Why Google Cloud’s Data Analytics Tops The Competition: Debanjan Saha

The know-how business is in technology three of the cloud computing journey – the info cloud period – in response to Debanjan Saha, and he sees Google Cloud, with its knowledge analytics prowess, as having the perfect likelihood to guide it.

Gen 1 of the cloud journey was about bespoke SaaS functions for enterprise makes use of similar to CRM and ERP, stated Saha, vice chairman and common supervisor of knowledge analytics at Google Cloud, whereas gen 2 centered on cloud infrastructure, the place rival Amazon Web Services (AWS) had a head begin.

“Gen 3 is going to be around data cloud,” Saha stated. “It is about using data to transform business. And this is going to be bigger than anything else, because this is not just reducing your costs by moving from on-prem to cloud. This will be about creating additional value by transforming business. Because of Google‘s investment in data — and experience in data and analytics over a very long period — we really have an opportunity to lead this and help our customers really take advantage of cloud in a very different way than what they have been able to do in gen 1 and gen 2 of the cloud journey. And that’s what I’m really excited about.”

Saha, who previously served as a vice chairman and common supervisor working managed database providers and cloud-native databases at AWS, outlined the highest the explanation why he believes Google Cloud’s knowledge analytics capabilities high the competitors.

Google has been within the knowledge enterprise for over 20 years – “long before cloud became a thing,” Saha stated – and lots of the property that it’s constructed for its inside merchandise and functions can be found to its enterprise prospects.

“We have been in the business of organizing the world‘s information for a very long time,” Saha stated. “Data is in our DNA, and that’s what drives Google. There are, I believe, 10 Google applications which have more than a billion users — and this includes Google Search, YouTube, Gmail — and all of these applications generate a lot of data. And we have built our data and analytics and AI/ML platform to use that data to better-serve our customers.”




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