Wednesday, February 10 | 1:00 – 1:45 p.m. E.T.

Organizations recognize the urgent need to extract real and sustainable value from their workforce training programs, which requires more robust measurement of individual learning linked to organizational performance. Personalized and adaptive learning powered by machine learning is a game changer, allowing companies to assess the efficacy of their current training programs.

Manoj Kulkarni, chief executive officer of Realizeit, will discuss a framework for moving up the maturity curve of robust and continuous impact measurement. Discover fresh ideas for reimagining frontline training and measuring its impact on business performance.

This interactive session will provide easy-to-understand insights on:

  • Transitioning to personalized, knowledge-based and performance-linked learning models for all employees.
  • Utilizing technology as an enabler of learning measurement and workforce training at scale.
  • How forward-thinking enterprises are measuring impact on performance from use cases.


View full agenda.


Manoj Kulkarni, Chief Executive Officer, Realizeit
Manoj Kulkarni has held senior executive roles for more than 15 years, providing transformational leadership in high volume, high growth and global businesses in education, technology and retail sectors.

He is the former chief technology and innovation officer for Career Education Corporation, where he and his team pioneered the implementation of predictive analytics-based, personalized learning across large-scale ground and online institutions. His work at Career Education Corporation has resulted in awards and accolades from Information Week Top Innovators, Computerworld and others.

At Realizeit, Manoj leads all aspects of commercial development, growth agenda, and operations in the US and Europe.