Companies that collect personal data from Californians are subject to stringent regulations and reprimand – and the rest of North America is watching. The new California Consumer Privacy Act (CCPA) is now law and imposes stiff penalties on those that misuse or resell consumers’ private information. Even victims of data leaks face a reputational and financial risk.
Join Yasir Ali, CEO and Founder of Predict Data and Nav Mathur, Senior Director of Global Solutions at Neo4j, for this webinar that addresses:
- Highlights of the CCPA Regulation and what it means for organizations
- Regulatory-overlap between CCPA, GDPR and other regulations
- Personal Identifiable Information (PII)
- Data Management in the new regulatory landscape
- How can you find and track personal data within your organization
- What is graph technology and why is it superior for compliance solutions
- Key features of a robust privacy compliance solution
Yasir Ali is currently the founder of Predict Data whose product Polymer captures and sanitizes Personal Identifiable Information from documents and datasets with a focus on CCPA.
For the past 10 years, Yasir’s focus has been as a technology and data architect consulting at many Fortune 100 Financial Services companies (Deutsche Bank, CIBC, Standard & Poor’s, Morningstar, Voya Financial etc.) to modernize legacy enterprise systems. A recurrent theme that he encountered in his consulting was handling of private data within and across enterprises.
Yasir graduated from Denison University with a degree in Computer Science and started his career at Bear Stearns, initially as a developer and then a structured products trader. He has been a portfolio manager at various hedge funds.
Product, developer, systems architect interested at the intersection of finance, technology and privacy.
Benoît est un développeur en informatique passionné par les nouvelles technologies et la philosophie du libre.
Kelsey Bieri is a Data Governance Analyst at ICC in the Master Data Management and Data Governance Practice. She has contributed to numerous data governance and data lineage projects in the Banking industry, helping organizations build a better understanding of their data universe. Kelsey holds a degree in Management Information Systems from the College of Business at Ohio University.
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