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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 Generative AI Systems, Engineering AI Pilots into Production across a Hybrid and Multicloud Context, with an emphasis on AI (Generative AI) infrastructures, quantum technologies (quantum computing, quantum sensing, quantum networking), high-performance computing, and advanced analytics infrastructures (quantum computing, neuromorphic, GPUs and beyond).
Dr. Dekate's coverage areas include MLOps, AI Engineering Systems, Quantum Technologies (Quantum Computing, Quantum Sensing, Quantum Networking), Productize Enterprise (Generative) 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, Supercomputing, quantum technologies, 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
Center for Computation and Technology, LSU, HPC Researcher, 4 years
DDN Storage, Sr. Manager, WW Commercial HPC Verticals, 2 years
IDC, Research Manager, HPC and Big Data, 3 years
Areas of coverage
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Analytics and Artificial Intelligence
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Artificial Intelligence
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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
Top Issues That I Help Clients Address
Quantum Technologies, Quantum Computing, Quantum Sensing, Quantum networking
MLOps, AI pilots to production, Generative AI, Cloud AI, Infrastructures for Operationalizing AI
High-performance computing applications, infrastructure and operations (HPC), supercomputing, HPC clouds
Emerging Compute Architectures (processors, interconnects, machine learning technologies and memory technologies), GPU, Neuromorphic, DNN ASICs etc.
Platform Ops for AI, Machine learning, deep learning, artificial intelligence infrastructures and best practices. Design Patterns to Productize AI