“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 …
“It’s a fairly complex SaaS solution, but because of the flexibility and scalability of Google Cloud solutions, we can spin up a new Reveal client within 10 minutes.”
“With so many people accessing the same spreadsheet and possibly changing fields, it was crazy, time consuming, and confusing.”
“Especially with the cloud, the easier it is to integrate a vendor’s capabilities with others, the better for everybody. Google Cloud was able to integrate with other vendors’ capabilities for this project.”
“We are providing more effective and efficient service to our customers through 24/7 access to information and by reducing the proportion of staff’s time in responding to emails and voicemails to answer our customer questions.”
"We make customers AI-ready by enabling them to create unified data lakes they can use to pilot AI use cases."
“Having a specific technology requirement voiced by an agency was visionary and very welcome. It meant they were engaged and excited about the possibilities that these new technologies had to offer.”
"Data ingestion from partners is very important to us in building a risk model because we rely on it for underwriting. Google Cloud enables us to build the right features that feed into our model, so that we can ingest different types of data into the system without worrying about …
"With Google Cloud, we were able to quickly roll out new repayment features to our customers during the COVID-19 pandemic in under a month, without any hiccups in the system."
"With Google Cloud, we were able to quickly roll out new repayment features to our customers during the COVID-19 pandemic in under a month with the help of Cloud Run, without any hiccups in the system."
"We chose Google Cloud as our cloud provider before we even started building anything. We knew what we wanted to do and it was easy for us to figure out the de-facto way to do that on Google Cloud."
“We decided to start operating with Google Cloud to leverage scale from day one, using a cloud infrastructure so as to avoid the need of managing physical servers. We chose Google Cloud because of all the managed services it offers and our trust in the experience of Google in its …
“We always had our environment in mind, we didn’t want a ready-to-use infrastructure where we could insert our application and that’s it. We always focus on generating quality code to test and scale and, likewise, we needed a well-designed infrastructure to do everything more efficiently."
“We’re using more advanced data science to provide greater benefits and reliability. We can save our customers up to 5% on their energy bill. When customers spend tens of millions of dollars on energy every year, that adds up to huge savings.”
“The collaboration that we had with Google and Taos was one of the highlights of the year. Everyone came together as one team working to create a stable cloud solution ready to meet our customers’ needs.”
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