Data Privacy Conference

We are accepting case study talks on the following topics:

1. Architecture:

• REST API design for Personally Identifiable Information (PII).
• Libraries used. For e.g., how Twilio does PII compliance where fields are marked as privacy sensitive or not.
• Data collection patterns.
• Data science aspects of data management including anonymization, masking, etc.
• Development practices and precautions that are privacy-centric.

2. Engineering and operations processes, including DevOps, and hand-off points from check-in to release; multiple processes that every functional team has to follow for compliance.

3. Design and UX - if you are doing privacy-first development, how are you doing design, in terms of:

• What is the data that is collected?
• How is the data collected?
• Design and UX of consent management practices.
• What is the design language and templates you have evolved that will help other practitioners to learn from? For e.g., use of dark patterns.
• Reusable libraries, design language, design templates.

4. Process case studies:

• How compliance is done, with emphasis on organization structure, how teams communicate, cost (budget), and why this approach is justified.
• Cross-functional and cross-geography compliance done by SaaS companies. For example, data privacy in Distributed Cloud environments i.e., data moving between data centres for multi region setups; what laws apply?
• Incident reporting processes and practices; dealing with data vulnerabilities and security-related threats.

Apart from large-scale internet organizations, we encourage fintech and next generation startups to submit case studies.

Content can be submitted in the form of:

• 15 minute talks
• 30 minute talks
• 1,000 word written articles

All content will be peer-reviewed by practitioners from industry.