[lu.ma/_ai registration] AI Agent SF Meetup #6
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Talks & recordings
5 connected sessions
Build Computer-Use Agent: From Research to Enterprise Applications
Introducing two recent research works from Salesforce AI Research—GTA1 and CoAct-1—sharing learnings and experiences, and discussing on-going research on building enterprise-specific computer-use agent benchmarks.
Control Agent Behavior with Rules
How to control agent behavior using declarative rules with BeeAI by IBM.
Securing the AI Agent Workforce
As AI agents enter the workplace as autonomous virtual collaborators that make decisions, handle sensitive data, and require elevated permissions, Trusted Execution Environments provide a secure agent runtime with verifiable agent identity, data confidentiality, and runtime integrity.
Software-Defined AI Workforce: AI Workers vs. AI Agents
The rapid rise of autonomous AI agents is reshaping how work gets done—but not all AI is created equal. This session unpacks the critical distinction between AI agents and AI workers in the emerging software-defined AI workforce, covering the One Build - Many Hires architecture, governance, and integration patterns.
Uber's Multi-Agent Platform
An overview of Uber's Agent Platform and its in-house Agent SDK LangFx, covering how Uber thinks about agents and technologies built to enable agentic use cases at Uber.
Connections
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