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Making AI Work: How to Build and Scale Long-Running Enterprise Agents
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Making AI Work: How to Build and Scale Long-Running Enterprise Agents

About the Tech Talk

Join Scale Enterprise Software engineers and Agentex founding team members, Jason Yang and Daniel Miller for a live technical deep dive into Agentex: Scale’s enterprise-grade framework for building, deploying, and scaling reliable AI agents. 

Jason and Daniel will discuss why the ability to create long-running agents with persistent state, asynchronous workflows, and human escalation is essential to realizing the true utility of GenAI in production. You’ll also see a demo of a real life L4 / L5 agent and learn what these new capabilities unlock across industries like finance, telecom, and manufacturing.

Agentex gives developers full flexibility to build agents their way, while ensuring every deployment meets enterprise standards for security, compliance, and reliability.

Takeaways:

  1. How to design autonomous agents that maintain context and state over time
  2. Why persistence and async orchestration unlock new enterprise use cases
  3. How Agentex ensures every deployment meets security, compliance, and reliability standards

Agentex is open source. Explore it now at github.com/scaleapi/scale-agentex.

Speakers

Jason Yang
Staff Software Engineer @ Scale AI
Daniel Miller
Senior Software Engineer @ Scale AI
Monica Mishra
Product Marketing @ Scale AI

Agenda

From6:00 PM
To6:45 PM
GMT
Tags:
Presentation
Demo + Discussion
From6:45 PM
To7:00 PM
GMT
Tags:
Opening / Closing
Live Q&A
Event has finished
November 20, 6:00 PM GMT
Online
Event has finished
November 20, 6:00 PM GMT
Online
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