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Artificial Intelligence disruption:
How technologies are predicted to change the
way we manage talent
Przemek Berendt
VP G...
Are we doomed?
DEFINITION
AI is a collective term for computer
systems that can sense their
environment, think, learn, and take
action in...
AI Taxonomy
Deep Learning Machine Learning Artificial Intelligence
The subset of machine learning
composed of algorithms t...
AI works in 4 ways
Hardwired
/specific
systems
Adaptive
systems
Assisted Intelligence
AI systems that assist
humans in mak...
AI revolution is already happening
Productivity growth
1850 - 1910 1995-2005 1993 - 2007 2015-2065
0.3%Steam Engine
0.6%IT
0.4%Early Robotics
0.8 – 1.4%Autom...
Where will the value gains come from with AI?
15.7
trillion
Global GDP growth
by 2030
AI in Talent Acquisition
Candidate Journey
Awareness
Application Recruitment
process Background
check
Offer
On
boarding
Day 1
Look alike
modeling
E...
Programmatic advertising – look alike modeling
Identify
applications of
ideal candidates
Career website
Track growth and
c...
Profile Augmentation
Data we control
Search engine data
On-site search data
Intent Graph
+
Behavior data
Browsing history
...
Candidate Outreach – 100K versions of EVP
Intelligent targeting Marketing AutomationData Science
Analyze millions of
data ...
Candidate Outreach – personalize the message
Chatbot
• Works 24/7
• Can proactively talk to career
website visitors
• Can nurture candidates across
funnel
• Handle bas...
ChatBot & ML Assisting Application
Linkedin Social
Login
CV Upload Machine Learning
identifies gaps
Chatbot
Capture Basic ...
CV Screening
Your HR data Automated CV Screening Find patterns
CVs of your
employees
Scan not only key words
but meaning
T...
Language competency
Natural Language
Processing
• Fluency
• Pronunciation
• Vocabulary usage
• Grammatical complexity
• To...
Advanced competency test
Neuroscience games
Cognitive traits
• Processing speed
• Pattern recognition
• Continuous attenti...
Video Interview
Natural Language
Processing
+
Facial Recognition
• Body language
• Word choice
• Tone
• Interview transcri...
Appointment setting
https://x.ai/how-it-works/
Blockchain Resume
Blockchain
A blockchain is a decentralized and distributed
digital ledger that is used to record transac...
VR
Source; Facebook Spaces
Use cases:
• Video interview
• Meet the team
• See your future working environment
Benefits
• E...
Are recruiter jobs at risk?
“Just as spreadsheets drove costs down and demand up for
calculations, machine learning—the ap...
How your role may change
Teach AI systems how
they should perform
AI Trainers
Using AI to architect
educational and
career...
How much time we have
Katja Grace's team at the University of Oxford’s
Future of Humanity Institute contacted 1634
leading...
Companies to watch
https://x.ai/how-it-works/
https://www.hirevue.com/https://www.thiswayglobal.com/https://beamery.com/ht...
How to prepare
Stay up to date with
emerging technologies.
Identify missing skills
Learn
Keep trying existing
solutions
Ex...
Thank you
@pberendt Linkedin.com/pberendt
Artificial Intelligence disruption: How technologies are predicted to change the way we manage talent
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Artificial Intelligence disruption: How technologies are predicted to change the way we manage talent

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Artificial Intelligence (AI) and other emerging technologies are expected to disrupt workplaces across industries and take away millions of jobs in the next decade. Can talent acquisition professionals ignore the technology storm happening all around them? Will their jobs be around in the next 10 years? Will technology replace humans, or just augment their capabilities?
This session will equip you with the basic understanding of key technologies that are changing the world today: Artificial Intelligence and Machine Learning, Blockchain and Virtual Reality; and present their potential applications across candidate and employee journeys.
Join me to help prepare yourself for the radical changes just around the corner.

Published in: Recruiting & HR
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Artificial Intelligence disruption: How technologies are predicted to change the way we manage talent

