214 Make Training Personalized and Adaptive to Get True Value
11:00 AM - 12:00 PM ET
Monday, November 7
Training today’s workforce, particularly those in remote, front-line, and customer-facing roles, could benefit from a reboot. From disjointed experiences that disengage learners, to wasting time training employees on what they already know, to wondering if employees are actually ready to perform in their roles, training continues to pose universal challenges. Legacy training solutions don’t offer much help to training leaders who are looking for new ways to provide personalized digital experiences to their learners that break from the one-size-fits-all tradition of the LMS.
It is time to reimagine the traditional job-training approaches and deliver a personalized experience that maximizes each person’s return on training time invested. With the advent of personalized and adaptive learning technology powered by AI and analytics, training can be made dramatically more efficient, effective, engaging, and relevant to each learner. From onboarding to ongoing learning moments, employees can now experience individualized training journeys that tailor precisely to them. Personalized, adaptive learning technology can provide a new way to structure and map learning journeys. Bringing existing training content into a new learning model powered by AI can accelerate training times, raise skill levels, increase confidence in job readiness, and improve engagement.
In this session, you will learn:
- Ways to maximize the return on training time invested and the role of adaptive learning technology to make this feasible
- Keys to training employees for high-stakes roles where competency and precision are vital
- What is required to develop personalized, adaptive training
- Customer stories leveraging personalized, adaptive learning, from onboarding to on-the-job-training, to cross training and ongoing knowledge maintenance

Manoj Kulkarni
CEO
Realizeit
Manoj Kulkarni leads all aspects of Realizeit’s commercial development and operations globally. Manoj has a long tenure as a senior executive providing transformational leadership in high volume, global businesses in the education, technology and retail sectors. Prior to Realizeit, Manoj was the chief technology and innovation officer for Career Education Corporation, where he pioneered the implementation of AI-based personalized learning across large-scale ground and online institutions powered by Realizeit’s technology. His work there resulted in numerous awards and accolades for EdTech innovation from Industry Analysts.