AI in Talent Acquisition
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Today, During a Management Development Program at Radisson Hotel, Noida. Participant from PSUs like NTPC, GAIL and HR Personnel from Corporate with more than 20 years of experience. A grand Teaching Learning Experience
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AI in Talent Acquisition
- 1. Artificial Intelligence in Talent Acquisition Director, School of Engineering & Technology, Noida International University, Greater Noida Prof. (Dr.) Neeta Awasthy
- 2. Overview of AGI or AI Natural Language Processing Artificial Neural Network
- 3. Examples IBM Watson Idibon Rapid Miner Corlicol Demo Alchemy Vicarious Hear with Gridspace See with Clarifai Data News
- 4. Premberly at work at LinkedIn
- 5. What is API https://youtu.be/s7wmiS2mSXY
- 7. Why Hiring is difficult A bad hiring decision can cost up to five times the bad hire’s annual salary 80% of employee turnover is due to bad hiring 22% of quitting takes place in first 45 days
- 8. Why Bad Hiring? Because too much importance being given on whether the candidates meets the criterion Less importance on priorities mission, way of working and image etc. Less importance on “What change she can bring the in the organisation”
- 9. Talent Aquisition Plan & Prepare Identify & Evaluate Acquire & Engage Job Fit Candidate Fit Onboarding
- 10. Recruitment marketing software Recruitment marketing is the application of marketing best practices, The recruitment marketing software will be the best tool to create brand awareness of your company
- 12. What all do you do when you start Identification of the Job Description : Old Word Documented v/s Dynamic Job Description Management System Job Criterion v/s Job Description Specified skill set and knowledge domain (Best Fits) Ideal Image of the person sitting there _____________________ Float the vacancy Media (Newspaper/ Social Media/ Placement Agencies / Campuses) Big Data Analytics on how to get the best Return on Investment Online forms and filters How to make that form, which gives you all the requisite inputs
- 13. Recruitment Process Test of Logical Reasoning, Quantitative – (ANN based Question Bank) Technical Test or Programming Skills - (ML based AUTOMATA) Test of Practical Skills - (TESLA) Cognitive Skills and Communication – (SVAR) Soft Skills – (AM soft skills) Knowledge Testing – (DEEP Learning Based set of Questions) Critical Thinking - Creativity
- 14. Subjective Tests: Write an essay about yourself (NLP based) Personal Interview Salary Negotiations Onboarding
- 15. AI for screening: Handles too much volume. AI identifies ‘Good Candidates’ AI shortlists and Grades AI reduces time and thereby cost of hiring
- 16. Rediscovering previous candidates Finding Treasure from waste
- 17. Recruitment chatbot The main functions of a recruitment chatbot is to streamline the top of the funnel by providing real-time, on-demand communication to candidates. Also, answering FAQs about the job, providing feedback and updates, and scheduling a follow up or interview with a human recruiter..
- 18. De-biasing software Specifically, recruiting tools that use AI to identify and remove bias from job descriptions, resume screening, ignoring candidates’ demographics (e.g., implied race, gender, and age)
- 19. Super-targeting job ads New methods of job ads include re-targeting candidates Advertising your role to people who’ve visited your company website before Geo-targeting i.e. advertising your role to people physically nearby The recruiters will be eager for better tools to get their job postings in front of the right eyeballs.
- 20. Case Study: Hiring of a sales Guy
- 21. Hiring Sales Guys for “Study by Janak” v/s
Editor's Notes
- I am an Electronics Engineering graduate from HBTI and I finished my Ph.D. in Artificial Neural Network in 2005 in the area of "Neural Predictive Mechanism for Speech Recognition". I created an emulation of brain in form of a pruning network. .......Size of cell and size of brain............ The same technology is known now a days as 'Deep Learning'. Well! so this is how I look at the world around me... Any temperature, pressure, text, image, video, audio, weather, geospatial, biomedical finance or stock market... data is just yet another data to me. I use this data to reap logical decision.
