"When done manually, it takes days to get images ready to upload. The idea of training an AI to handle that kind of unstructured data was unthinkable. But with the power of cloud technology and machine learning, that's what we've done."
"This enables retailers to recommend the products and services that best suit the needs of each individual customer."
"Knowing the best time to spray can mean using less pesticide or even a non-toxic alternative in a more targeted area. This is much better for growers and ultimately for consumers. This can lead to lower costs for growers and respond to growing consumer pressure to reduce the use of …
"We want to focus on our product and allocate our resources to development, so we can keep creating value for the company. We want a partner who we can rely on to deal with the operational side of things. That's why we choose to continue working with Google Cloud."
“We use Google Cloud AI Platform with our self-trained models, or with models directly provided by Google Cloud AutoML. The technology automatically recognizes an image’s style as well as users’ particular preferences in terms of interior design based on their previous behavior.”
“Trust plays a huge role. We know that with Google Cloud we are making a rational decision which reassures our executive committee as well as our clients. Google Cloud gives a certain credibility.”
"We are moving toward a ‘phygital’ approach to retail and finding ways to unite in-store and digital experiences."
“NICO.LAB was created to transform cutting-edge academic research into products that can be successfully integrated within clinical contexts. Google Cloud technology gives us all the tools we need to deliver StrokeViewer on a software-as-a-service basis: speed, accuracy, and easy scaling.”
“Deploying StrokeViewer on Google Cloud means hospitals don’t have to install any additional hardware, and it’s compliant with all current hospital systems. We aim to provide as many stroke patients as possible with the right treatment globally, therefore, using such a scalable cloud infrastructure is a huge advantage as we’re …
"Our mission is to change the way children learn science around the world. In Google Cloud we met a kindred spirit. Tools like Cloud Build, Cloud Load Balancing, and Google Kubernetes Engine enable us to deploy fast and scale instantly to keep pace with the growth of pupils' minds."
"As soon as we make a request to trigger new code through Cloud Build, we can see it being deployed, tested, and instantly reaching users. Google Cloud abstracts all of these tasks away from us. That means we can focus on building the platform rather than maintaining cloud solutions."
“With help of DoiT, our transition to Google Cloud was smooth and efficient. DoiT engineers were there to answer all of our questions, consulted with us on best practices for Google Cloud deployment, and helped us solve any issues that arose, quickly and efficiently.”
“To solve the SME credit gap with technology, we may need to make a sideways or lateral move in terms of our product. Vault Core on Google Cloud gives us the flexibility and flavor to offer new services by adding modules to our core platform without buying additional software licenses.”
"The car industry is migrating to vehicle interconnection. This has put the spotlight on technology, because current users value it more highly when choosing a vehicle. That’s why the industry is navigating a new stage."
"When you learn to use Google Cloud, it is very efficient, very inexpensive, and quick to deploy. What used to take us months in a traditional development can now be done in just weeks."
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