HR-Tech Meetup: Voice Controlled Job Search

Transcript

1. February 2018 Voice Controlled Job Search HR-Tech Meetup

2. © Potentialpark 2018 Intro

3. © Potentialpark 2018 State of the art “Siri, find me

   jobs for full-stack developers in Stockholm”

4. © Potentialpark 2018 State of the art •  “Google voice

   search queries in 2016 are up 35x over 2008” - Google trends via Search Engine Watch •  “In May 2016, 1 in 5 searches on an Android app in the USA were through speech” - KPCB •  “56% of online grocery shoppers use or plan to use voice controlled smart assistant/speaker” - Global Web Index

5. © Potentialpark 2018 The candidates’ voice Do you use voice

   control in your daily life?

6. © Potentialpark 2018 The candidates’ voice How often do you

   use voice control?

7. © Potentialpark 2018 The candidates’ voice How often do you

   use voice control?

8. © Potentialpark 2018 The candidates’ voice For what purposes are

   you using voice control?

9. © Potentialpark 2018 The candidates’ voice Would you find it

   helpful to use voice control for career searching purposes?

10. © Potentialpark 2018 Intro Is it possible today to search

    for jobs by using our voice? How? Yes! AI can listen to us and get back with a list of matching jobs

11. © Potentialpark 2018 Intro What do we need? •  Speech

    Recognition API •  Artificial Intelligence and Machine Learning •  Job Search API

12. © Potentialpark 2018 Keywords •  API (open) –  App which

    allows developers to access backend data and use them for their own applications. •  Speech recognition –  Machines translate a spoken language (voice) into text –  Cloud Speech, Bing Speech, Watson Speech and others

13. © Potentialpark 2018 Keywords •  Artificial Intelligence –  Device that

    takes actions by maximising the chance of success –  More simply, a machine that solves problems in a ‘smart’ way •  Machine Learning –  Ability of a machine to learn without being programmed.

14. © Potentialpark 2018 Scenario Purpose: •  To find jobs in

    Stockholm for Developers via voice •  Get data from a known source of jobs

15. © Potentialpark 2018 Scenario Solution: •  Speech recognition service that

    translates voice into text •  Build an AI who can handle human to machine conversations (i.e. Dialogflow, owned by Google) •  Webhooks for the fulfillment

16. © Potentialpark 2018 Scenario

17. © Potentialpark 2018 How to talk to AI? •  Invocation

    •  Intent •  Fulfillment •  Response

18. © Potentialpark 2018 1. Invocation Invoke the App by a

    command predefined by the developer ‘Hello, Helena!’

19. © Potentialpark 2018 2. Intent 1/5 A set of permutations

    of the same question helps the AI to better understand the request of the user

20. © Potentialpark 2018 2. Intent 2/5 Role and location are

    mandatory entities for our specific case

21. © Potentialpark 2018 2. Intent 3/5 Synonyms help the agent

    to map more correctly the entities

22. © Potentialpark 2018 2. Intent 4/5 Let’s say to the

    agent the following sentence: “Please show me jobs as software engineer in Stockholm” What will it be the agent’s answer?

23. © Potentialpark 2018 2. Intent 5/5

24. © Potentialpark 2018 3. Response •  Use web hooks to

    send ‘role’ and ‘location’ to a Job Search API •  Provide the user with the list of jobs: –  Display a list and let the user read it or (probably) better.. –  Use a Text-to-Speech API and let the user listen!

25. © Potentialpark 2018 Conclusions Who are the biggest providers of

    a Job Search API? Will your candidates be able to see your job ads by using Helena?

26. © Potentialpark 2018 Thank you! Torgil Lenning Founder and chairman

    of Potentialpark #potentialparkpeople Stefano Chialà Software Engineer at Potentialpark