-
"Making the transition to Firestore allowed users to do that without us having any concerns of the database breaking down."
-
“The cost of researching the effectiveness of video content is very expensive. That’s why we created flowsam using Google Cloud. When you run a video through flowsam’s artificial intelligence (AI) software you can quickly analyze its strengths and weaknesses.”
-
"Kubernetes is one of the best tools for cluster management, and because Google designed and developed Kubernetes, it made sense to move our entire platform to Google Cloud. We also needed load balancing and auto scaling features which were readily available with Google Kubernetes Engine."
-
"To deliver the best online multiplayer experience, we need a global low-latency network for smooth gameplay and faster responses between client and server. This helps keep gameplay fair for everyone, wherever they are globally, and is vital for our esports initiative, which recently expanded to Latin America and Asia."
-
"Our collaboration with Google Cloud gives us the speed, scalability, and AI capabilities to transform data into real business value. It provides the credibility we need with customers and investors, giving us the confidence to scale our vision beyond Cambodia."
-
"Google Compute Engine lets us split usage into projects, so it's easy to manage costs. We also love the fact that we don't have to commit to specific VM types. We can use the resource pool according to our needs. And of course, the super-fast start-up times are great."
-
"Our customers want to get under the hood to understand their data and generate their own reports and dashboards, and services such as Looker enable that."
-
“Kulula.com is our low-cost airline brand, and one of the market leaders in affordable air travel. British Airways is our premium and corporate airline brand that we operate as part of a license agreement. So we offer something for everyone in the region.”
-
"We realize that our industry is changing, and we are now an entirely AI first business. Data underpins everything we do, and we believe Looker provides the new baseline of semantic data required to enable future focused, predictive work. It allows us to move beyond telling clients what happened, to …
-
“We’d grown so much that our data centers were becoming too expensive and hard to manage. We wanted to build a more reliable and scalable infrastructure without sinking costs into physical servers. In terms of value for money, we realized Google Cloud would be the best solution for us.”
-
"The single biggest barrier to enterprise AI is trust. By using Looker’s semantic layer to ground our GenAI models, we’ve solved that. We are no longer just looking at dashboards; we have built a closed-loop system where Looker actively triggers agents to diagnose data and create actions. It’s not just …
-
“Google Kubernetes Engine has been incredibly stable for us. There haven’t been any outages due to the infrastructure going down. It’s also very easy to manage. If we need to add more servers because of a spike in players, we can do that very quickly.”
-
“In under a minute, I was able to define a dimension that says ‘is COVID-19 high risk.’ I added the logic and then instantly, across our entire member population, we had this ‘is COVID-19 high risk’ flag.”
-
"In programmatic advertising, we need to be able to react quickly in order to win new clients and to build successful, dynamic campaigns. We felt we'd hit a wall with our previous infrastructure, and wanted to spend more time on creating value. That's what migrating to Google Cloud offered us."
-
"What struck me about BigQuery and Looker were their simplicity and cost-effectiveness. Their visual development tools make them easy to learn, and with Google Cloud, we'd get a whole ecosystem of tools with built-in AI. Google Cloud is ahead of the competition."