about it. We’re able to rely on Google to take care of it."
"To provide high-quality and innovative visual IoT services, having excellent global network connectivity and powerful ML model training resources is key. Google Cloud met all our needs in those aspects."
"The globalized infrastructure in Google Cloud also allows us to think about future growth, as users can access from anywhere."
"There are several factors driving our digital transformation at the moment. It's the speed of our response that differentiates LSA Courtage. The French insurance market is very competitive with a lot of pressure on margins, so we need to constantly improve productivity."
"As the number of our customers and their e-commerce businesses grew, we needed a more stable and scalable infrastructure to ensure the service quality. Compared to on-premise servers, using a cloud platform like Google Cloud can help us reach this goal at lower operational costs."
"In the past, our data analytics team of 20-something employees used to each spend at least four to six hours every month to manually generate sales reports. Using BigQuery and Looker Studio to process data automatically has enabled us to fully eliminate this workload."
“To cope with peaks in traffic reliably and cost-effectively, we needed a smart cloud infrastructure that would scale with our demands in real time. We also wanted to leverage the data we’re collecting through our digital channels to transform our customer experience. Google Cloud helps us achieve both.”
“Google Cloud and BigQuery is the clear frontrunner in big data analytics and gave us the best opportunity to build our business intelligence capabilities using our large volumes of geospatial data.”
“The AI platform, for example, allows us to easily create notebooks to use R or Python in combination with BigQuery or machine learning to perform large-scale statistical analysis of genomic data, all in the cloud. This type of analysis is particularly effective when the data is large and heterogenous, which …
“Back in 2017, Google Cloud was the first vendor to offer a managed Kubernetes solution. With other providers, we would have had to manage Kubernetes master and worker nodes manually. For us, there was simply no comparable offer.”
“The ideal situation in our view. Is that a customer or business pays a flat rate every month, for which they get one or more leased cars, a heating system, a solar panel system on their roof, plus residual electricity.”
"This project began mainly as an initiative to save costs on internal tools that we use throughout our development activity cycle. We started to explore some options and found that Google Cloud offered many advantages in the implementation to help us reach our goals."
"We didn't have much experience with Google Kubernetes Engine, so being supported by Google Cloud engineers, who are the most experienced in implementing tools, was crucial when we decided to transition to their proposed solutions."
"From a business point of view, we intend to keep our high growth rates. Expanding brings complexity, and complexity slows you down. We have to keep agile to adjust our value proposition to customers and continue growing."
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