Future Proofing Data & Tech Ecosystems: Preparing for Federal Action
Emerging technologies, big data, and algorithm-based business practices have created gray spaces within multiple regulatory frameworks – the spaces Congress and federal agencies are now navigating and seeking to clarify. Businesses can best protect their investments and better ensure future sustainability by proactively preparing for regulatory developments and engaging with the policymaking process. We’ll look at where legislative and regulatory attention is focused and where it might go. We’ll also talk about affirmative steps companies can take today to successfully meet future regulatory requirements.
Presenter
Stacey Rolland
Senior Vice President, Emerging Technologies and Data, Forbes Tate Partners
Stacey Rolland leads the emerging technology and data policy practice in advisory services and government affairs at Forbes Tate Partners. Stacey brings nearly two decades of experience in Congressional Leadership, the Treasury Department, and the private sector. She has a strong understanding of developing regulatory and legal landscapes and strategic partnerships across an array of policy issues, including emerging technologies and AI/ML, data governance, financial services, and tax. Prior to joining FTP, Stacey served in executive roles in governance, compliance, and risk at Capital One, overseeing the company’s regulatory exam strategy, risk assessment modernization, and partnership management across the U.S. and abroad. She previously served within the Treasury Department as Chief of Staff to the Office of Tax Policy and senior advisor to the Office of Legislative Affairs. She also served as senior policy advisor to Speaker of the House Nancy Pelosi and U.S. Congressman Xavier Becerra, helping to manage the development and passage of major tax, financial, and economic legislation. She holds a J.D. from UCLA School of Law, a B.A. from Smith College, and CIPP/US and CIPM certifications from the International Association of Privacy Professionals (IAPP).