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Web 3.5? How BMS Is Harnessing AI Agents to Deliver User Experience Innovation:
- The article discusses how BMS's innovation team incorporated AI models to enhance user experience by integrating agents into the workflow, resulting in positive outcomes.
- AI models are viewed as a technology that can usher in a new era in user experience, simplifying interactions and providing more intuitive experiences.
- The article highlights the importance of understanding how emerging technologies like AI can generate value for a company, especially in improving user interaction.
- The integration of an LLM (Large Language Model) helped simplify tasks like importing product catalogs and diagnosing errors on the platform, reducing the need for user technical knowledge.
- AI agents were explored as model wrappers specialized in specific subjects, offering real-time assistance to users and retaining context, enhancing user navigation and understanding of the platform.
- The article mentions using OpenAI's assistants to create an intelligent agent that simplifies accessing internal documentation and interpreting data in real-time for users.
- By leveraging RAG (Retrieval Augmented Generation) technology, the chatbot gained the ability to answer specific questions by referring to a vectorized database containing relevant information.
- The implementation of AI in projects at BMS aims to strategically enhance user experience and improve platform efficiency and usability, leading to lasting benefits for users.
- The company is focusing on further advancements, including enabling multiple agents to collaborate and automate tasks across different areas of the system.
- Overall, the article underscores the importance of judiciously applying AI technologies to enhance user experiences and offers insights into BMS's innovative approach towards integrating AI agents.
- Authors of the article are Roger Oliveira, Augusto Borelli, and Jefferson Ribeiro.
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