Agentic SaaS Talks
Exploring the future of AI applications, agentic architectures, and the evolution of SaaS platforms
Latest Episode
Our newest discussion on agentic architectures and AI applications
What We Discuss
Topics we explore in our webcast series
About the Series
Agentic SaaS Talks is a webcast series exploring the intersection of AI, SaaS, and agentic systems. We dive deep into architectural patterns, design choices, and deployment models that are shaping the next generation of intelligent applications.
Join us as we discuss topics ranging from Model Context Protocol (MCP) to data sovereignty, from frontend frameworks to backend orchestration, and from prototype to production at scale.
Subscribe on YouTubeFrequently Asked Questions
Common questions about Agentic SaaS Talks
What is Agentic SaaS Talks?
Agentic SaaS Talks is a technology webcast series exploring the future of AI applications, agentic architectures, and the evolution of SaaS platforms. The series features deep dives into topics like Model Context Protocol (MCP), data sovereignty, AI product development, and cloud-native design patterns.
Who hosts Agentic SaaS Talks?
The show is hosted by five technology leaders: Ermin Dzinic (Architect at AWS), Bill Tarr (Principal Partner Solutions Architect at AWS), Kamal Gupta (Founder and CEO of Omnistrate), Markus Kaiser (Amazon Web Services), and Michael Cooper (Founder of The Tributary AI).
What topics does Agentic SaaS Talks cover?
The series covers agentic architectures, Model Context Protocol (MCP), data privacy and security, SaaS evolution, AI product development, and the future of intelligent applications. Episodes feature discussions with industry experts, founders, and technologists.
Where can I watch Agentic SaaS Talks?
All episodes are available on YouTube via the Omnistrate channel and playlist. You can also browse episodes, read show notes, and access timestamps at agentic-saas-talks.com.
How often are new episodes released?
New episodes are released regularly, typically every one to two weeks. The series has published 24 episodes since its launch. Subscribe on YouTube or follow the RSS feed to get notified of new episodes.
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