Capturing and utilizing comprehensive customer context is paramount to delivering optimal AI-powered SaaS applications. Salesforce's suite of tools, including Industry Cloud, Data Cloud, Prompt Builder, and Agent Builder, facilitates the creation of rich customer profiles and abstracted rules. However, constructing a complete customer journey often necessitates integrating data from multiple sources and systems.
Model agnosticism is essential for flexibility and adaptability, which is made possible with open-source models.
Prompt engineering requires a systematic approach akin to software development. Prompt libraries should be managed and updated as models evolve. Salesforce's Prompt Builder offers a promising foundation by integrating metadata and external data sources.
The intersection of AI and energy consumption is a critical consideration. As AI demands increase, so does energy consumption. To address this, AI models should incorporate metrics for energy usage and cost, promoting sustainable AI practices.
Organizations can build more effective and responsible AI-powered applications by focusing on these areas.
