What’s next for RPA? RPA 2.0 and Agentic AI w/Antti Karjalainen
Update: 2024-08-15
Description
Summary
In this conversation, Antti Karjalainen discusses the evolution of RoboCorp to Semaphore AI and the shift towards agentic automation. He highlights the early adoption of generative AI and the development of AI agents. Antti explains that the direct personas for purchasing AI agents are often line of business champions, while AI innovation and governance are typically centralized within organizations. He also shares his personal evolution as an entrepreneur and the challenges and opportunities of working with AI. The conversation explores the potential of AI agents to automate complex processes, the importance of quantifying ROI, and the future of user experience paradigms in AI applications.
Takeaways
RoboCorp evolved into Semaphore AI, focusing on agentic automation and AI agents.
AI agents are being adopted by line of business champions and centralized AI governance bodies.
AI agents have the potential to automate complex processes and provide significant efficiency gains.
Quantifying the ROI of AI agents can be challenging but is crucial for adoption.
The future of AI applications lies in innovative user experience paradigms.
In this conversation, Antti Karjalainen discusses the evolution of RoboCorp to Semaphore AI and the shift towards agentic automation. He highlights the early adoption of generative AI and the development of AI agents. Antti explains that the direct personas for purchasing AI agents are often line of business champions, while AI innovation and governance are typically centralized within organizations. He also shares his personal evolution as an entrepreneur and the challenges and opportunities of working with AI. The conversation explores the potential of AI agents to automate complex processes, the importance of quantifying ROI, and the future of user experience paradigms in AI applications.
Takeaways
RoboCorp evolved into Semaphore AI, focusing on agentic automation and AI agents.
AI agents are being adopted by line of business champions and centralized AI governance bodies.
AI agents have the potential to automate complex processes and provide significant efficiency gains.
Quantifying the ROI of AI agents can be challenging but is crucial for adoption.
The future of AI applications lies in innovative user experience paradigms.
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