Human Resources (HR)

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• Natural Language Processing (NLP)
• Automated Scoring
• Artificial Intelligence (AI) in Assessment | AON ...The 8 Questions You Need to Know the Answers to
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  • I asked ChatGPT to write my cover letters. 2 hiring managers said they would have given me an interview but the letters lacked personality. ... ChatGPT | OpenAI

Companies spend a lot of time and money every year on hiring campaigns and assessing their employees’ performance and motivation. Using advanced technological tools in this process is essential to gain an edge over competitors and acquire the right talent first. Many companies usually hire a large number of candidates each year, making it extremely difficult for recruiters to assess each candidate’s experiences and skills. AI-driven talent assessments help to understand the prospects much better without spending long hours evaluating resumes manually. - How Artificial Intelligence and Machine Learning Will Improve Assessment Processes | Nigel Lindemann - SurveyAnyplace

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Let me rattle off a few of the huge use-cases we’ve uncovered in the last few months:

1. Creating content for job descriptions, competency guides, learning outlines, and onboarding and transition tools.
2. Create skills models, experience models, and candidate profiles for recruiting
3. Analyze and improve pay, salary benchmarks and rewards
4. Performance management and feedback
5. Coaching and leadership development
6. Individual Coaching, Mental Health, and Wellbeing
7. HR self service and knowledge management

I want you to remember that this technology will be a massive step forward in business. - The Role Of Generative AI And Large Language Models in HR | Josh Bersin

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.

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.

Resumes / CVs

• Résumé parsing | Wikipedia

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.

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

Match Your Resume To A Job Description (Resume Scanner) Python

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.

Applicant Tracking System (ATS)

NLP Tutorial 16 - CV and Resume Parsing with Custom NER Training with SpaCy KGP Talkie

Extract Skills from a PDF Resume using Python soumilshah1995

Hiring Process

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."

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.

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.

Amazon scraps AI recruiting tool showing bias against women Machine-learning specialists discover their new recruiting engine did not like women

Recruiting

How to Use ChatGPT in Recruitment: 20 Prompts to Improve Your Hiring Processes in 2023 Hi and welcome! My name is 👩🏽‍💻Destiny Lalane and today I’m going to show you 20 different ways you can use ChatGPT in your recruitment process. I’ll include the prompts below so you can copy and paste them into your workflow. Signup for my free newsletter A Safe Space🔒 today for more free recruiting advice: https://destinylalane.com/recruiting But first, if you're new to this software and haven't had a chance to explore ChatGPT yet, make sure to sign up for an account on OpenAI’s website which is currently available for free at https://chat.openai.com/chat What is ChatGPT? For those who may not be familiar, ChatGPT is a variant of the GPT-3 language model that has been fine-tuned explicitly for chatbot-style conversation generation. GPT-3, or "Generative Pre-training Transformer 3," is a massive language model developed by OpenAI that is designed to generate text that is similar to human writing. It can be customized for various language tasks by adjusting the data and task-specific parameters used during training. Prompts to use ChatGPT in your Recruitment Process: 💻Create a boolean string search. Create a boolean string search for me. I’m looking for a [describe what you’re looking for in a candidate] 💻Writing emails explaining the process to candidates. Write an email to a candidate telling them this [insert text here] 💻Writing bullet points. write this in bullet points 💻Write a post announcing open roles. Write an announcement for me to share with my [context] that we’re hiring for [list roles] 💻Discovering job title variations to guide your search. List 10 job title variations for [insert text here] 💻Generating new subject lines for your sourcing efforts. What are 5 interesting subject lines to attract a candidate to work for my company called [company]. This role is [onsite, remote, or hybrid] and you’ll come in as our [job title] focusing on [tasks]. 💻Personalizing outreach to never say "hope you're well" again in a sequence. What’s a better way to say [insert text here] 💻Detecting tone in writing. Re-write this email to sound more empathetic [insert text here] 💻Learning more about the roles you're recruiting for. What is [insert text here] 💻Drafting interviewer training guides. Describe this in numbered bullet points [insert text here] 💻Explain complex ideas in simple terms. Explain[concept] to a child. What’s the difference between [x] and [x]. 💻Providing hard-to-explain office location directions. Describe these directions in a few sentences: [insert text here] 💻Drafting hiring event invites and descriptions. Create an email template for me to use to invite [candidate or company] to [event type] 💻Expanding on company values. Expand on my company values [insert text here] 💻Generating hiring ads. Create three ads for [insert text here] 💻Updating job descriptions. Re-write this job description to mention it will require quarterly travel to our headquarters. 💻Re-writing careers pages to highlight your unique value proposition. Re-write this text on my careers page to highlight my unique value proposition [insert text here] 💻Re-write your company pitch in candidate-friendly language. Re-write this for my company website in simple terminology [insert text here] 💻Re-write text with emojis. Re-write this to include emojis [insert text here] 💻Creating interview FAQ guide for candidates. Explain to the candidate in neutral language that [insert text here] As a recruiter, writer, and previous marketer, I'm not afraid of AI intruding on my ability to make a living. This is just the beginning. :) Please let me know if you have any questions, I'm happy to clarify anything I've shared. I’m curious, about how has your experience been with ChatGPT, feel free to comment below. If you are interested in becoming a recruiter go here: https://www.destinylalane.com/ask Why Use Natural Language Processing in Recruitment? | Mya Can AI-powered Natural Language Processing truly make your recruiting process more conversational? Here’s how thriving TA leaders use it to their advantage. Artificial Intelligence in Recruiting A whistlestop tour of the artificial intelligence products used in recruiting Intelligent recruitment using NLP and ML to identify the most suitable candidates by Victor Robin It is very common to get 100s of applicants for a role, which is becoming difficult for recruiters to shortlist the most relevant candidates. We present here a solution developed at dunnhumby that leverages Natural Language Processing to assist our recruitment team. By simply providing a reference resume, our tool helps identifying similar candidates, helping us focus on the right candidates. How Unilever Is Using Artificial Intelligence And Machine Learning In Their Recruitment If you would like more information on this topic, please feel free to visit my website and sign up for content updates! I write articles every week on various different topics such as Big Data, AI and Key Performance Indicators. AI and HR | Recruiting Technology SocialTalent Introduction: AI Empowered Recruiter Course by Rezoomex AI Empowered Recruiter course is a FREE course offered by Rezoomex that will help you to become a smart, future-proof recruiter by using Artificial Intelligence to your advantage. In this two-weeks online course, you will learn how to train your computer to assist you in recruitment leveraging Machine Learning & Natural Language Processing. Finding the perfect candidate: How AI can help HR recruitment Tonya Hall sits down with Phil Libin, co-founder and CEO of All Turtles, to learn more about how AI can be used to help funnel candidates in a company's recruitment process. Transforming Talent Acquisition with AI - L’Oréal Case Study Find out how the world's largest cosmetics company transformed its Talent Acquisition practices inside out. Speaker: Niilesh Bhoite AI to Identify Skill Gaps and Surface Hidden Expertise Using AI to Identify Skill Gaps and Surface Hidden Expertise APQC Webinar - APQC is the world's foremost authority in benchmarking, best practices, process and performance improvement, and knowledge management. HR Analytics 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 (https://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. 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.