Data Governance Meetups

Experiential discussions on engineering for security, compliance and privacy

Engineering for compliance and data governance is challenge for all industries and verticals. Whether it is data localization, compliance required to connect with public digital platforms, GDPR, CCPA or the impending Personal Data Protection (PDP) Bill in India, companies have to engineer solutions for:

  1. Data acquisition
  2. Data storage
  3. Re-engineering data infrastructure for privacy
  4. Data anonymisation
  5. Data security
  6. Privacy, data and security audits

Data governance meetups are peer-to-peer learning sessions where practitioners share implementation experiences and insights with participants. Participants are welcome to submit topics and presentation ideas here.

Sessions are held monthly. Thus far, we have held meetings in July, August and September, covering GDPR compliance, frameworks for automating data governance and building resources that can help us, as tech industry, to establish standards for upcoming data governance laws. Video recordings are published on https://hasgeek.com/fifthelephant/data-governance-meetups/videos

October meeting will be held on Saturday, 10 October. Atif Akhtar of ThoughtWorks will speak about Data Catalogs and how to do them right. Mayur Ralekar of Skizzle will talk about end-to-end encryption as applied to email attachments

Participation in the monthly meetings is via Zoom, for registered participants. Alternatively, you can watch the YouTube livestream on this page.

About curators: This meetup series is curated by The Fifth Elephant alumnus, Rajat Venkatesh, with active involvement of Devangana Khokhar and Shadab Siddiqui.

For queries, contact 7676332020 or email fifthelephant.editorial@hasgeek.com

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The Fifth Elephant - known as one of the best data science and Machine Learning conference in Asia - has transitioned into a year-round forum for conversations about data and ML engineering; data science in production; data security and privacy practices. more

Srinivasa Rao Aravilli

@aravilli

Engineering Approaches to Data Protection Regulations

Submitted Oct 3, 2020

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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Hosted by

The Fifth Elephant - known as one of the best data science and Machine Learning conference in Asia - has transitioned into a year-round forum for conversations about data and ML engineering; data science in production; data security and privacy practices. more