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Conversational Teams: Moving Fast at Scale | Rasa Summit 2021

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Conversational Teams: Moving Fast at Scale | Rasa Summit 2021

  1. 1. Welcome!
  2. 2. Come chat with us at the Rasa booth - it’s open all day!
  3. 3. Schedule rasa.com/summit
  4. 4. #RasaSummit
  5. 5. shop.rasa.com Summit Merch Limited Edition Claim your $25 discount code at + A free Summit sticker with your order!
  6. 6. Code of Conduct rasa.com/community/code-of-conduct
  7. 7. Confidential and proprietary. Any use of this material without specific permission of Rasa is strictly prohibited. Conversational Teams: Moving Fast at Scale February 2021
  8. 8. 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
  9. 9. AI Assistants involve machine learning That doesn’t mean we should throw out everything we know about shipping good software.
  10. 10. The many faces of scale
  11. 11. Successful assistants will scale to a larger user base
  12. 12. And will expand to help users in new ways Check balance Money transfer
  13. 13. They get deployed on different channels and in multiple languages
  14. 14. The teams supporting them grow and divide, and include many different roles
  15. 15. And teams will share functionality across assistants * greet - Hi - Hello * goodbye - Bye - See ya Financial bot Sales bot
  16. 16. Move fast and scale things
  17. 17. Good news: a lot of this has already been figured out, and you’re (hopefully) already doing much of it. Most best practices from shipping software products translate well to conversational AI
  18. 18. Feels like going faster Actually makes us faster Learning from real conversations Changes go live right away Building on customizable infrastructure Changes go live after review & automated tests Versioning both together for reproducibility Composing at build time Generating lots of synthetic training data Using a black box tool that hides the details Separating code & content Composing at run time
  19. 19. Accelerate RoI by learning from real users as early as possible. Putting CDD to the test (Rasa Blog) CDD Playbook (website) Generating lots of synthetic training data Learning from real conversations
  20. 20. Use the latest research and choose the model that works best for you. ≈≈ Plug and play language models like BERT and GPT-2 into DIET, or bring your own embeddings. DIET has been used to train NLU models in 60+ languages! Using a black box tool that hides the details Building on customisable infrastructure
  21. 21. #232a2e Spend time on enhancements instead of fixing bugs introduced last week. Changes go live right away Changes go live after review & automated tests Separating code & content Versioning both together for reproducibility
  22. 22. Reliably share the load across teams by sharing code and composing at build time. money_transfer: - I want to transfer money - I want to make a transfer Financial bot loan_queries: - I need a loan - I want to take out a loan Composing at run time Composing at build time Insurance bot Main bot Financial bot Microservices only work if you can enforce a strict API between components. That’s not how people talk.
  23. 23. Scaling your Ambition
  24. 24. A scalable foundation for grand designs. PRODUCT Consistent across every touchpoint, easily evolved with new and better skills and actionable insights A brand conversation and customer experience Company Customer
  25. 25. Alan Nichol Co-founder & CTO alan@rasa.com @alanmnichol Email me! → alan@rasa.com

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