Ankur Mehrotra, director and general manager of Amazon SageMaker at Amazon Web Services (AWS), joins industry leaders at the 2025 AWS Summit in New York City, held at the Javits Center. This annual gathering brings together AWS customers, partners and practitioners to explore the latest advancements in cloud technology, with a particular focus on AI developments.
In this insightful session hosted by John Furrier of SiliconANGLE Media Inc. on theCUBE, Mehrotra shares their extensive expertise and discusses fundamental trends shaping AI and cloud computing. The conversation highlights Amazon SageMaker’s pivotal role in advancing AI, emphasizing model customization, the democratization of generative AI access, and AWS's innovative approach to customer-centric development.
Key takeaways from the conversation include Mehrotra's discussion on upcoming model customization capabilities within Amazon SageMaker AI. Mehrotra explains how these enhancements empower organizations to efficiently tailor AI models for specific business needs. The dialogue also addresses the critical role of tools and infrastructure such as SageMaker and DeepSeek-R1 in enhancing the functionality and scalability of AI applications.
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Lisbeth Kaufman, AWS | AWS Summit NYC 2025
Ankur Mehrotra, director and general manager of Amazon SageMaker at Amazon Web Services (AWS), joins industry leaders at the 2025 AWS Summit in New York City, held at the Javits Center. This annual gathering brings together AWS customers, partners and practitioners to explore the latest advancements in cloud technology, with a particular focus on AI developments.
In this insightful session hosted by John Furrier of SiliconANGLE Media Inc. on theCUBE, Mehrotra shares their extensive expertise and discusses fundamental trends shaping AI and cloud computing. The conversation highlights Amazon SageMaker’s pivotal role in advancing AI, emphasizing model customization, the democratization of generative AI access, and AWS's innovative approach to customer-centric development.
Key takeaways from the conversation include Mehrotra's discussion on upcoming model customization capabilities within Amazon SageMaker AI. Mehrotra explains how these enhancements empower organizations to efficiently tailor AI models for specific business needs. The dialogue also addresses the critical role of tools and infrastructure such as SageMaker and DeepSeek-R1 in enhancing the functionality and scalability of AI applications.
In this exclusive conversation from AWS Summit NYC, Lisbeth Kaufman, Head of Climate Tech Startups and Ecosystem at AWS, joins theCUBE’s John Furrier to spotlight how AWS is accelerating climate innovation with cloud and AI. Kaufman discusses the AWS Compute for Climate Fellowship, a grant and technical support program helping mission-driven startups scale breakthroughs in energy, agriculture, transportation and beyond.
She shares inspiring examples from the 2024 cohort, including Realta Fusion’s use of cloud-based HPC to simulate plasma for fusion e...Read more
