Christine Livingston Managing Director Christine is a managing director and global leader of our Artificial Intelligence practice, responsible for all AI-ML initiatives. She focuses on identifying opportunities for Artificial Intelligence, developing AI integration and adoption strategies, and incorporating AI-ML capabilities into enterprise solutions across several industries.She has spent over 15 years in technology consulting and applies her engineering background with advances in technology to unlock enterprise innovation. With over a decade of experience in AI-ML deployment, she has delivered hundreds of successful AI solutions, including many first-in-class AI-enabled applications. She has helped several Fortune 500 clients develop practical strategies for enterprise adoption of AI, including the creation of capability-driven AI-enabled technology roadmaps. She is also an experienced public speaker, presenting several times a year in large forums such as technology and industry conferences.Major ProjectsDefined the vision and program direction for Artificial Intelligence programs, establishing consensus and aligning objectives across various stakeholders and multiple lines of business.Established a framework and methodology for evaluating and prioritizing AI use case opportunities, including business case development and ROI calculations.Developed and delivered strategic roadmaps for adopting AI at scale for several Fortune 500 companies, incorporating perspectives from IT analysts to C-suite executives.Led ideation, “Art of the Possible”, and whiteboarding sessions to both establish the big vision as well as uncovering practical and tactical use cases for Artificial Intelligence.Directed large-scale artificial intelligence deployments with early adopters, encompassing envisioning, strategy, deployment approach and solution implementation, resulting in millions of dollars of savings, revenue generation opportunities and thousands of hours saved.Solutioning of complex technology components to address customer challenges across multiple disciplines (process automation, data and analytics, AI, customer engagement, etc.).Areas of Expertise Artificial Intelligence and Machine Learning Generative AI and Large Language Models Emerging Technology and InnovationAI Strategy and Adoption Roadmaps Emerging Technology Business Case and ROI Development Industry Expertise Health Care (Provider and Payer) Automotive Insurance Finance Retail Education MS, Mechanical Engineering, Columbia University BS, Engineering Physics, Taylor University Languages English (Native)
