Operationalize Data Privacy

Last Published: Aug 05, 2021 |
Nathan Turajski
Nathan Turajski

Senior Director, Product Marketing, Data Governance & Privacy

Today’s organizations need to mobilize data governance programs and resources to tackle enterprise-wide data privacy initiatives. These ambitious initiatives—which can span thousands of data stores, people, and processes—cannot be achieved with traditional security and production models. Instead, enterprise-grade automation, powered with artificial intelligence (AI) and machine learning (ML), is required to provide the foundational infrastructure to access, protect, manage, and respond to privacy- and compliance-related requests.

Data Privacy

Delivering an effective data privacy program can be challenging, but it’s not insurmountable. A good place to start is to learn through discussions with privacy professionals who’ve already leveraged these technologies.

If you’d like to hear real-world stories about the challenges of scaling up an enterprise privacy initiative and learn best practices about how you can dramatically improve your enterprise privacy readiness, you’ll want to join us for this timely, educational web conference.

Operationalize Data Privacy: How to Leverage Automation, Artificial Intelligence and Machine Learning to Manage Privacy Across Thousands of Resources

Broadcast date: Thursday, June 13, 2019

Time: 8:00–9:00 a.m. PT, 11:00 a.m.–noon ET, 5:00–6:00 p.m. CET

This is your chance to hear directly from data privacy experts who will be discussing the challenges they see in 2019 and beyond, and even taking questions from the audience.

What you'll take away:

  • Personal data flows have evolved across typical organizations in recent times. Learn how you can tackle the need for continuous data governance requirements.
  • The role that AI and ML play in successful automation of privacy readiness.
  • Insight into the need to take a global view of personal data flows within the organization to support the myriad and growing data privacy regulations.
  • Specific identification of the key components of a successful data governance program, including continuous identification of risk, the automated execution of rights and consent, and awareness of ever-changing data protection laws.


Dave Cohen, CIPP/E, CIPP/US, Knowledge Manager, IAPP


Jitesh Ghai, General Manager and Senior Vice President, Data Governance and Privacy, Informatica
David Hale, CIPP/US, CIPM, CIPT, Chief Privacy Officer and Associate General Counsel, TD Ameritrade
Michael Mangold, Sr. Manager, Cyber Risk Services, Deloitte

First Published: Jun 06, 2019