Top 6 Companies Leading the Way for Machine Learning in HR

The use of AI and machine learning in human resources (HR) has become increasingly popular in recent years as companies seek to improve their hiring, retention, and employee engagement practices.

With the right machine learning tools and techniques, HR professionals can better understand what drives employee satisfaction and performance, reduce bias in the hiring process, and optimize their talent management practices.

In this article, we will highlight the top 6 companies that are leading the way in the machine learning and HR industry, showcasing their innovative solutions and assessing the pros and cons of each so you can make an informed decision for your department. 

What is machine learning and how can it be used in HR?

Machine learning is a type of artificial intelligence that imitates the way humans learn. By analyzing vast amounts of data, referred to as big data, machine learning technologies can predict outcomes. 

This can be used for automating time-consuming tasks like analyzing data sets and helping decision-making by providing valuable insights. But where does HR come into this? In just about all departments, deep learning can be implemented to help your team. Some examples of machine learning applications include:

1. Creating reports on employee data to make decisions about learning and development

2. Chatbots to help answer new employees’ questions during the onboarding process

3. Applicant tracking to organize and optimize your hiring strategy

4. Automate candidate assessments to shortlist applicants

5. Summarize and prioritize resumes based on the most suitable skills for the role

6. Improve employee engagement and satisfaction by rewarding great work

7. Provide predictive analytics to inform decisions about human capital

8. Provide initiatives from people analytics

9. Monitor metrics like employee satisfaction

These are just some use cases, and it’s the tip of the iceberg. Using AI is revolutionizing how HR departments function and improving the employee experience, and for this reason, many companies are jumping on the bandwagon. So, without further ado, let’s take a look at the top 6 leading the way.

1. IBM Watson

IBM Watson is a global leader in machine learning and artificial intelligence for HR. Its HR solutions use machine learning to identify, hire, and retain top talent. IBM Watson’s AI-powered recruiting tools help companies automate their hiring processes, reduce bias, and make data-driven decisions.

Features 

IBM Watson Orchestrate™ is the company’s solution for HR. They offer digital workers that differ from a chatbot or a robot because they remember and learn. This means you can set them on repetitive and time-consuming tasks to free up your HR team for more important business. The following features make digital workers a great addition to your team:

1. Prebuilt skills: All digital workers come equipped with prebuilt skills like managing files, messages, emails, calendars, customer accounts, and open jobs. This means you can reap the benefits of IBM Watson straight away. 

2. Custom skills: To personalize your digital worker to streamline your organization’s workflows, you can add custom skills using API software and natural language processing. 

3. Integrations: Your workflows shouldn’t be stretched across multiple tools and software. Instead, allow your digital worker to do it all from one easy platform. There are a huge amount of integrations available to suit every business need. 

Pros and cons

2. HireVue 

HireVue is a leading provider of video interviewing solutions that use machine learning algorithms to analyze candidate interviews. Its AI-powered platform provides recruiters with insights into candidate performance, helping them make better hiring decisions.

Features

HireVue’s platform has a huge range of great features designed to streamline your HR workflows. Alongside their video software, they offer solutions for all elements of human resource management. Let’s take a look at some of the best:

1. Assessments: By combining occupational psychology and data science, HireVue offers automated and fun assessments to keep top candidates engaged and improve the screening process.

2. Hiring assistant: HireVue’s conversation AI assistant can chat with potential candidates and find the perfect fit for every role. It can be used for 24/7 support and contact, so following up with candidates has never been easier. 

3. Scheduling automation: From interviews to onboarding meetings, everything can be automated with HireVue. By eliminating the stressful and time-consuming back-and-forth, your HR team can become more efficient. 

Pros and cons

3. Eightfold AI

Eightfold AI is a talent intelligence platform that uses machine learning to match candidates with open positions and provide personalized career development recommendations to employees. Eightfold AI’s algorithms analyze data on skills, experience, and job preferences to help organizations find the right candidate for the job.

Features

Unlike other companies, Eightfold AI doesn’t just focus on the hiring process. Instead, they can also provide solutions to ensure your current team is the best they can be. They’re a one-stop shop for ensuring your company is full to the brim of the best talent in the industry. Take a look at the three main features that could revolutionize the way your business runs: 

1. Talent management: By creating a simple overview of all of your employees, you can make informed decisions on promotions, development, and improvement. 

2. Talent acquisition: Everything you need for recruitment is in one dashboard designed for inclusion. 

3. Talent flex: To save costs on hiring, you can source contingent workers directly from your pool of previous candidates. 

