Data Governance Meetups

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Engineering Approaches to Data Protection Regulations

Submitted by Srinivasa Rao Aravilli (@aravilli) on Oct 3, 2020

Session type:: Full talk - 40 mins Status: Confirmed

Abstract

High level overview of India’s “The Perosnal Data Protection Bill” and Enineering approaches to complain with India’s PDPB or any such regulations.

Outline

High Level overview of India’s Personal Data Protection Bill (PDPB) and Key chapters
Role of Regulation Sandbox ( RBI use case)
Privacy Engineering Role & Standards
Technical Approaches to Detection PI in large volumes of data ( TB or PB) , Protection of Sensitive Data , Data Retention, Data Rights , Records Management
Differential Privacy Techniques and Tools

Speaker bio

Technology and People Leader with 24 years of experience in leading teams in building highly scalable, high-performance , secure software products/solutions across middleware (JEE Application Servers), content management, search, machine learning, cloud , networking , IoT and Privacy.

Published research papers in various journals related to Apache Spark, SGX Enclaves, SOA, ML/AI, Big Data and have patent in Reinforcement Learning.

As a speaker presented in various technical conferences/workshops related to Machine Learning, Deep Learning, Java Performance and distributed computing/processing.

Speaker and panelist in the interactive working session on “Accountable and Responsible AI ” organized by PDPC Singpore and CIPL. Participated in the workshop on “Regulatory Sandbox for Data” organized at Facebook, Singapore.

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