How to architect an AI/ML powered Healthcare platform on Google Cloud

Sept. 7, 2021

Here is the link.

Vida Health → https://goo.gle/3mVWJnA Blog → https://goo.gle/3terhSr Ever wonder how healthcare companies deal with massive amounts of data from multiple sources? In this episode of Architecting Cloud Solutions, Priyanka Vergadia speaks with Amol Kher, VP of Engineering from Vida Health, about how they use AI and ML to manage and automate all of the tasks that aren’t member-facing, so providers can focus their time and energy on their patients. You will see them discuss the Data Analytics pipeline and their application architecture on Google Cloud. Chapters: 0:00 - Intro 1:00 - Business challenges that Vida Health set out to solve in the healthcare space. 1:39 - Why did Vida Health choose Google Cloud? 4:00 - Vida Health’s ML/AI solution built on Google Cloud 6:40 - Data Pipeline Architecture on Google Cloud 11:14 - Securing the data on Google Cloud 14:18 - Application Architecture 15:25 - How did Vida Health migrate their application to Google Cloud 17:13 - Partners & teams that helped bring this architecture to life 17:30 - New things Vida Health is exploring Healthcare API, FHIR capabilities on Google Cloud 19:35 - Summary Architecting Cloud Solutions playlist → https://goo.gle/3g7xAC9 Subscribe to Google Cloud Tech → http://goo.gle/GoogleCloudTech #ArchitectingCloudSolutions product: Cloud - Data Analytics - BigQuery; fullname: Priyanka Vergadia; re_ty: Publish;

Follow up

Sept. 10, 2021