Apurva Singh is a Director Analyst supporting Infrastructure & Operations leaders in the data lifecycle management domain. She covers structured and unstructured data archiving, data retention, data discovery, data deletion, data storage management services and digital communication governance topics.
Although Apurva dedicates most of her time to the specific needs of Infrastructure & Operations leaders, she also provides advice to technology executives concerning emerging and innovative technologies, disruptive business models and market strategies.
Apurva leads pivotal research on governing Agentic AI and building Enterprise AI Platforms. She guides leaders in establishing risk-tiered autonomy, deterministic guardrails, and execution controls for AI.
Apurva's expertise along with Gartner's research are available to assist Infrastructure & Operations leaders to solve the complex challenges of protecting and managing data whether on-premises, virtualized, hybrid and/or cloud.
Prior to joining Gartner, Apurva held a progressive series of IT consultation roles across fintech, e-commerce, and IT.
Ernst & Young, Senior Consultant, 2 years
Amazon, Manager, 1 years
Reliance Industries Limited, Manager, 4 years
AI, Cloud and Data Center Infrastructure
Certified Information Security Manager
B.Tech(Computer Science)
Use of Data Archiving solutions to address organization data retention requirements
Choosing technology to meet compliance and data discovery requirements
Quantifying & Managing Technical Debt: Utilizing the Technical Debt Interest Rate (TDIR) framework to measure legacy IT friction, transforming deferred maintenance into actionable investment
Helping clients choose data migration archiving strategy during application retirement
Governing Agentic AI for Safe Autonomy: Assisting I&O leaders in building deterministic guardrails, kill paths, and risk-tiered autonomy models.