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Applying Conversational AI in the Enterprise

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Applying Conversational AI in the Enterprise

  1. 1. Applying Conversational AI in the Enterprise Rasa Summit 2021
  2. 2. Rasa has traction across industries with over 10 million downloads worldwide. *Cumulative Pypi and Github downloads of Rasa open source tools Healthcare Insurance Banking Telecommunications Manufacturing Retail & Technology *Cumulative Pypi and Github downloads of Rasa open source tools m m m m Downloads
  3. 3. Natural language interfaces allow customers to get things done on their terms A seamless customer experience
  4. 4. You might run into these challenges when applying conversational AI in the enterprise Meet security standards Integration with third-party services Varying DevOps expertise Scaling conversations while providing seamless user experience
  5. 5. AI assistants need to meet security standards in an enterprise setting ENTERPRISE CHALLENGES
  6. 6. AI assistants need to meet security standards in an enterprise setting ENTERPRISE CHALLENGES ● Secure storage for credentials, environment variables, and other details ● Data privacy - data in motion and data at rest ● Access controls
  7. 7. As they scale, they’ll need to be integrated with third-party services ENTERPRISE CHALLENGES
  8. 8. As they scale, they’ll need to be integrated with third-party services ENTERPRISE CHALLENGES ● Use a data-driven approach to come up with an integration plan ● Follow the Single Responsibility Principle when you create custom actions
  9. 9. Good DevOps practices are critical ENTERPRISE CHALLENGES
  10. 10. Conversations will need to scale too ENTERPRISE CHALLENGES
  11. 11. But a great customer experience should be a governing factor ENTERPRISE CHALLENGES
  12. 12. Mady Mantha Senior Technical Evangelist m.mantha@rasa.com @madymantha Get in touch
  13. 13. … and so many other dimensions of enterprise scale Quality Assurance More natural languages Larger teams Approval processes Increased traffic Deployments ...
  14. 14. DRAFT SLIDES
  15. 15. Applying conversational AI in the enterprise Who is the audience for this talk? ● Conversational teams in enterprises familiar with Rasa How should they feel after watching it? ● Excited to implement what we talked about in their own orgs ● Familiar with the challenges being discussed What should they do differently afterwards? ● Treat their assistants like a product, not a project

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