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



Areas of coverage

Analytics, BI and Data Science Solutions

Data and Analytics Programs and Practices

Artificial Intelligence


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

Read More Read Less

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