Google Cloud CEO Thomas Kurian On 10 Hot Topics: Deutsche Bank Technology Conference
Kurian speaks about Google Cloud’s four ‘flavors’ of partners and its differentiated platform offering, security posture, multi-cloud and vertical market strategies, and data analytics strengths among other topics.
Why Customers Are Turning To Google Cloud For Data Analytics
Our capabilities in data analytics are super simple: We want to allow people to combine structured and unstructured data in real-time, as well as large-scale processing, no matter where that data originates from — our cloud or other clouds. If you use Gillette, for example, as a razor, the forecasting of demand for how many razors to manufacture and how to be more accurate in where you need to distribute them, that’s done on our cloud. If you ordered a package, and you wanted to track its delivery, we work super closely with UPS, using our data cloud to help them optimize how long and how efficiently their trucks and their fleet can be scheduled. If you look at Best Buy in the…consumer electronics business, they want to be much more accurate in understanding their customers and merchandising products for them, and their whole data platform in the retail business runs in our cloud.
And then lastly, many, many hospital systems, when a doctor talks to a patient, they need to have a full view of the record of the patient, all of their history, what their biomedical factors may be, the genetic predisposition for certain diseases. And we’ve helped many organizations use that data platform to serve people.
An example of a project that we’re super proud of is we’ve done work with a company in Brazil to deliver...virtual care during COVID to 30 million people in the Amazon. And in order for them to be able to deliver that care, they needed a data platform that could pull all of their data together, and our work with Keralty...has facilitated that.
Data permeates many, many parts of the business in organizations, and our capability and our expertise and our scalable data platform as well as our machine learning (ML) tools are now helping many, many organizations use this capability.