Keystone.ai, a leader in enterprise AI, economics, and technology advisory, has announced the appointment of Brad Miller as President of CoreAI. Miller, who previously served as Chief Information Officer at Moderna, will lead Keystone's CoreAI business and its Deep EnterpriseAI platform from Seattle. This move underscores Keystone's commitment to enhancing AI-driven decision-making and operational efficiency for its clients.
Miller's tenure at Moderna was marked by pioneering work in enterprise AI, including the development of mChat, a secure GenAI platform that transformed the company's operations. His success in deploying AI at scale across Moderna's business units set a benchmark in the biopharma industry. At Keystone, Miller aims to embed AI as the scientific engine behind every critical decision, bringing clarity and precision to complex business challenges. This appointment is significant because it signals Keystone's intent to deepen its enterprise AI capabilities and expand its impact across industries.
Greg Richards, CEO and co-founder of Keystone, expressed enthusiasm about Miller's return to the company, highlighting his unique blend of experience in technology and transformation. Miller's background includes leadership roles at Capital One, Mastercard, and Citibank, where he modernized legacy systems into cloud- and AI-ready platforms. His early career at Amazon and Microsoft further solidifies his expertise in building scalable technology solutions. The appointment is particularly important as enterprises increasingly seek to leverage AI for competitive advantage, and Miller's track record indicates he can drive meaningful adoption.
Miller's vision for Keystone involves leveraging the company's advanced forecasting and supply chain AI systems to drive measurable impact across all business areas. By integrating AI into strategic consulting, Keystone aims to deliver innovative solutions that address complex business challenges. This focus on combining advanced technology with strategic advisory could reshape how enterprises approach AI implementation, moving from experimental projects to enterprise-wide deployment. For the New York City metro area, where many global corporations are headquartered, this development highlights the growing demand for AI expertise that can translate technological potential into tangible business outcomes.
