Soyeb Barot is a Technology Leader with over 20+ years of experience in the field of AI, ML, Business Analytics, and Data Management domains. As a CoR (Chief of Research) for GTP, he is responsible for steering the research portfolio assisting Technical Domain Architects part of the Chief Data and Analytics Officers (CDAOs), Chief Information Security Officers (CISOs), Software Engineering Leaders (SWELs), Heads of Infrastructure and Operations (I&O) and Enterprise Application Leaders, teams. He is responsible for building a portfolio of research that support the design, implementation, and operationalization of Enterprise Technical Architectures on topics - GenAI, MLOps, Data Fabric, Cyber Security and IT/OT.
Before joining Gartner, Soyeb has led data enterprise Data Analytics and ML teams for Fortune 100 companies and played a pivotal role in architecting, designing, and implementing future-state architectures. He specializes in building self-serviced, governed enterprise data management and AI platforms with support for advanced analytics, ML & AI initiatives.
Soyeb, is known for his innovative data-driven, pragmatic approach towards solving complex business workflows with the right integration framework of proprietary tools and open-source technologies. He provides real-world use-case-driven insights for implementing AI-based solutions within the insurance, banking, retail, media, and information system industry verticals.
Consulting Roles Within Fintech and Shipping Orgs., Software Consultant - Apps & Data, 4 years
New York Life Insurance, Solutions Architect, Enterprise Data Management & Analytics, 3 years
RichRelevance, Technology Lead, Analytics and Big Data Solutions, 9 years
Analytics and Artificial Intelligence
Artificial Intelligence
Analytics and Artificial Intelligence for Technical Professionals
Data Management Solutions for Technical Professionals
M.S., Computer Science, New York Institute of Technology
B.E., Electronics Engineering, Mumbai University, India
Leadership Certification, Cornell
Artificial Intelligence
Machine Learning and Data Science
Enterprise Technical Reference Architectures
Emerging Tech - Future of Computing & AGI (Artificial General Intelligence)
Cloud and Hybrid Cloud - D&A Implementations