"Google APIs and Google Cloud Platform easily integrated with TranslateLive and worked alongside our existing services with just a couple of lines of code. They added valuable performance gains and functionality to the TranslateLive platform that allows for real-time translation at scale."
"We want to create a sustainable, cost-effective cloud strategy that will provide flexibility to support business decisions over the next five years, so we're looking at solutions that can grow with us. That’s what we’ve found in Google Cloud and its BigQuery data warehouse."
"Our first client was a t-shirt shop with one store and one till. Now, our largest client operates on four continents. With each client that we bring on board, we need to scale dynamically in real time, as many factors, including weather and peak trading, impact in-store sales and transaction …
"Our decision was based on the need to modernize our own platform to benefit our teams. We also intended to improve scalability and achieve the best standards in the market, so that we could fine-tune our infrastructure and add more value to our business. That's why we chose Google Cloud."
"Applications were migrated when we completed the foundation work on Google Cloud, after verifying it was a secure, stable environment, suitable to receive the workloads. We defined migration waves together with Tembici based on the structure planned for Google Kubernetes Engine, ensuring zero impact on operations."
"Since moving to Google Cloud, we've achieved our goal of improving time to market for new features and resilience in the face of expected and unexpected peaks in traffic. I believe it will help us to sustain the growth we're expecting over the coming years."
"Another significant metric was the 40% reduction to the number of days for the negotiation cycle. Before, we needed 25 days from the initial contact to payment confirmation, and now we only need 15 days. Our sales volume has grown by 35% and we are now able to open more …
"Google Cloud Platform services like Cloud Pub/Sub, Cloud Dataflow, and BigQuery allow us to minimize the effort and resources needed to build data pipelines for airline customers and focus instead on the quality, volume, and velocity of data."
"Google Cloud managed services give us more time to strategize our data pipeline architecture and allow us to be less concerned about maintaining the infrastructure."
“It’s clear Google wants to go above and beyond with its infrastructure. Google is taking the extra step to solve customers’ problems, rather than making customers work around those problems.”
"Cloud ML Engine enables us to obtain insights from large data volumes in an unbelievably convenient fashion. We use data preparation, model training, and prediction in combination to achieve great results."
“Google BigQuery is one of the most transformative technologies I’ve used in years. When someone in the company needs a report, I can slice and dice data any way they want it.
"We come to work every day at Travlytix because we want to solve the biggest problem in travel — data. Airlines, online travel agents, and travel ecommerce companies face challenges capturing, processing, and utilizing data to maximize revenue and efficiency. They struggle with fragmented ecosystems, dated technologies, and communicating objectives …
“We integrate digital networks for our customers globally. As we continue to drive deeper customer engagement and expand into new geographies, data-driven decision-making becomes critical. STL’s data lake, built in Google Cloud, empowers us to do that by securely managing and analyzing large volumes of diverse business data. It has …
"We focused on three aspects: citizenship, technological tools, and committed employees. This path is irreversible and has allowed us to provide more accessible, user-friendly, efficient, and secure responses to our users."
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