  1. 1. Artificial Intelligence disruption: How technologies are predicted to change the way we manage talent Przemek Berendt VP Global Marketing Luxoft @pberendt Linkedin.com/pberendt
  2. 2. Are we doomed?
  3. 3. DEFINITION AI is a collective term for computer systems that can sense their environment, think, learn, and take action in response to what they’re sensing and their objectives What is AI Source:
  4. 4. AI Taxonomy Deep Learning Machine Learning Artificial Intelligence The subset of machine learning composed of algorithms that permit software to train itself to perform tasks, like speech and image recognition, by exposing multilayered neural networks to vast amounts of data. A subset of AI that includes abstruse statistical techniques that enable machines to improve at tasks with experience. The category includes deep learning. Any technique that enables computers to mimic human intelligence, using logic, if-then rules, decision trees, and machine learning (including deep learning)
  5. 5. AI works in 4 ways Hardwired /specific systems Adaptive systems Assisted Intelligence AI systems that assist humans in making decisions or taking actions. Hard- wired systems that do not learn from their interactions. Human in the loop Assisted Intelligence AI systems that augment human decision making and continuously learn from their interactions with humans and the environment. + Automation Automation of manual and cognitive tasks that are either routine or non-routine. This does not involve new ways of doing things – automates existing tasks. No human in the loop Autonomous Intelligence AI systems that can adapt to different situations and can act autonomously without assistance.
  6. 6. AI revolution is already happening
  7. 7. Productivity growth 1850 - 1910 1995-2005 1993 - 2007 2015-2065 0.3%Steam Engine 0.6%IT 0.4%Early Robotics 0.8 – 1.4%Automation Source: McKinsey Global Institute The activities most susceptible to automation are physical ones in highly structured and predictable environments, as well as data collection and processing.
  8. 8. Where will the value gains come from with AI? 15.7 trillion Global GDP growth by 2030
  9. 9. AI in Talent Acquisition
  10. 10. Candidate Journey Awareness Application Recruitment process Background check Offer On boarding Day 1 Look alike modeling Engagement Exit planning Research & Exploration Job Discovery Apply Interview Paperwork Negotiations Profile augmentation Candidate outreach Chatbot CV Screening Company Candidate Language competency test Advanced competency test Appointment setting Video interview
  11. 11. Programmatic advertising – look alike modeling Identify applications of ideal candidates Career website Track growth and conversion of incoming web traffic Pipeline growth Capture their cookie data from website Cookies Find ‘cookies’ that look alike your data set DMP Advertise to ‘look alike set’ Advertising
  12. 12. Profile Augmentation Data we control Search engine data On-site search data Intent Graph + Behavior data Browsing history Pages visited Valued outcomes DISC Profile Social Graph Shared content Brand affinity Data we don’t control
  13. 13. Candidate Outreach – 100K versions of EVP Intelligent targeting Marketing AutomationData Science Analyze millions of data points to understand personas and their behaviors Build multiple ways your EVP is conveyed Deliver right messages at the right time
  14. 14. Candidate Outreach – personalize the message
  15. 15. Chatbot • Works 24/7 • Can proactively talk to career website visitors • Can nurture candidates across funnel • Handle basic questions on company culture benefits • Guide through application process • Provide immediate feedback on application
  16. 16. ChatBot & ML Assisting Application Linkedin Social Login CV Upload Machine Learning identifies gaps Chatbot Capture Basic Data Convert text into data points in your Talent Management Solution Compare candidate with records of your employees Fill out gaps by asking questions
  17. 17. CV Screening Your HR data Automated CV Screening Find patterns CVs of your employees Scan not only key words but meaning Talk to most promising candidates
  18. 18. Language competency Natural Language Processing • Fluency • Pronunciation • Vocabulary usage • Grammatical complexity • Topical coherence • Progression of ideas
  19. 19. Advanced competency test Neuroscience games Cognitive traits • Processing speed • Pattern recognition • Continuous attention • Ability to avoid distraction • Impulsivity • Working memory • Planning • Sequencing • learning Emotional traits • Trust • Risk profile • Reward sensitivity • Perseverance • Tolerance for ambiguity • Emotional sensitivity • Creativity • Learning from feedback • Ability to delay gratification Understand the candidate on a deep level through fun
  20. 20. Video Interview Natural Language Processing + Facial Recognition • Body language • Word choice • Tone • Interview transcript https://www.hirevue.com/blog/how-to-take-a-hirevue-interview/
  21. 21. Appointment setting https://x.ai/how-it-works/
  22. 22. Blockchain Resume Blockchain A blockchain is a decentralized and distributed digital ledger that is used to record transactions across many computers so that the record cannot be altered retroactively without the alteration of all subsequent blocks and the collusion of the network. This allows the participants to verify and audit transactions inexpensively. They are authenticated by mass collaboration powered by collective self-interests. The result is a robust workflow where participants' uncertainty regarding data security is marginal. https://en.wikipedia.org/wiki/Blockchain A person (subject of verification), educational institutions and employers would have a unique ID and participate in such blockchain Every event • Completed course • Degree • Job • Role • Assignment Is reflected in the blockchain as a transaction in the ledger No need for background checks!
  23. 23. VR Source; Facebook Spaces Use cases: • Video interview • Meet the team • See your future working environment Benefits • Enhanced candidate experience • Might remove unconscious bias
  24. 24. Are recruiter jobs at risk? “Just as spreadsheets drove costs down and demand up for calculations, machine learning—the application of AI to large data sets—will do the same for predictions, argue Ajay Agrawal, Joshua Gans and Avi Goldfarb” “The combination of the AI system and specialist staff has brought about increased productivity, meaning Otto customers are now getting their orders sooner and are therefore more likely to remain loyal to the company.” https://www.weforum.org/agenda/2017/06/why-ai-technology- isn-t-always-a-threat-to-your-job/
  25. 25. How your role may change Teach AI systems how they should perform AI Trainers Using AI to architect educational and career track based on data Career engineer Bridge the gap between technologists and business leaders. provide clarity, as AI systems’ opaqueness increases. Explainers Will help ensure that AI systems are operating as designed and that unintended consequences are addressed with the appropriate urgency. Sustainers Using data, and AI analysis to find best next move Career Coach http://sloanreview.mit.edu/article/will-ai-create-as-many-jobs-as-it-eliminates/
  26. 26. How much time we have Katja Grace's team at the University of Oxford’s Future of Humanity Institute contacted 1634 leading AI academics and industry experts from around the world to ask them when they thought intelligent machines would outperform humans at a variety of tasks and occupations, and when they would be superior at all tasks. A total of 352 experts responded, and the researchers calculated median dates based on their predictions. https://www.weforum.org/agenda/2017/07/how-long-before-a-robot-takes-your-job-here-s-when-ai-experts-think-it-will-happen/
  27. 27. Companies to watch https://x.ai/how-it-works/ https://www.hirevue.com/https://www.thiswayglobal.com/https://beamery.com/https://www.pymetrics.com/ https://hiremya.com/ http://jobbot.ai/ http://nordic.businessinsider.com/unilever-artificial-intelligence-hiring-process-2017-6/ https://ideal.com/ai-recruiting/
  28. 28. How to prepare Stay up to date with emerging technologies. Identify missing skills Learn Keep trying existing solutions Experiment Bring AI tools to your daily work, see if it can help you Adopt
  29. 29. Thank you @pberendt Linkedin.com/pberendt

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