Gartner Expert

Arun Chandrasekaran

Distinguished VP Analyst

Arun Chandrasekaran is a Distinguished Vice President, Analyst at Gartner, where his research's focus is on providing strategic advice to CTOs and CIOs on how to spur technology innovation within enterprise IT. As a member of technology innovation research group, Mr. Chandrasekaran analyzes emerging and strategic technology trends and explores how these trends shape the way individuals and companies derive value from it.

His focus areas include emerging technologies such as micro-services infrastructure (containers, kubernetes, service mesh and serverless computing), public cloud IaaS, big data platforms (Hadoop, Kafka, Spark), artificial intelligence and machine learning infrastructure. He has a strong blend of technical and business skills and is a leading speaker on topics such as cloud computing, enterprise innovation and artificial intelligence.

Previous experience

Before joining Gartner, Mr. Chandrasekaran headed research on cloud computing, data center equipment and services for Frost & Sullivan, in a practice offering consulting and research services to the leading vendors, service providers and end users in the Asia/Pacific region.

Professional background

Frost & Sullivan

Research Director - Cloud Computing and Data Center Practice

Computer Sciences Corporation (CSC)

Senior Network Engineer

SSI Technologies

Member of Technical Staff

Areas of coverage

Technology Innovation

Infrastructure, Operations and Cloud Management

Artificial Intelligence

Cloud and Edge Infrastructure

CIO Leadership of Innovation, Disruptive Trends and Emerging Practices

Education

Certificate Program in Professional Communications, UC Berkeley

M.B.A., Strategic Management, Nanyang Technological University, Singapore

B.E., Electronics and Communication Engineering, University of Madras, India

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Top Issues That I Help Clients Address

1Architecting and implementing micro-services infrastructure (Containers, Serverless computing)

2Designing and implementing machine learning and AI infrastructure

3Implementing hybrid & multi-cloud strategies

4Igniting Infrastructure innovation

5Organizational and cultural transformation