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Free Customer Loyalty: Capitalizing on habits and user investments
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Improve detection of online frauds using decentralized Identity Management
Password-less Authentication using Decentralized Identity Management
Distinguished Member of Technical Staff
5G and the future
Are you ready to re-imagine your industry applications with 5G?
The Internet of Experiences: Delivering super-strength customer engagement
How Co-Browsing Works to improve the Customer Experience
Announcing Wipro Ventures’ Fund II
Interactive Experience
Blockchain Trust Framework – Securing Blockchain Solutions
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Satyajit is Principal Consultant in the Cloud COE of Service Transformation at Wipro with sixteen years of experience. Satyajit has defined and applied Enterprise architecture framework to migrate applications to AWS cloud for high availability, scalability and fault tolerance of the system applying Micro-Architecture solution paradigm. He has also been involved with CoE and Governance setup, defining best practices, policies and guidelines for Service implementations and also have lead large teams for solution delivery and execution. He was instrumental in defining Solution Architecture, Design and delivery of critical applications with stringent NFR requirements. He has experience across industry domains like manufacturing, finance, consulting, and government.

Author's Posts

Organization Strategy

Enterprise Messaging System on AWS Cloud

Posted by: Satyajit Das | June 08, 2017

According to industry research findings, the premium Application-to-person (A2P) and Person-to-Application (P2A) messaging market size is expected to grow from ~US$56 billion in 2016 to ~US$72 billion by 2021, at a Compounded Annual Growth Rate (CAGR) of 5.23% from 2016 to 2021.

Organization Strategy

Building Data Warehouse in Cloud - Challenges and Solution

Posted by: Satyajit Das | November 23, 2016

Data Warehouse (DW) is a business intelligence system which analyzes historical data gathered from different sources and provides insightful information to organizations from those data quickly.

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