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Artificial Intelligence disruption: How technologies are predicted to change the way we manage talent
The document discusses the transformative impact of artificial intelligence (AI) on talent management and recruitment, detailing various AI technologies and their applications in enhancing hiring processes. It highlights the gradual shift in productivity due to AI, the role of machine learning in automating tasks, and the evolving job functions of recruiters as they adapt to new technologies. Additionally, it addresses the potential for AI to create new roles while emphasizing the importance of staying updated with emerging technologies and skills.
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Artificial Intelligence disruption: How technologies are predicted to change the way we manage talent
- 2. Artificial Intelligence disruption: Howtechnologies are predicted to change the way we manage talent Przemek Berendt VP Global Marketing Luxoft @pberendt Linkedin.com/pberendt
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- 4. DEFINITION AI is acollective 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:
- 5. AI Taxonomy Deep LearningMachine 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)
- 6. AI works in4 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.
- 7. AI revolution isalready happening
- 8. 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.
- 9. Where will thevalue gains come from with AI? 15.7 trillion Global GDP growth by 2030
- 10. AI in TalentAcquisition
- 11. Candidate Journey Awareness Application Recruitment processBackground 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
- 12. 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
- 13. Profile Augmentation Data wecontrol 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
- 14. 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
- 15. Candidate Outreach –personalize the message
- 16. 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
- 17. ChatBot & MLAssisting 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
- 18. CV Screening Your HRdata Automated CV Screening Find patterns CVs of your employees Scan not only key words but meaning Talk to most promising candidates
- 19. Language competency Natural Language Processing •Fluency • Pronunciation • Vocabulary usage • Grammatical complexity • Topical coherence • Progression of ideas
- 20. Advanced competency test Neurosciencegames 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
- 21. Video Interview Natural Language Processing + FacialRecognition • Body language • Word choice • Tone • Interview transcript https://www.hirevue.com/blog/how-to-take-a-hirevue-interview/
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- 23. Blockchain Resume Blockchain A blockchainis 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!
- 24. VR Source; Facebook Spaces Usecases: • Video interview • Meet the team • See your future working environment Benefits • Enhanced candidate experience • Might remove unconscious bias
- 25. Are recruiter jobsat 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/
- 26. How your rolemay 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/
- 27. How much timewe 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/
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- 29. How to prepare Stayup 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
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