Pros and cons

4. Entelo

Entelo is a recruiting platform that uses machine learning to help companies identify and engage with top talent. Its algorithms analyze social media, professional networks, and other data sources to find candidates who are a good fit for the job.

Features

Entelo focuses on inclusion and optimization. Whether that’s ensuring all platforms are covered when communicating with candidates or ensuring your team has detailed data insights on every single candidate to ensure you select the right person. The following features make this possible: 

1. Source: Entelo’s search engine makes finding the perfect candidate for any role easy. It also offers data-driven insights to make sure your candidate selection is successful.

2. Engage: Through email, SMS messaging, and live chats, you can engage with candidates on the best platforms for them. This means you’ll never miss an opportunity from bad communication. 

3. Accelerate: Need to fill positions quickly? Entelo offers on-demand talent campaigns to boost your job openings and optimize your recruitment process to cut hiring times in half.

Pros and cons

5. Pymetrics 

Pymetrics is a talent-matching platform that uses machine learning to assess candidates’ cognitive and emotional traits. Its algorithms analyze data on candidates’ problem-solving skills, communication styles, and other factors to match them with suitable roles.

Features

The focus of this company is on soft skills. They believe that they are what drive a workforce, more so than qualifications and experience. For this reason, their features prioritize assessing and observing these skills during the hiring process, onboarding, and during an employee’s career. 

1. Employee engagement and development: Data insights provide employees with a report on their soft skills so they can find opportunities for development.

2. Talent acquisition: By scoring your applicant pool, AI can help you identify candidates who are most likely to stay for longer and perform better. 

3. Mobility and reskilling: Entelo offers personalized insights to identify the best skillset for each employee and then offers the course that suits them most. 

Pros and cons

6. Most Loved Workplace® Platform

The Most Loved Workplace® platform is a comprehensive tool that utilizes machine learning and Natural Language Processing (NLP) to analyze employee feedback and quantitative data to enhance organizational leadership and management. The platform offers various certifications, branding, and marketing opportunities based on the analysis of employee sentiments.

Key features of the platform include:

1. Machine Learning and NLP Analysis: The platform uses advanced machine learning algorithms and NLP techniques to analyze employee comments and quantitative answers. This analysis helps organizations understand employee sentiments, emotions, themes, and recommendations related to their workplace experiences.
2. Love of Workplace Index™: The platform provides extensive benchmarking and analysis of quantitative answers to the Love of Workplace Index™. This index likely serves as a metric to measure employees’ overall satisfaction and engagement in their workplace.
3. Custom Surveys: The platform offers an impressive library of custom surveys, including surveys on leader and manager effectiveness, after-action reviews, and more. These surveys likely aid organizations in gathering specific insights and feedback to improve various aspects of their workplace.
4. Certification Opportunities: The platform allows users to add additional certifications to the MLW certification family, such as certifications related to Parents and Caregivers, Women, Diversity, and Volunteering. These certification opportunities indicate a focus on promoting diversity and inclusion within the workplace.
5. Recommendations for Improvement: Based on the analysis of employee feedback and data, the platform helps organizations enhance their engagement scores, employee performance, retention, and overall satisfaction, which can lead to a more positive and productive work environment.
6. Proprietary Algorithm: The Most Loved Workplace® research team has developed a proprietary algorithm that aids in analyzing employee comments and determining various factors, including sentiment, emotions, themes, and recommendations.
   
   

Overall, the Most Loved Workplace® platform aims to empower organizations with data-driven insights to create a positive and thriving work environment. Leveraging the platform’s machine learning and NLP can help leaders and managers make informed decisions to enhance employee experiences and boost workplace satisfaction and productivity.

Features

We focus on making sure everybody loves where they work. To do this, we need to listen to the employees. Our following features help us do just that: 

1. Provide confidential surveys to all employees to gain insight into their experience.

2. By analyzing employee comments and emotional responses to questions, the platform can provide recommendations to improve employee satisfaction.

3. The platform can Identify areas of concern and help organizations proactively retain their top talent. 

Pros and cons

Conclusion

The future of HR is changing for the better. The introduction of AI means employees will be more valued and appreciated by an HR team with time to focus on them. Happier employees mean higher retention rates and a more productive and efficient workforce. What’s not to like?

Most companies we explored offer a free demo, so why not try it out and see if it’s the right fit for your department? Who knows? Integrating AI may push your company far enough to be awarded a Most Loved Workplace certificate.