

Swami Sivasubramanian
Technology leader and VP of agentic AI at AWS, discussing the future and mechanics of AI agents and their impact on work and creativity.
Top 3 podcasts with Swami Sivasubramanian
Ranked by the Snipd community

110 snips
Nov 4, 2025 • 20min
Everything you need to know about AI agents | Swami Sivasubramanian
Swami Sivasubramanian, VP of agentic AI at AWS, explores the revolutionary potential of AI agents in modern work. He distinguishes these autonomous systems from chatbots, explaining how they adapt and act on user goals. Swami highlights the importance of trust and developer experience for AI agents to thrive. With real-world examples, he showcases how agents can automate creative workflows and simplify software development. He envisions a future where AI agents become invisible assistants, unlocking productivity and creativity across various fields.

Jan 10, 2024 • 32min
This simple question helped Amazon teams get future ready: AWS AI and data chief
Swami Sivasubramanian, VP of Data and AI at Amazon Web Services, discusses the importance of democratizing access to AI training, the skills gap in finding AI talent, and the transformative impact of AI on businesses. He also shares various initiatives and resources offered by AWS for developing AI skills, as well as the potential applications of generative AI. The chapter also emphasizes the importance of leadership buy-in and managers' involvement in upskilling efforts for AI, and the challenges and hard work involved in the innovation process.

Dec 14, 2020 • 49min
re:Invent Roundup 2020 with Swami Sivasubramanian - #437
Swami Sivasubramanian, VP of Artificial Intelligence at AWS, shares insights from the recent re:Invent conference. He highlights the introduction of groundbreaking tools like Tranium for efficient machine learning training and SageMaker enhancements for better workflow management. The conversation dives into the significance of integrating DevOps with machine learning processes and showcases tailored AI solutions for industrial applications. With anecdotes reflecting the field's evolution, it underscores the push towards making machine learning accessible to all.


