Swami Sivasubramanian (@swamisivasubram) 's Twitter Profile
Swami Sivasubramanian

@swamisivasubram

Father, husband, and 🐶 dad to my Golden. Head of AI Services and Data at #AWS. 17 years at @Amazon. Skiing ⛷️ with my family when I’m not at the office :)

ID: 430205963

linkhttps://www.linkedin.com/in/swaminathansivasubramanian calendar_today06-12-2011 21:59:43

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From Atlanta to Seattle to Las Vegas, entrepreneurs are building AI solutions without writing a single line of code. My colleague Dr. Nashlie Sephus has been showing small businesses across the U.S. how to tackle real, day-to-day challenges using PartyRock—Amazon Web Services's free,

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Really proud of the team for the power they put into today’s launch of AWS Transform ➡️ aws.amazon.com/blogs/migratio… This is the industry’s first agentic AI experience for large-scale migration and modernization of .NET, mainframe, and VMware workloads. We’re excited to make this

Really proud of the team for the power they put into today’s launch of AWS Transform ➡️ aws.amazon.com/blogs/migratio…

This is the industry’s first agentic AI experience for large-scale migration and modernization of .NET, mainframe, and VMware workloads. We’re excited to make this
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Thrilled to see Amazon Web Services making a major contribution to the open source AI community with the launch of the Strands Agents, an open source AI agents SDK! aws.amazon.com/blogs/opensour… The core of Strands is the simple agentic loop that connects the model and tools together, like the

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Open source protocols enable innovation—these standards run deep in our DNA at Amazon Web Services. That’s why we built our Elastic Cloud Compute (EC2) back in 2006 as protocol-agnostic cloud computing service and launched Amazon SageMaker as a framework-agnostic deep learning service. In

Open source protocols  enable innovation—these standards run deep in our DNA at <a href="/awscloud/">Amazon Web Services</a>. That’s why we built our Elastic Cloud Compute (EC2) back in 2006 as protocol-agnostic cloud computing service and launched Amazon SageMaker as a framework-agnostic deep learning service. In
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Power your agentic AI applications with Claude Opus 4 and Claude Sonnet 4, available today in Amazon Bedrock. These models excel at coding and enabling AI agents to analyze thousands of data sources. From small startups to large enterprise, see how customers are building with

Power your agentic AI applications with Claude Opus 4 and Claude Sonnet 4, available today in Amazon  Bedrock. These models excel at coding and enabling AI agents to analyze thousands of data sources. From small startups to large enterprise, see how customers are building with
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🚀 I’m really excited to see the launch of Aurora DSQL! It was just a few years ago when I was also leading Databases that we took up this hard engineering problem that teams have been trying to solve for years. To be able to address customers’ needs for multi-region high

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Sharing something that’s very close to my heart. This year’s graduation season has me thinking back on my journey to Amazon. The road here started with a strong foundation for learning. Growing up, my parents always prioritized education, and now, as a father myself, I’m sharing

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From small startups to big businesses, most teams are using multiple models on Amazon Bedrock. Rahul Pathak who leads Data and AI GTM for Amazon Web Services writes about the importance of a hybrid model approach and how global businesses are staying agile in today’s AI landscape ➡️

From small startups to big businesses, most teams are using multiple models on Amazon Bedrock. <a href="/rahulpathak/">Rahul Pathak</a> who leads Data and AI GTM for <a href="/awscloud/">Amazon Web Services</a> writes about the importance of a hybrid model approach and how global businesses are staying agile in today’s AI landscape ➡️
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Customers are integrating Amazon Q's CLI with OpenSearch’s Agentic AI tools via MCP. MCP server for OpenSearch unlocks new ways for Search to become more conversational than text-based and the Agentic AI evolution is bringing in a new way of interacting with systems and LLMs.

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🚀 Amazon Q Developer IDE plugins now support Model Context Protocol (MCP). This new experience allows developers to use external tools to support richer, contextual development workflows. You can connect and manage MCP tools directly within Q Developer's UI, no additional code

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Strands Agents, Amazon Web Services’s open source AI agents SDK, is simplifying the agentic application development experience. With Claude 4’s interleaved thinking feature, devs can enable Claude to reflect after a tool call and watch it adjust its plan dynamically without needing to

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At Amazon Web Services, we believe agentic AI will be critical to nearly any customer experience. We welcome A2A joining The Linux Foundation and envision it will create broader opportunities for anyone building AI-powered apps. We intend to support the community with project

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🚀 Introducing an easier way to troubleshoot your Amazon Web Services environment—check out Amazon CloudWatch investigations: aws.amazon.com/about-aws/what… My favorite standout features from this launch: 🟠 An AI agent that looks for anomalies in your environment and helps reduce mean time to

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The goal of MCP is to make AI-powered applications easier to use and integrate. In this second blog for our series on agent interoperability, we break down how OAuth’s architecture provides the foundation needed to achieve MCP’s plug-and-play vision. Initially, OAuth emerged

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We’re getting ready for AWS Summit New York, and I’m excited to be delivering the keynote on July 16th. Be a part of this day of learning and explore Amazon Web Services's latest innovations in compute, storage, and generative and agentic #AI. Join us next week by tuning into the