Tune in as our CEO, Omar Maher, discusses the four key approaches to adopting generative AI in the enterprise. Which pattern is most relevant to your work? Check out the post for links to use-cases for each approach!
When working with customers, we found that there are four major patterns for adopting generative AI in business: 1. 📚 Information Retrieval: Use Retrieval Augmented Generation (RAG) to fetch information via natural language. Example: The New York Stock Exchange trading rules copilot (https://bit.ly/4fnaBzX) and Morgan Stanley (https://bit.ly/3WGCbAX). 2. 🛍️ Conversational B2C: Transform consumer interactions in retail, travel, hospitality, and more through conversational AI. Examples: Walmart (https://bit.ly/3WH8YWx), Booking.com (https://bit.ly/3A0SoYF), and Expedia (https://bit.ly/3LNoo5a). 3. ⚖️ Domain Copilots: AI engines optimized for specific domains, like legal, with deep understanding of unique vocabulary and context. Examples: ContractMatrix (https://bit.ly/4fnPr4O), and DocuSign (https://bit.ly/3LIPGto). 4. 📝 Writing Assistants: AI tools focused on generating content in specific formats, like proposals. Example: KONE (https://bit.ly/4fnaBzX). Watch the full webinar for more use cases and check out our Use Case Gallery for a deeper dive. At Monta AI, we're ready to help you build custom generative AI solutions tailored to your needs. Get in touch today! (www.monta.ai) 📽️ Links to the full webinar and the Use Case Gallery are in the first comment.