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3 Ways Artificial Intelligence Can Boost Human Resource Management
Human resources has always been about people. In many ways, that is changing thanks to artificial intelligence. Artificial Intelligence can help improve human resource management in three significant ways. Watch the video to find out how.
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AI IN HR - WHAT IS THE EFFECT OF AUTOMATION AND AI ON HR?
What is the impact of AI on HR? How will automation impact the HR profession and what should HR be doing about it? This is the topic of this presentation from Ian Bailie at the &NOW conference in Istanbul, Turkey in May 2019. To learn more about the future of HR, visit the myHRfuture Academy. It is the leading destination for HR professionals looking for online courses that focus on the future of the HR profession. Our course content is designed by leading HR professionals that are innovators and experts in their fields. They regularly run workshops or present at industry conferences and come from some of the world’s largest companies. We know that you're busy and that in-person training or conferences can be expensive and time-consuming, that's why we've created bite-sized training courses that are broken into short video clips and are designed for you to get incredible insights at the pace that you want, so you can learn wherever and whenever you want.
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Resumes / CVs
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Microsoft Resume Assistant: Word + AI + LinkedIn
Microsoft Word's Resume Assistant helps Office 365 subscribers craft compelling resumes with personalized insights powered by LinkedIn. With over 80% of resumés created in Word, Resume Assistant helps job seekers showcase accomplishments, be more easily discovered by recruiters, and find their dream job.
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Got My Resume Through an Applicant Tracking System (ATS) with a 95% Success Rate!
In this video you’ll learn resume hacks on how to get through company’s automated resume scanning software using the right keywords. If you are applying online to larger companies, the odds are, your resume is being sorted ahead of time by a computer before it ever gets to a recruiter. Having the right keywords on your resume is essential to getting past those bots!
Topics we will cover:
- What these robots are scanning for
- How to uncover the right keywords needed for your resume
- How to put keywords in the right locations on the resume
- How to ensure you have keywords the right number of times
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Match Your Resume To A Job Description (Resume Scanner)
Python
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AI for Resumes
Recruiting is a 200 billion dollar industry that's all about judging potential job candidates and seeing if they're a good fit for a position at a company. Recruiters receive thousands of resumes and are responsible for analyzing all of them. There's essentially a massive amount of data that these humans have to parse through and find the best ones. This is easily a problem machine learning can solve, we'll build an app that can classify resumes into 27 different job categories using Natural Language Processing (NLP) via a convolutional neural network. I'll explain how in this video. Also its midterm time, so see the link below for the midterm assignment.
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Applicant Tracking System (ATS)
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NLP Tutorial 16 - CV and Resume Parsing with Custom NER Training with SpaCy
KGP Talkie
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Extract Skills from a PDF Resume using Python
soumilshah1995
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Hiring Process
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How Pymetrics Uses AI to Remove Bias From the Hiring Process
Jul.08 -- Frida Polli, chief executive officer and and co-founder of Pymetrics, discusses the use of artificial intelligence to remove human biases from the corporate hiring process. She speaks with Bloomberg's Emily Chang on "Bloomberg Technology."
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Artificial Intelligence: The Robots Are Now Hiring | Moving Upstream
Some Fortune 500 companies are using tools that deploy artificial intelligence to weed out job applicants. But is this practice fair? In this episode of Moving Upstream, WSJ's Jason Bellini investigates.
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How AI Changes The Way We Apply For Jobs | CNBC
This software scans your face, analyzes your word choice and monitors your intonation — and then decides whether you’re worth hiring.
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Amazon scraps AI recruiting tool showing bias against women
Machine-learning specialists discover their new recruiting engine did not like women
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Recruiting
HR Analytics
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HR Analytics: Using Machine Learning to Predict Employee Turnover - Matt Dancho, Business Science
In this talk, we discuss how we implemented H2O and LIME to predict and explain employee turnover on the IBM Watson HR Employee Attrition dataset. We use H2O’s new automated machine learning algorithm to improve on the accuracy of IBM Watson. We use LIME to produce feature importance and ultimately explain the black-box model produced by H2O. Matt Dancho is the founder of Business Science (http://www.business-science.io), a consulting firm that assists organizations in applying data science to business applications. He is the creator of R packages tidyquant and timetk and has been working with data science for business and financial analysis since 2011. Matt holds master’s degrees in business and engineering, and has extensive experience in business intelligence, data mining, time series analysis, statistics and machine learning.
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Introduction To HR Analytics
Understand the evolution of Analytics in Human Resource industry. The way company hires have drastically changed. Part of a Full Stack course, this video gives preview into how the Human Resource industry has changed.
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