Gartner Expert

Chirag Dekate

VP Analyst

Chirag Dekate is a VP, Analyst at Gartner, where his research focus is on providing strategic advice to CIOs and IT leaders on AI Operationalization infrastructures, Scaling from AI Pilots into Production across a Hybrid and Multicloud Context, with an emphasis on AI (machine learning and deep learning) infrastructures, high-performance computing, and emerging compute architectures (quantum computing).

Dr. Dekate's coverage areas include MLOps, AI Orchestration and Automation Platforms, Emerging Compute Platforms, Design Patterns and Hybrid Multicloud Infrastructures to Productize Enterprise AI, Advanced Systems and Accelerator Architectures (GPUs, Neuromorphic, DNN ASIC and beyond). Dr. Dekate has in-depth expertise in Advanced Analytics and high-performance computing, technical computing simulations, extreme scale graph processing and future of compute infrastructures. He has rich experience in strategy development and execution from vendor ecosystems, having led multiple successful campaigns and product launches.

Previous experience

Before joining Gartner, Dr. Dekate led strategy development and execution for WW commercial HPC vertical markets including financial services, oil and gas, manufacturing, earth sciences and more. Prior to that, Dr. Dekate was a Research Manager at IDC, covering HPC, big data and cloud computing, where he managed HPC quarterly tracking and strategic consulting engagements with vendors, end users and governments.

Professional background

DDN Storage

Sr. Manager, WW Commercial HPC Verticals

IDC

Research Manager, HPC and Big Data

Center for Computation and Technology, LSU

HPC Researcher

Areas of coverage

Data and Analytics Leaders

Data Center Infrastructure

Analytics, BI and Data Science Solutions

Artificial Intelligence

Executive Leadership: Artificial Intelligence

Education

Doctor of Philosophy, Computer Science (HPC, Exascale Computing, Execution Models, Extreme Scale Graph Processing), Louisiana State University

Master of Science, System Science (Grid and Cloud Computing), Louisiana State University

Bachelor of Science, Computer Science, Louisiana State University

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Top Issues That I Help Clients Address

1MLOps, AI pilots to production, AI Orchestration Platforms, Hybrid Multicloud AI Operationalization, Infrastructures for Productionalizing AI

2Platform Ops for AI, Machine learning, deep learning, artificial intelligence infrastructures and best practices. Design Patterns to Productize AI

3High-performance computing applications, infrastructure and operations (HPC), supercomputing, HPC clouds

4Emerging Compute Architectures (processors, interconnects, machine learning technologies and memory technologies), GPU, Neuromorphic, DNN ASICs etc.

5Quantum Computing