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Applying Conversational AI
in the Enterprise
Rasa Summit 2021
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
Natural language interfaces allow customers to get things done on their terms
A seamless customer experience
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
AI assistants need to meet security standards in an enterprise setting
ENTERPRISE CHALLENGES
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
As they scale, they’ll need to be integrated with third-party services
ENTERPRISE CHALLENGES
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
Good DevOps practices are critical
ENTERPRISE CHALLENGES
Conversations will need to scale too
ENTERPRISE CHALLENGES
But a great customer experience should be a governing factor
ENTERPRISE CHALLENGES
Mady Mantha
Senior Technical Evangelist
m.mantha@rasa.com
@madymantha
Get in touch
… and so many other dimensions of enterprise scale
Quality
Assurance More
natural
languages
Larger
teams
Approval
processes Increased
traffic
Deployments
...
DRAFT SLIDES
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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Applying Conversational AI in the Enterprise

  • 1. Applying Conversational AI in the Enterprise Rasa Summit 2021
  • 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. Natural language interfaces allow customers to get things done on their terms A seamless customer experience
  • 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. AI assistants need to meet security standards in an enterprise setting ENTERPRISE CHALLENGES
  • 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. As they scale, they’ll need to be integrated with third-party services ENTERPRISE CHALLENGES
  • 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. Good DevOps practices are critical ENTERPRISE CHALLENGES
  • 10. Conversations will need to scale too ENTERPRISE CHALLENGES
  • 11. But a great customer experience should be a governing factor ENTERPRISE CHALLENGES
  • 12. Mady Mantha Senior Technical Evangelist m.mantha@rasa.com @madymantha Get in touch
  • 13. … and so many other dimensions of enterprise scale Quality Assurance More natural languages Larger teams Approval processes Increased traffic Deployments ...
  • 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