Role of Data-Intensive Distributed Computing Systems in Designing Data Solutions
4 contributors - Hardback
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Navin Sabharwal is an innovator, thought leader, author, and consultant in the areas of AI, machine learning, cloud computing, big data analytics, and software product development. He is responsible for IP development and service delivery in the areas of AI and machine learning, automation products, GCP, cloud computing, public cloud AWS, and Microsoft Azure. Navin has created niche award-winning products and solutions and has filed numerous patents in diverse fields such as IT services, assessment engines, ranking algorithms, capacity planning engines, and knowledge management.
Sarvesh Pandey is an innovator and thought leader in the area of hybrid cloud lifecycle automation covering technologies such as cloud management automation, and infrastructure-as-code and runbook automation with overall 15 years of IT experience. He currently works as associate director and practice head for cloud management automation in the HCL DRYiCE practice focusing on planning, designing, and managing multiple infrastructure automation projects of strategic importance to the cloud journey and the IAC framework. He possesses excellent experience of working with highly engineered systems which require deep understanding of cutting-edge technology and their key drivers in multiple markets.Piyush is a solution architect for automation, DevOps, and cloud services with overall ten years of IT experience. Piyush is currently working as a deputy general manager at HCL DRYiCE practice focusing on creating solutions catering to cloud adoption (including cloud landing zone, migration, and operations), automation, orchestration, and cloud lifecycle management.