AI and the Learner Journey

In an environment where attracting and retaining talent continues to be a challenge – despite indicators of economic slowdown in many regions – AI and machine learning can help improve what had been a somewhat disjointed employee experience, and push, or at least create a bridge, toward more seamless employee journeys.

Personalized Learning

Engines that incorporate AI, whether larger learning systems or niche solutions, can help create personalized learning paths, making content recommendations, predicting needs, and, at a more advanced level, pointing up and focusing on learning to address areas of weakness.

Pinpointing Learner Needs

AI can provide insight on who might need additional support and where, helping learning practitioners see where learners are struggling with content, flagging them earlier than might have happened previously, and highlighting what can be done to keep them or steer them back on the path.

Data Analytics and Insight

Data is one of the most sought-after features from learning professionals and the organizations they work for, and also one of the areas L&D feels least equipped to deliver on. We’ve had “who completed what” data for at least two decades now and we need and expect more.

AI and the Future of Content Development

How much time in an eLearning development project do instructional designers spend extracting and sourcing content? Interviewing and collaborating with already busy SMEs can be a substantial portion of the process, and the content generation stage can be one of the most time-consuming and complex phases of a digital learning development project.

Skills Identification, Management and Development

AI has exciting potential in the skills development space, where the ability of AI to infer skills, connect people to development resources, mentors and mentees and predict skills needs has the potential to transform resource and talent management.

AI Chatbots and Virtual Tutors

AI chatbots and digital tutors are evolving and continually improving, providing answers to learner questions and support, or acting as the interface to search capabilities that can point up learning or knowledge support resources, recommend learning paths, or provide learning nudges.

Leveraging AI in Corporate Learning: Time to Tee-up

The power to fast track or scale delivery of key modern learning features in turn then offers L&D some new light in the proverbial tunnel, with the promise/hope of freeing them up to focus on higher order tasks like delivering rich, learner
centric, learning focused experiences that really target performance and behavior. In other words, learning that really fulfils its purpose.