Lydia Clougherty Jones is a VP Analyst in the Analytics and AI team within Data & Analytics ITRB Roles Based Products. Ms. Jones' research and coverage areas include D&A and AI strategy; AI use cases, value and risk assessment; geopolitical sovereign AI; global AI regulations and public policy; responsible AI; D&A and AI monetization; and data sharing. Ms. Jones regularly discusses emerging D&A and AI geopolitical, sovereign AI and legal trends with media outlets. She is also an Adjunct Professor of Law at Boston University and Vanderbilt University.
Prior to joining Gartner, Ms. Jones practiced law for over twenty years, in the litigation and corporate transactions groups. Helping private and public entities navigate data collection and data sharing initiatives while complying with privacy rules and industry best practices, she was a business and legal data monetization strategist. She also worked with businesses across multiple industries to expand business opportunities through data and analytics, data insights and data monetization. While in private law practice, Ms. Jones was one of the first lawyers in the U.S. to practice internet Law. Predating the start of the dot-com era, she launched an internet Law and online privacy practice group advising clients on data collection/sharing and privacy issues, and using digital business alliances to increase revenue and growth opportunities.
Private Consultancy, Data Monetization Strategist, 7 years
Jennings, Strouss & Salmon (large law firm), Partner, 9 years
Data and Analytics Leadership and Programs
LL.M., New York University School of Law (legal philosophy concentration)
J.D., Boston University School of Law (editor in chief of probate law journal)
B.A., Boston College (English major; Philosophy major) (with honors)
Data and Analytics Strategy, including data sharing for business value
Data Reuse and Resharing Ecosystems and partnerships
Chief Data & Analytics Officer role/responsibility, including relationships with the CEO and General Counsel
CDAO/D&A for Derisking Enterprise Value
Data Ethics; Data Monetiziation, especially personal data