3
min read

How Can AI Help Organizations Realize Better Learning and Development (L&D) Outcomes

AI in learning and development (L&D) can provide a powerful solution to bridge the skills gap.

How Can AI Help Organizations Realize Better Learning and Development (L&D) Outcomes

AI in learning and development (L&D) can provide a powerful solution to bridge the skills gap. In this article we explore how.

With the global employment market undergoing a massive transformation, upskilling and reskilling have taken the center stage for organizations and talent leaders. Organizations that hope to succeed through these transitions will need to rethink their approach to hiring and employee development. 

The International Labor Organization (ILO) predicts that “the  projected  employment growth  will  be  insufficient  to  close  the  gaps opened up by the crisis.” This means that some of the jobs lost during the pandemic may not return

For employers, shifting to a skills-based talent model has become imperative. However, our understanding of skills and capabilities need to evolve as we look to navigate this environment. For instance, what many employers don’t realize is that the skills their employees have for a particular job can be applied to other roles as well. Take the F&B industry for instance. Servers who lost their jobs due to the pandemic have 71% overlap in skills required for customer service. 

Had hiring managers for customer service roles known this, we could have seen a significant number of career transitions based on skills. Similarly, as revenge travel picks up, customer service in the F&B and hospitality sectors has become even more important. 

Developing talent and hiring employees based on their skillsets instead of their prior experience and credentials will enable employers to realize better talent outcomes. It also makes their existing talent tools more diverse and effective. 

Here’s where artificial intelligence and machine learning promise to deliver a lasting impact. 

AI and Talent Development: A Match Made in Data-Driven Heaven?

Historically, learning and development focused on metrics like learning credentials and course completion instead of desired learning outcomes (skills, knowledge, and desired behaviors). 

Traditional, one-size-fits-all approach to learning content and delivery is no longer effective. Employees bring unique skills and capabilities that need to be honed to prepare for future skills. 

By applying AI across the employee journey, organizations and L&D leaders can identify employees’ unique learning needs and potential skills match. AI allows organizations to transform their learning experience from generic to individualized. 

Before we dive into the how here’s a quick look at the hallmarks of AI-driven learning experiences:

  • Interactive: The AI-based learning approach combines data, technology, content, and culture to deliver collaborative and more engaging experiences.
  • A Diverse Content Mix: AI can tap into multiple content sources such as internal, user-generated, and externally purchased content to create a dynamic learning environment. 
  • Adaptive: By leveraging multiple data points specific to employees, AI delivers an adaptive learning experience that’s on-demand, real-time, and accommodates flexible learning styles. 

Decoding Data-Driven Learning Experiences and AI

Over the past few years, we’ve witnessed the platform-ification of L&D solutions. Most AI-based solutions resemble consumer content streaming platforms like Netflix and Amazon Prime that offer recommendations based on employee skills profile and past content consumed. This is achieved through the underlying machine learning (ML) algorithms powering the L&D software. 

Artificial intelligence takes this a step forward by analyzing employees’ digital body language that typically includes engagement data points like course progression, interaction, likes, dislikes, and collaboration. By tapping into these data sources and more (employee experience touchpoints), AI-based learning platforms can make predictions on course content, the interface, and instructors’ effectiveness to deliver better learning outcomes.     

As user (employee) data collection reaches critical mass, organizations can glean meaningful insights to tweak or modify their approach to L&D. For instance, employers may find that gamification, social learning and mobile learning deliver the best outcomes. They can then recalibrate their content and delivery to meet these goals.

AI adds much-needed modularity to learning content to support talent development goals. It also supports analytics that help employers understand how close they are to bridge their skills gaps. 

Designing Learning Experiences for the Future

AI is undoubtedly the most valuable technology at organizations’ disposal to address current and future skills needs. However, like the learning approach itself, AI solutions require thoughtful implementation to achieve the intended outcomes. 

In the learning context, this means partnering with a solution provider that not only offers robust technological capabilities but also understands the underlying behaviors and needs that drive employees’ learning appetite.

Solutions that can bridge the gap between science and practice are critical to winning in the skills economy. Yobs combines the power of AI and Data Science with I/O psychology to design solutions that can help organizations create immersive AI-led talent development experiences that address skills gaps.

Speak to us to operationalize your AI-based talent strategy.