In this podcast, Mark Geene of robotic process automation (RPA) vendor UiPath discusses the evolution of RPA and the emergence of agentic AI. He explains how these technologies are transforming business processes, the importance of governance and compliance, and the future of work with digital workers. Geene also highlights the role of data in enabling effective AI agents and shares insights on the competitive landscape of RPA vendors. The discussion concludes with predictions about the future of AI in business.
In the episode, we cover how:
- RPA automates repetitive tasks and is limited to deterministic workflows
- Agentic AI combines deterministic and ad hoc processes for greater flexibility
- Governance and compliance are critical for successful automation
- Orchestration allows for effective collaboration between agents, robots, and humans
- Data is essential for providing context to AI agents
- Narrowly scoped agents can operate with more autonomy
- The future of work will see agents supervising business processes
Featuring: Mark Greene, senior vice president and general manager of AI products and platform at UiPath
To learn more about agentic AI, RPA and generative AI, check out AI Business from Informa TechTarget.
To watch video clips from our podcast, subscribe to our YouTube channel, @EyeonTech.
References:
- UiPath AI agents blend with RPA amid industry hype, doubts
- Governance Is Top Priority for Companies Using Agentic AI: Survey
- Startup aims to upend old-school RPA with large action model | TechTarget
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