Cloud platforms provide unique challenges and opportunities to design and architect an optimal Data and Analytics architecture resolving through complex data management and analytics use cases such as logical data warehouse, serverless and streaming technologies, analytics and data science tools. This session provides detailed insights into the various components of AWS, Azure and GCP to create reference architectures for deploying an integrated and cohesive data and analytics ecosystem that includes native, hybrid and multicloud use-case scenarios.
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.
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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.
Monday, 19 September, 2022 / 05:00 PM - 05:30 PM IST
Technical Insights: Deploying Data and Analytics Architecture in AWS, Azure and GCP Cloud Platforms
Tuesday, 20 September, 2022 / 10:30 AM - 12:00 PM IST
Using Cloud to Accelerate Operationalization of Enterprise AI
CIOs and Senior IT Leaders can strategically leverage cloud services to accelerate productizing Enterprise AI. Cloud providers have curated a broad portfolio of AI-specific capabilities including APIs, SaaS and IaaS. Gartner has devised a strategy framework to help navigate selection of the right mix of cloud strategies to accelerate your productization of Enterprise AI.