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Speaker "Pradeep Jadhav" Details Back

 

Topic

Making IoT smarter with Machine Learning and Deep Learning

Abstract

Making IoT smarter with Machine learning and Deep learning. Enhancing the connected devices with the capability of AI on Cloud. This session will focus on use cases this technology can be used. Be it predicitive analysis for cars to be better decision on maintenance or a home washing machine to alert the user and producer about potential upcoming issues. The proactive solution using AI as backbone can help lot of companies make their customer happier and reduce costs. This will also cover a sample application using IoT and AWS Machine learning and Deep learning.
Who is this presentation for?
Architects, Product Managers, Developers
Prerequisite knowledge:
Basic of IoT,Cloud and Machine Learning
 

Profile

Director & Digital Architect, Digital Engineering Cognizant. Lead the solution and delivery of First of a Kind cognitive solutions that satisfy and delight our end users and clients. This role is composed of leadership, solution development, technical acumen, hands-on software architect/development/configuration and client delivery. Expert in Architecting, Developing and Designing solutions for Enterprises on Cloud. Products include IBM Watson & Cloud Platform, Amazon Web Services , MicroServices, SpringBoot, Cloud Foundry, Docker Containers, Kubernetes, Helm, Istio and APIConnect. Expert in Implementing solutions using Machine Learning, Deep Learning and Data Science. IoT expertise using Intel Edison and Intel IoT Platform using Node.js and Node-Red. Mobile App development using Android and iOS.