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Engage, Attract, Retain:
Building Candidate Relationships in a Skills
Shortage
Colin Donnery
cdonnery@frsrecruitment.com
@cdonnery
That candidate - agency -
client relationship thing…..
• In-house Recruiters / Sourcers
• HR / TA Tech
• AI – Machine Learning HR Tech
• Employer Brand
• And what are agencies investing in? Not much . . .
Corporates Investing in Candidate Engagement and
Agency Reducing Resources
Lets double down on
candidates………
and move
From hunter……
to farmer……
Engagement
CoachingTraining
Diagnostic
Environment Investing in our customers through tech
Turas Nua
Changing Lives, Creating Futures
• Employment activation service started 2016
• Mandated programme
• Employing 330 people across 40 locations
• Now working with 20,000 employers
Changing Lives, Creating Futures
Turas Nua has placed
27,000
C u s t o m e r s i n t o J o b s i n 3 y r s
How did we achieve 27,000 jobs ?
• Mix of hunters (employer services / recruiters) & farmers
(advisers)
• 100% focus on the candidates
• Build it and they will come attitude to employers
Changing Lives, Creating Futures
Changing Lives, Creating Futures
Great farmers reap what they Sow
Brand & Messaging
• Authenticity
• Relevance
• 5 P’s: Purpose , Pride, Partnership,
Protection, & Personalisation
Utilising future tech
to become better
farmers
Artificial intelligence and recruitment – its current
role and possible future relevance
Colin Donnery
University of Ulster 2017
Deep Learning
Machine Learning
(Narrow AI , Good for Tasks & Prediction
mostly drives efficiency)
Plateau will be
reached in 2 to 5
years
General AI
(Actual machine intelligence
capable of judgment, drives
productivity and innovation
itself )
Plateau will be
reached
in more than 10
years
General AI develops
AI doesn’t develop beyond narrow AI
Scenario 1 - Terminator
• Good potential but legislation holds back adoption
• AI used for sourcing and selection but human makes final decision
• Recruitment staff “sell” jobs to applicants
• Augmentation of AI & recruiter
• Predictive hiring tech ubiquitous
Legislation slows adoption
Scenario 2 - Robot Wars
• AI robot carries out all recruiting functions: sourcing, selecting & hiring,
making all decisions
• AI decides whether humans or robots more suitable for jobs
• Humans only needed to “teach” the robot initially
• Vast sectors of the economy lose jobs
• Humans concentrate on creative functions
High adoption of AI by recruitment leaders
(Critical uncertainty 2)
Scenario 3 - Commodore 64
• Job applicants don’t want to deal with AI or Chatbots
• Narrow AI: Machine Learning, Natural Language processing, plateaus with no
development of recruitment tech
• Human continues to carry out most recruitment functions
Scenario 4 - Chatbot Charlie
• New uses found for existing AI in the recruitment process
• Chatbots are ubiquitous
• Scheduling of interviews & meetings are automated
• Video interviewing takes over from face to face
Scenario Plan for development and adoption of AI in the recruitment sector (Donnery, 2017)
(Critical uncertainty 1)
Machine Learning
in Everyday Use
Netflix Recommendations
People You May know on Social Media
Amazon Suggested Products
Spotify Playlist Recommendation
Waze Fastest Route
Natural Language Processing
/ Facial & Voice Recognition
SIRI
Apple X Facial Recognition
Current Products Using Machine Learning,
NLP & Voice Recognition in Recruitment
In 2017 over $1 billion has been invested in “AI” HR Tech start-ups by VC’s
Hubraum Chatbot
(Deutsche Telecom)
Happy Cows are Productive Cows
Colin Donnery
Email: cdonnery@frsrecruitment.com
Twitter: @cdonnery
Happy Farming 
www.frsrecruitment.com www.turasnua.ie

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Engage, Attract, Retain: Building Candidate Relationships in a Skills Shortage - Colin Donnery

  • 1. Engage, Attract, Retain: Building Candidate Relationships in a Skills Shortage Colin Donnery cdonnery@frsrecruitment.com @cdonnery
  • 2.
  • 3. That candidate - agency - client relationship thing…..
  • 4.
  • 5. • In-house Recruiters / Sourcers • HR / TA Tech • AI – Machine Learning HR Tech • Employer Brand • And what are agencies investing in? Not much . . . Corporates Investing in Candidate Engagement and Agency Reducing Resources
  • 6. Lets double down on candidates……… and move
  • 9.
  • 10.
  • 12. Turas Nua Changing Lives, Creating Futures • Employment activation service started 2016 • Mandated programme • Employing 330 people across 40 locations • Now working with 20,000 employers Changing Lives, Creating Futures
  • 13. Turas Nua has placed 27,000 C u s t o m e r s i n t o J o b s i n 3 y r s
  • 14. How did we achieve 27,000 jobs ? • Mix of hunters (employer services / recruiters) & farmers (advisers) • 100% focus on the candidates • Build it and they will come attitude to employers Changing Lives, Creating Futures Changing Lives, Creating Futures
  • 15. Great farmers reap what they Sow Brand & Messaging • Authenticity • Relevance • 5 P’s: Purpose , Pride, Partnership, Protection, & Personalisation
  • 16. Utilising future tech to become better farmers
  • 17. Artificial intelligence and recruitment – its current role and possible future relevance Colin Donnery University of Ulster 2017
  • 18.
  • 19.
  • 20. Deep Learning Machine Learning (Narrow AI , Good for Tasks & Prediction mostly drives efficiency) Plateau will be reached in 2 to 5 years General AI (Actual machine intelligence capable of judgment, drives productivity and innovation itself ) Plateau will be reached in more than 10 years
  • 21. General AI develops AI doesn’t develop beyond narrow AI Scenario 1 - Terminator • Good potential but legislation holds back adoption • AI used for sourcing and selection but human makes final decision • Recruitment staff “sell” jobs to applicants • Augmentation of AI & recruiter • Predictive hiring tech ubiquitous Legislation slows adoption Scenario 2 - Robot Wars • AI robot carries out all recruiting functions: sourcing, selecting & hiring, making all decisions • AI decides whether humans or robots more suitable for jobs • Humans only needed to “teach” the robot initially • Vast sectors of the economy lose jobs • Humans concentrate on creative functions High adoption of AI by recruitment leaders (Critical uncertainty 2) Scenario 3 - Commodore 64 • Job applicants don’t want to deal with AI or Chatbots • Narrow AI: Machine Learning, Natural Language processing, plateaus with no development of recruitment tech • Human continues to carry out most recruitment functions Scenario 4 - Chatbot Charlie • New uses found for existing AI in the recruitment process • Chatbots are ubiquitous • Scheduling of interviews & meetings are automated • Video interviewing takes over from face to face Scenario Plan for development and adoption of AI in the recruitment sector (Donnery, 2017) (Critical uncertainty 1)
  • 24. People You May know on Social Media
  • 28. Natural Language Processing / Facial & Voice Recognition
  • 29. SIRI
  • 30. Apple X Facial Recognition
  • 31. Current Products Using Machine Learning, NLP & Voice Recognition in Recruitment In 2017 over $1 billion has been invested in “AI” HR Tech start-ups by VC’s
  • 33. Happy Cows are Productive Cows
  • 34. Colin Donnery Email: cdonnery@frsrecruitment.com Twitter: @cdonnery Happy Farming  www.frsrecruitment.com www.turasnua.ie

Editor's Notes

  1. 86,0000 60k have gone through the TN programme 21446 are on programme as of now