Data and AI Learning Group

Why HR managers need to be ready for AI in their workplaces

By Tim Stone posted Fri July 31, 2020 03:41 PM


Artificial Intelligence integration
 into human resources practices will make businesses better because they can analyze, divine and diagnose to help HR organizations make better decisions. I am amazed by how technology is driving HR leadership.

HR Reporting Trust in AI Integration

Most HR practitioners welcome the union of AI into their HR processes. In fact, 64% of them came in the 2019 study by Oracle and Future Workplace. They would trust a robot over their administrator for advice.

Applicant Resumes on Smart Digital Forms

HR is all about combining companies with current and prospective employees on a particular level. For this to be performed on a large scale, HR activities need to be leveraging scalable AI technology.

For instance, companies traditionally need new applicants to reenter the same data over multiple moves of the new-hire journey. This repetitive, tedious task can leave them with a poor impression. To relieve some of the monotony, businesses are using AI to help applicants transfer information from their resumes onto smart digital charts and more efficiently develop their applications. For instance, AI can identify related information off a candidate’s resume, store it and automatically enter it into future forms so they aren’t forced to repeat themselves over and over continually.

As businesses make the candidate experience a preference for their recruiting actions, many have invested in AI to assist them analyze a candidate’s past work experience and benefits and match them with open roles best suited for them.

Agreement Employee Referrals

AI gives HR departments with an opportunity to enhance the candidate and employee participation by automating repeated, low value tasks and freeing up time to concentrate on the more strategic, creative work that HR organizations need and want to get done. Instead of wasting time overseeing every step of the new agent onboarding process, those actions can be intelligently automated. 

Data-Backed Support and Insights

AI gives HR professionals data-backed sources and insights gathered directly from workers. This then allows HR experts to take action and give the employee experience the workforce wants and asks for, which as a result, boosts commitment and lowers turnover. 

Employee engagement is also an art, and part of that science is holding and analyzing employee view on a day-to-day basis. AI-backed chatbots allow both the employee and HR experts to keep the engagement discussion going all year long.

Chatbots can give a natural, human-like and always-on connection tool that engages the user in personalized communications. These communications are then examined and leveraged to address the specific concerns, wants and demands of the employee. But it doesn’t end there. The progress after the conversation is just as critical as asking for feedback in the original place.

AI-backed chatbots enable HR practitioners to get sentiment so they can address possible roadblocks to take effect and prove to employees their opinions matter, which boosts combat and reduces turnover.

Supporting Learning and Development Programs

The future of learning and development activities using AI will increase remarkably over the next couple of years. These businesses will be expected to create agile and flexible learning programs that can meet the individual needs of workers. At the same time, they will use information and analytics in a more profound way to show an impact back to the company.

Learning and construction has to not only teach characters AI skills and digital ability, but also prepare employees for new roles that will surely require more human skillsets: strategic, critical thinking, analytical, cultural awareness, emotional intelligence,” she said. “To adapt to these changes, L&D departments are transitioning to agile learning principles that support the unique learning versus providing broad-based answers for the organization as a whole.

Here is a few ways in which her company is choosing a data-first mindset making the employee participation through adopting AI:

  • Content matching and suggestions based on relevancy to the individual worker needs.
  • Real-time answers to frequently asked questions via chatbots accessible to all workers to type in questions and quickly receive an automatic response.
  • Teaching chatbots available to leaders needing extra support in their roles.
  • Personalizing the training journey based on job role, being skill sets, growth plan and future goals, and proactively asking any skills gaps that exist.
  • Committing stretch assignments and cross-functional plans based on worker skill sets and projects listed across the company through social learning ways.

Leveraging Transactional Workforce Data

HR organizations can use AI to leverage transactional workforce data to predict worker potential, fatigue, flight risk and even overall action, ultimately enabling more fruitful conversations to improve the employee participation, retention and achievement.

It's now reasonable to leverage AI to build more intelligent, personalized schedules and to leverage AI to analyze time-off and shift-swap questions in real time based on proposed business rules. This allows employees, especially those with frontline/hourly jobs who must be now, to take more charge of their work/life balance. Using AI for these important but repetitive official requests also unburdens administrators, allowing them to spend more time on the floor, going with customers, and practice teams.

Powering Workforce Analytics

Businesses are turning to workforce analytics and preparation. In these workforce analytics purposes, AI and machine learning are becoming even more obvious.

AI in HR enables managers to solve puzzles and can lead to more informed choices that affect employee and organizational success. Using real-time analytics, for instance, shows administrators the impact that needs, open shifts, and unplanned inventory changes will have on key production indicators, allowing them to make more informed choices that avoid problems before they arise.

The latest improvements in machine learning and artificial intelligence are quickly reaching mainstream. This has happened in a massive, massive shift in the way people worldwide interact with technology and their companies.

The connection between humans and devices is being redefined at work, and there is no one-size-fits-all way to successfully managing this change. Alternatively, organizations require to partner with their HR team to personalize the approach to achieving AI at work in order to meet the growing expectations of their teams around the world.