- Gartner client? Log in for personalized search results.
Gartner Expert
Carlton E. Sapp
Managing Vice President
Carlton Sapp is the Managing Vice President for the Data Analytics for Technical Professionals team.
In addition to managing the data analytics team in Gartner for Technical Professionals, Dr. Sapp provides guidance on systems engineering, digital engineering, digital threads, digital twin, model-based systems engineering, edge intelligence, artificial intelligence, machine learning, modern data management strategies, data ingestion strategies, streaming analytics, data integration and IoT analytics.
Dr. Sapp provides data-driven insights and design strategies based on more than 25 years of practical project experience and research. He is known for using systems thinking approaches to solve complex technical and business challenges.
Previous experience
In previous roles, Dr. Sapp designed digital assets, agent-based systems, digital twins, data analytics architectures, advanced analytics architectures, data integration strategies, distributed compute systems, service-oriented architectures, event-based architectures and machine learning algorithms.
Professional background
National Science Foundation
Information Systems
Department of Defense Contracts
Technology, Research
IBM
Consultant
Areas of coverage
Analytics, BI and Data Science Solutions
Data and Analytics Strategies
Artificial Intelligence
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