Designing for Data Privacy: How to Continue Innovating in Data Science

In this panel, experts will discuss the considerations and challenges that data privacy poses across industries. Learn how top organizations are innovating in data science despite rapidly evolving privacy and security issues.

We’re collecting and leveraging more data than ever before—and privacy and security are racing to keep up. Governments are rolling out consumer data privacy regulations including CCPA, GDPR to protect the sensitive customer data including personally identifiable information (PII) such as name and date of birth and personal health information (PHI). Data platform and engineering teams are tasked with providing access to data to data science, BI and analytics team while regulatory compliance and security teams are concerned about exposure of the sensitive customer data due to ad-hoc processes and tools.

SPEAKERS ANNOUNCED SOON

PANEL TAKEAWAYS:

• How top organizations are innovating in data science despite rapidly evolving privacy and security issues

• What considerations to account for to ensure you’re building an infrastructure that supports existing and future data privacy and security concerns

• Recommended strategies for finding/documenting sensitive data

• Considerations and challenges that data privacy poses across industries

Agenda:
Wednesday, Dec 15, 2021
2:00 - 2:05 p - Introduction & Welcome Remarks
2:05 - 3:00 p - Expert Panel
3:00 - 3:30 p - Presentation