- Artificial Neural Network, Machine Learning and Natural Language Processing together form the foundation of Artificial Intelligence; whose target is to create ‘General Intelligence’. Hence known as ‘Artificial General Intelligence’. Artificial Neural Network is a Random Function Approximation tool which can learn from observing data sets. ANN have been found giving exceptionally good results in Gaming, Cancer detection, progress in Neuroscience, personalized Marketing and everyday Interfaces. ANN algorithm is designed to check a sample of database and find results. These results are then extrapolated it to the rest of dataset. ANN, together with other algorithm like Nearest neighborhood, Self Organising Maps, Bayesian Net, random forest, K –mean cluster and many other, form the basis of Machine learning. Machine learning in the method of data analysis based on Pattern recognition where supervised and unsupervised learning takes place.
- Watson is a question answering computer system capable of answering questions posed in natural language. Watson bought the capabilities developed by: Idibon which offers natural language processing solutions enabling organizations to understand unstructured data. Watson also bought Corlicol, the NLP platform from any language to any language. AlchemyAPI. Alchemy were acquired by IBM in 2015 and their technology is now a core component of the cognitive APIs offered on IBM's Watson Developer Cloud. Alchemy Language is now Watson Natural Language Understanding and DataNews is now Watson Discovery News Input streaming speech and text from anywhere. Gridspace interfaces with all your communications from phones, mobiles, network components and IoT. HEAR WHAT WE HEAR. It Decodes live with high accuracy at scale. Gridspace turns these conversation feeds into text, entities, labels, ... Clarifai is Artificial Intelligence with a vision. It has image and video recognition APIs to build smarter apps to see the world like you do. Vicarious is developing artificial general intelligence for robots. By combining insights from generative probabilistic models and systems neuroscience, the architecture trains faster, adapts more readily, and generalizes more broadly than AI approaches commonly used today. Rapid Miner is the enterprise-scale data science platform that unites data prep,machine learning, and predictive model deployment.
- Play (using MidTier)+ Ember, (the web framework)+ Ability (to manage states) using in the mid-tier (Play) along with a web framework (Ember) for JavaScript that would deliver strong conventions, easy ability to manage state, a robust build and testing methodology …Neha Jain (again HBTI alumni) added online Machine Learning model, wining CloudNow Innovation Awards this year.
- What is an Application Programming Interface
- Now, here I had to take some help of my friends in HR industry….
- There is a Job Criterion and there is a Job Description
- such as analytics, multi-channel use, targeted messaging, and tech-enabled automation, to attract, engage, and nurture candidates who haven’t yet applied to a job and converting them into applicants by communicating your employer brand and value. and interest in your open roles, attract candidates who self-select themselves into the application process, and keep candidates informed and engaged throughout the recruitment cycle.
- TalentBin operates a talent search engine that allows technical recruiters and hiring managers to find passive candidates whereas Gozaik allows employers to post targeted job ads on social networks. Entelo Stack ranks inbound applicants for open jobs and lets recruiters perform a consolidated search across talent in an Applicant Tracking Systems.
- AUTOMATA – To Identify how well the candidate can apply the concepts while Programming TESLA – A framework designed to bring balance between theoretical knowledge and practical skills for the blue collared jobs like banking and insurance. SVAR- enables automated evaluation of fluency, pronunciation, listening & comprehension of English language with consistency and accuracy using Advance Speech Recognition and Machine Learning AM Soft Skills- Artificial Machine soft skills This scoring algorithm provides assessment on real life working environment.
- AI used with Application Tracking System learns what good candidates look like based on your past hiring decisions. AI also learns about your current employees’ experience, skills, and other qualifications are and then applies that knowledge to automatically screen, grade, and shortlist new Typical high-volume job posting receives more than 250 resumes with 65% of these resumes are ignored. The benefits of using AI for screening are the potential to reduce cost per hire by 70% and reduce time to hire from 34 to 9 days.
- candidate rediscovery is mining the existing resumes in Applicant Tracking System to source prior applicants for a current requirement. It uses AI to learn the requirements of the role and then scans resumes to find candidates with matching qualifications. It allows you to tap into the talent pool that you’ve already spent resources attracting, sourcing, and engaging.
- As a recruiting tool, a chatbot uses natural language processing to understand text like a human would. A recruitment chatbot holds the potential to massively improve the candidate experience by enabling time-strapped recruiters to provide unlimited and instantaneous, electronic, touch points.
- This era is not for spray and pray. Because every ad spray is expensive. You would love to float ads only with the right audience…. Case study…. Hiring for Patanjali FMCG and Hindustan Unilever. Which newspaper and channels will you target?
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