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Transforming AI Agents: From Coding to Conversational Experiences
The development of AI agents, particularly conversational AI, has shifted from pure research to practical engineering, especially with the rise of foundation models. Effective persona-based agents can be created for specific domains such as law and software engineering, leveraging both AI and domain expertise. Large consumer tech companies like Apple and Google are positioned to lead in this area. Additionally, there is a growing need for companies to develop branded AI agents that facilitate customer interactions, paralleling the earlier transition from websites to apps. This requires understanding defined customer processes and systems. Current technologies present shovel-ready opportunities for companies to establish their digital presence through conversational experiences, signifying a simpler challenge than creating artificial general intelligence. Investing in these areas involves assessing the gaps between research implementation and real-world application, defining desired conversational experiences, and understanding customer environments to tailor solutions effectively.