About speaker
Vinit is a seasoned software engineer with a demonstrated history of building on-premise and cloud-native distributed systems at scale.
Currently, Vinit serves as a Lead Software Engineer at DocuSign, contributing to the Docusign's Storage team.
About speakers company
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In an era driven by exponential data growth and the need for intelligent insights, cloud storage solutions must evolve to meet the dynamic demands of modern enterprises. This talk delves into the intricate process of migrating traditional on-premises blob storage systems to cutting-edge cloud platforms like Azure while integrating AI-powered insights to enhance cloud software offerings.
We will explore the architecture and implementation challenges faced while leading the Blob Storage team at DocuSign, focusing on how AI technologies were harnessed to transform data management within the Intelligent Agreement Management (IAM) platform. This initiative did not just facilitate a seamless transition but also pioneered a new category in cloud software, significantly bolstering market leadership.
Attendees will gain insights into optimizing resource utilization, achieving cost efficiency, and ensuring scalability in cloud migrations, drawing from a successful case implementing an intelligence-enabled cloud ecosystem. Furthermore, the talk will illuminate how AI and machine learning models were leveraged to provide actionable insights, assisting in strategic decision-making and enhancing user engagement.
The session will cover critical lessons learned, including identity and data security in cloud transformations, effective use of REST APIs for integration, and the deployment of microservices for agile and scalable services. Participants will leave equipped with advanced strategies to align their cloud migration efforts with organizational goals, optimize resources, and drive innovation through AI. Join us as we explore the convergence of cloud and artificial intelligence, unlocking new potentials in data storage solutions.
The Program Committee has not yet taken a decision on this talk
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