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Michal Pomykala VIRTUAL ASSISTANTS

Michal Pomykala VIRTUAL ASSISTANTS OUR JOURNEY FROM EXTENSIVE DOCUMENTATION AND VARIOUS TOOLS TO SMART CHATBOTS code::dive 2018 Lunch talks 13:35-13:50, stage 9. our journey. research. our journey. documentation. our journey. trainings. our journey. analytics. our journey.

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Michal Pomykala VIRTUAL ASSISTANTS

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  1. Michal Pomykala VIRTUAL ASSISTANTS OUR JOURNEY FROM EXTENSIVE DOCUMENTATION AND VARIOUS TOOLS TO SMART CHATBOTS code::dive 2018 Lunch talks 13:35-13:50, stage 9.

  2. our journey research

  3. our journey documentation

  4. our journey trainings

  5. our journey analytics

  6. our journey dedicated tools

  7. our journey but still.. is it enough? applications share point specification wiki teams trainings analysis …

  8. our journey so let’s try with chatbots and AI/ML

  9. design all in one… if possible … documentation trainings analytics tools research SMART CHATBOTS

  10. chatbot basic architecture services integration additional chatbot logic NLP/NLU - human understanding user platform databases analytics knowledge dedicated tool and API internal services

  11. what is the user intention? domain knowledge need support dialog I would like to know … repair a bike intents order a pizza recognize what your users want set up meeting fallback intents .csv follow-up intents output context Q & A

  12. what are your dialog components? system entities* @sys.any @sys.number developer entities** required? @sys.time user entities*** entities @sys.date conversation parameters @sys.currency @sys.places @custom.entity2 @custom.entity task=“deliver_pizza" pizza_name=“$custom.pizza_name“ pizza_size=“$custom.pizza_size" location=“$sys.address" *** login, session, orders ** custom, dedicated for service * available and define in platform

  13. Thank you!

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