Jafar Shayan
CEO
Sustainova Tech
Dr. Jafar leverages over 20 years of international experience in software engineering and AI, including significant expertise within the energy sector. Holding a PhD in Computer Science and a Master's in IT Management, he is committed to applying AI to advance sustainability. His contributions extend to academia through research publications and service on conference technical committees, reflecting his dedication to advancing both industry practice and the body of knowledge.
Participates in
TECHNICAL PROGRAMME | Energy Leadership
Human Capital - Attracting, Training and Retaining
Forum 30 | Digital Poster Plaza 5
30
April
10:00
12:00
UTC+3
The energy sector confronts an era defined by the accelerated pace of change, demanding unprecedented workforce adaptability to navigate digitalization, decarbonization, and technological evolution. This dynamic environment necessitates a fundamental shift towards continuous learning, unlearning, and relearning across all organizational levels, rendering traditional training methods insufficient. Addressing the resultant competency gaps requires innovative solutions that augment human capabilities and embed learning into the daily workflow. To meet this challenge, we propose an AI-driven ecosystem designed to cultivate this perpetual learning culture, significantly enhancing how the industry attracts, develops, and retains talent.
Central to this ecosystem is the deployment of a dedicated AI Learning Companion Agent for each employee. Available 24/7, this intelligent agent acts as a personalized tutor, mentor, and support system. It leverages sophisticated AI to understand individual learning styles, career goals, current skill levels, and role-specific requirements. Based on this deep personalization, the AI Companion curates unique learning pathways, suggests relevant micro-learning modules, identifies knowledge gaps, and provides contextual reinforcement. Its constant availability ensures learning is integrated seamlessly into the workflow, accessible precisely when needed.
The AI Companion significantly accelerates the learning process and enhances its effectiveness. By tailoring content delivery methods, offering immediate feedback, and facilitating practical application through integrated tools like simulations, VR/AR modules, and gamified challenges, it ensures faster skill acquisition and deeper understanding. This personalized, always-on support mechanism transforms learning from a periodic event into an ongoing, integrated aspect of work. The efficacy of such AI-driven personalized approaches in boosting engagement and competency development is increasingly validated by educational research.
The overall ecosystem provides a holistic framework addressing critical skills ranging from digital fluency and data analytics to specialized expertise in emerging renewable and AI technologies within the energy context. By deploying this comprehensive, AI-personalized system featuring the dedicated Learning Companion, energy organizations can demonstrably invest in their people, significantly improve talent retention, enhance workforce readiness for future challenges, and ultimately position themselves more competitively to attract new talent and successfully navigate the complexities of the accelerated energy transition.
Co-author/s:
Jalal Shayan, Head of HSE and Crisis Management Training, National Iranian Oil Company.
Central to this ecosystem is the deployment of a dedicated AI Learning Companion Agent for each employee. Available 24/7, this intelligent agent acts as a personalized tutor, mentor, and support system. It leverages sophisticated AI to understand individual learning styles, career goals, current skill levels, and role-specific requirements. Based on this deep personalization, the AI Companion curates unique learning pathways, suggests relevant micro-learning modules, identifies knowledge gaps, and provides contextual reinforcement. Its constant availability ensures learning is integrated seamlessly into the workflow, accessible precisely when needed.
The AI Companion significantly accelerates the learning process and enhances its effectiveness. By tailoring content delivery methods, offering immediate feedback, and facilitating practical application through integrated tools like simulations, VR/AR modules, and gamified challenges, it ensures faster skill acquisition and deeper understanding. This personalized, always-on support mechanism transforms learning from a periodic event into an ongoing, integrated aspect of work. The efficacy of such AI-driven personalized approaches in boosting engagement and competency development is increasingly validated by educational research.
The overall ecosystem provides a holistic framework addressing critical skills ranging from digital fluency and data analytics to specialized expertise in emerging renewable and AI technologies within the energy context. By deploying this comprehensive, AI-personalized system featuring the dedicated Learning Companion, energy organizations can demonstrably invest in their people, significantly improve talent retention, enhance workforce readiness for future challenges, and ultimately position themselves more competitively to attract new talent and successfully navigate the complexities of the accelerated energy transition.
Co-author/s:
Jalal Shayan, Head of HSE and Crisis Management Training, National Iranian Oil Company.
