))
Building Agents for Innovation with Andrew Conrad
Manage episode 442979331 series 3549649
Contenido proporcionado por Vurvey. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Vurvey o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
summary
In this episode, Sarah Nagle and Chad Reynolds are joined by Andrew Conrad from Vurvey to discuss the evolution and functionality of AI agents, particularly in the context of innovation and product development. They explore how agents can be built to solve specific business problems, the importance of continuous learning and adaptation in agent functionality, and the potential for agents to enhance creativity and efficiency in teams. The conversation also touches on the practical steps involved in creating agents and the future implications of AI in various industries.
takeaways
- Agents can solve multiple business problems beyond their initial purpose.
- Building agents requires a clear understanding of specific use cases.
- Continuous learning and adaptation are crucial for agent effectiveness.
- Agents can enhance creativity and innovation within teams.
- The process of building agents is akin to training an intern.
- AI agents can be customized to fit specific organizational needs.
- Collaboration with agents can lead to more efficient workflows.
- Agents can be designed to communicate in multiple languages.
- The ownership of data generated by agents remains with the brand.
- The future of AI agents holds significant potential for various industries.
Chapters
00:00
The Evolution of AI Agents
04:00
Building Agents for Innovation
17:12
Understanding Agent Functionality
30:04
Creating Agents for Specific Use Cases
53:54
Future of AI Agents and Their Impact
Vurvey.com
20 episodios
Compartir
