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Gartner Expert
Carlton E. Sapp
Managing Vice President
Carlton Sapp is the Managing Vice President for the Data Management Analytics and Artificial Intelligence team at Gartner, providing guidance to the CIO/Chief Data and Analytics Officer (CDAO) and their teams.
In addition to managing the data management analytics and artificial intelligence team, Dr. Sapp provides guidance to CDAOs and their teams on digital transformation, decision intelligence, generative artificial intelligence, modern data management strategies, and Internet of Things for machine intelligence.
Dr. Sapp provides data-driven insights and design strategies based on more than 25 years of executive and practitioner experience and research. He is known for using systems thinking approaches to solve complex technical and business challenges for global clients.
Previous experience
In previous practitioner roles, Dr. Sapp designed digital assets, agent-based systems, digital twins, data analytics architectures, advanced analytics architectures, data integration strategies, data mesh solutions, distributed compute systems, service-oriented architectures, event-based architectures and machine learning algorithms for machine intelligence.
Professional background
National Science Foundation
Information Systems
Department of Defense Contracts
Technology, Research
IBM
Consultant
Areas of coverage
Analytics, BI and Data Science Solutions
Artificial Intelligence
Chief Data and Analytics Officer Leadership
Build Trust and Mature D&A Culture
Adopt Modern Architectures and Technologies
Education
Ph.D., Systems Engineering, George Washington University
M.S., Information Systems Technology, George Washington University
B.S., Business Management, North Carolina State University
Naval Academy-NAPS, Naval War College, Newport, RI
Top Issues That I Help Clients Address
1How to architect and build machine learning, artificial intelligence and advanced analytic applications
2How to design and architect fast data architectures, event delivery architectures (event stream processing and complex-event processing)
3How to accelerate business intelligence and advanced analytic delivery pipelines
4How to improve data ingestion architectures on-premises and in the public cloud
5How to build IoT analytic solutions on edge computing environments