Submit a talk on data
Submit talks on data engineering, data science, machine learning, big data and analytics through the year – 2019
##This space is open for submitting proposals on data engineering, data science, machine learning, big data and analytics through the year in 2019.
We will host data events round the year, in 2019. Talks for these conferences will be selected from here. Submit a proposal any time.
##Should you have queries, write to us on fifthelephant.editorial@hasgeek.com or call us on 7676332020
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Vidyasagar Nallapati
A practical, architectural talk on a scalable, platform for machine learning as a service built on the principles of serverless architecture
Creating machine learning models, tuning, training, and scoring is a highly complex and long process. It requires a right combination of software, hardware, engineers, data scientists. The “As-a-Service”-based models and serverless architecture would fundamentally transform enterprise would solve business problems using machine learning and can change the cognitive application delivery space. This talk is about design patterns, architecture and implementation of a platform build on the principle of serverless architectures and scaling machine learning models as microservices. The core idea is to help developers and data scientists to focus on solving business problems using data using cutting-edge models, that spending time in operationalization. In this talk, I would be discussing overall platform, architecture and case studies on this
Outline:
Vidyasagar N is a senior architect at Dell Technologies as part of IOT, Big Data and Advanced Analytics team from Bangalore. He loves all the things mathematics, statistics, machine learning, developer tools, automation and anything that will make systems better and easier, so he has found that in architecting, building and running large scale distributed services. He has a good practical experience in building rock-solid data pipelines prior to EMC in several startups, he has done his B.Tech from IIT BHU and has studied analytics at IIM Bangalore.
When Vidyasagar is not writing code, he can be found traveling, playing music and indulging in coffee.
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