HR-Tech Meetup: Voice Controlled Job Search

A discussion topic for the HR-Tech Meetup in Stockholm, Feb 7 2018.

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