The document introduces api.ai, a platform for creating conversational interfaces for bots and applications, highlighting its tools for designing conversation scenarios and analyzing user interactions. It offers natural language understanding (NLU) capabilities and allows for easy integration with popular messaging platforms without coding. Since its acquisition by Google in 2016, api.ai has processed over 3 billion requests and supports multiple languages, making it a widely used tool for developers.

1. Hello!
Marco Nigro
Pervasive Systems Course a. y. 2016-2017
https://github.com/mniger
https://www.linkedin.com/in/marco-nigro
marco.nigro94@gmail.com
Master of Science in
Engineering in Computer Science

3. What is api.ai?
A platform for building conversational interfaces for bots, applications, and devices.
Provides tools to design conversation scenarios, define corresponding actions and
analyze interactions with users.
It receives a text, matches it to an intent based on the agent's machine learning model
and returns output data as a JSON response object.
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4. More in details
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5. Features
The process of transforming user’s text into actionable data is called Natural
Language Understanding (NLU).
Using API.AI is easy. You can get an account on the API.AI website and start using
the console to build and test your conversational agents.
You can integrate your Conversation Action into popular messaging platforms using
one-click integrations that allow you to create bots without any coding.
You can provide an optional webhook implementation to connect to your web service
which can then perform business logic, call external APIs, or access data stores.
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6. Some numbers
Adding NLU capabilities to products and services with API.AI is entirely free.
Acquired by Google on September 2016. API.AI had raised around $8.6
million to date according to Crunchbase.
API.AI currently plays friendly with 15 languages, including English, Chinese,
French, German, Spanish and Italian.
According to a running counter on its homepage, API.AI has processed a little
over 3 billion API requests to date.
Meanwhile, Google says over 60,000 developers have built stuff with API.AI’s
toolset.
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8.6M
15
3B
60K
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7. Get started in 5 steps

8. Step 1: create agent
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9. Step 1: create agent
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10. Step 2: create entities
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11. Step 2: create entities
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12. Step 3: create intents
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13. Step 4: test and train
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15. Step 5: integrate
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Useful tools to facilitate the process of integrating an agent into an app or device:
SDK's for the most popular languages and platforms
One-click integrations for the most popular messaging
platforms
Webhook integration with your web service

16. Demo time

17. My agent
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Diletta

18. Questions?

19. Useful links
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API.AI documentation
https://docs.api.ai/docs
API.AI YouTube channel
https://www.youtube.com/APIaichannel
Actions on Google: Building Assistant Actions using API.AI
https://www.youtube.com/googleTutorialForAPIai

20. Thanks