"We have implemented several ML algorithms using on-prem infrastructure, our previous cloud vendor didn't have similar capabilities that BigQuery offers out-of-the-box. We're now looking at the BigQuery ML stack and Vertex AI to power the ML pipeline."
“We have always had good communication with the Google Cloud Speech team, so we’ve been able to tell them which features would be useful to us.”
"Our vision is to be the partner of choice for organizations, delivering value with innovative solutions, technologies and human intelligence. With Google Cloud, we can realize this vision by delivering cutting-edge business process management solutions that elevate our customers' performance and efficiency."
"We started this process with networking, authentication, and billing strategies. Later on, we created data layers in Cloud Storage and BigQuery to accommodate the on-premises solution's information through an integrated pipeline. Only then did the analytics and machine-learning initiatives begin."
“Building an AI solution is a big commitment, from recruiting AI talent to investing in the infrastructure. That’s where we add value as a third party with the people, process, and AI capabilities on Google Cloud to take on non-core tasks such as mapping and tasks in a cost-effective manner.”
“Tasks such as scaling up and down, rollouts, and rollbacks used to require a lot of scripting work on our legacy platform. Google Kubernetes Engine simplifies DevOps processes such as auto-scaling and rolling updates, so we don’t need a team of five to maintain the infrastructure and pipelines.”
“Today, no machine can process data at such scale and run complex AI algorithms at speed on a single node. Our distributed computing architecture on Google Cloud gives us a competitive advantage and positions us well for the future.”
"Our story with Google Cloud began in early 2021. The company’s FinOps department was created right after that to ensure control over costs and efficient expenses."
"We promoted workshops extensively, particularly last year, to build strategies across our teams. Together with Google Cloud, we also conducted an analysis, tackling needs and assessing essential data to track the bank’s progress. Our organization also benefited from the training sessions and consulting provided by Cloud Hero."
"Fórum FinOps was created due to the need and the requirement to show cost optimization opportunities. Everyone involved gained access to the data and began discussing and acting on those analyses. Currently, new employees are introduced to that culture from day one through an onboarding process."
"Apigee has become the central nervous system for all communications between the digital core banking, the microservices, the frontend, and the apps. Apigee has become our sun. Everything rotates around Apigee."
"You always need to be where everything happens, close to leaders and innovating continuously. Our partnership with Google Cloud is being where knowledge is created."
“It gives us a lot of confidence knowing that Google Cloud trusts its own infrastructure enough to stake its business on it. We knew we were choosing the best provider.”
"Our on-prem architecture held us back from growing at the pace of our ambitions. By switching to Google Kubernetes Engine, we gained an unlimited ability to scale our solution and unleash new innovation."
“Using Google Maps Platform eliminated many development challenges and gave us the data we need. When we moved onto Google Maps Platform, it was a big moment for the entire development team because that’s when we knew we had the resources to make this game a reality.”
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