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Part II: AI Readiness - Are you building agentic models? Build trust with your solution. Understand the Data Privacy and Legal Implications. This is Part II of our AI Readiness Series. Part I, spearheaded by Amir Feizpour, covered the introduction to LLMs and Agentic AI, their evolution, and how they have streamlined operations, improved workflows, and provided stronger real-time insights into a company's operations. This session focuses on data privacy and regulatory considerations as startups begin developing more applications with agentic systems. Abigail Dubiniecki, Privacy Lawyer and Data Strategist, will address the issues and unintended consequences from the technology and what startup founders need to be aware of from a legal and compliance perspective. Patricia Thaine, Cofounder and Chair of Private AI, and whose company, Private AI, detects PII in datasets (in multiple languages), can remediate PII before they get into models, so it reduces the chances of reidentification. She will provide best practices for data handling and explain how her company implements compliance in its solution. GET SOCIAL! Connect with RIC Centre on LinkedIn: http://ow.ly/gOepA Follow @RICCentre on Twitter: / riccentre Like RIC Centre on Facebook: / riccentre