Gartner Expert

Jaishiv Prakash

Director Analyst

Jaishiv Prakash is a Director Analyst at Gartner for Technical Professionals. He specializes in AI Infrastructure, Generative AI, Agentic AI, and AI Platform Engineering. Jaishiv advises technology leaders on designing scalable architectures for AI workloads, orchestrating agent-based systems, integrating AI products into enterprise environments, and optimizing performance across cloud and hybrid deployments. His research delivers actionable, forward-looking insights that help organizations accelerate innovation, improve operational efficiency, and solve complex business challenges through next-generation AI and cloud technologies.

Previous experience

Before joining Gartner, Jaishiv served as a Solution Architect, leading digital transformation programs and cloud strategy engagements for Fortune 500 clients in financial services and healthcare. He also led engineering initiatives for an AI Platform and Product Engineering team for a leading biopharma client, focusing on site reliability and performance optimization. His experience spans application modernization, hybrid and multi-cloud infrastructure design, and implementing automation frameworks to enhance operational efficiency. These initiatives delivered tangible outcomes such as reduced deployment timelines, improved scalability, increased developer productivity, and enhanced resilience for mission-critical systems.

Professional background

Accenture, Cloud Engineering Specialist, 8 years

EY, Senior Consultant (Cloud & Digital), 2 years

PwC, Principal Consultant (Cloud & AI), 2 years

Areas of coverage

  • Infrastructure for Technical Professionals

Education

AWS Solutions Architect - Professional

AWS AI Practitioner

Azure Solutions Architect - Expert

GCP Professional Cloud Architect

ITIL Foundation v4

Bachelor's Of Engineering at CMRIT

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Top Issues That I Help Clients Address

01

Architect production-grade AI Infrastructure

02

Operationalize Generative AI Applications

03

Design Agentic AI Infrastructure Architecture

04

Observability for AI Platforms

05

Build AIOps and ModelOps Solutions

Latest research and insights

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