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.
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:
Host:
Dave Cohen, CIPP/E, CIPP/US, Knowledge Manager, IAPP
Panelists:
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
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