Rapid technological advancements and the integration of artificial intelligence (AI) are transforming the job market, leading to a critical skills gap in industries. This has prompted businesses to reevaluate the traditional path from education to employment. As a result, machine learning tools are increasingly being used to optimize operations, with significant implications for workforce development.
On the latest episode of DisruptED, host Ron J Stefanski sits down with Kayvon Touran, CEO and Co-founder of Zal.ai, to discuss how AI is shaping workforce development and how companies are approaching learning and development (L&D). They explore how AI enhances the measurement and verification of skills development, the challenges companies face in aligning organizational goals with individual career aspirations, and the future of AI-driven platforms in transforming traditional L&D into more dynamic and personalized career development tools.
Kayvon Touran is a serial entrepreneur with a background in educational technology who co-founded Zal.ai with Stephen M. Kosslyn, President of Active Learning Sciences, and Joseph Rousseau, CIO of the Epic Education Foundation. Before Zal.ai, Touran played a key role in scaling Noodle, demonstrating his ability to merge technology with user-centric solutions. Zal.ai focuses on using AI to create a clear and engaging method for employees to track and advance their career skills.
This episode provides valuable insights into how businesses can effectively align AI with their strategic goals while also supporting their employees’ career development. With increasing use of AI in workforce development, companies are able to optimize their operations while creating more personalized learning opportunities for their employees.
In conclusion, rapid technological advancements and integration of artificial intelligence have transformed the job market leading to critical skills gap in industries which has prompted reevaluation of traditional path from education to employment. Businesses are increasingly turning to machine learning tools such as Zal.ai’s platform which offers more dynamic and personalized career development tools that enhance measurement and verification of skills development while facing challenges like aligning organizational goals with individual career aspirations.
The future looks promising for AI-driven platforms that will transform traditional L&D into more effective means of supporting employee’s career growth as they provide clear method for employees track skill progression towards their desired careers paths.
