The objectives of the conference revolve around the :

  • Latest advancements in AI and data processing technologies to improve business operations and decision-making.
  • Economic, social, and ethical impacts of AI and digital innovation on businesses, consumers, and society at large.
  • Innovative business models based on AI and data, such as personalization, recommendation, and prediction.
  • Data-driven marketing and sales strategies to enhance customer experience and drive sales growth.
  • Challenges of data management and privacy in an increasingly complex digital world, and solutions to address them.
  • Implications of the convergence of AI, robotics, and the Internet of Things (IoT) for businesses and society as a whole.
  • Opportunities and challenges associated with adopting AI and digital innovation in various sectors such as finance, healthcare, logistics, and manufacturing.
  • Skills needed to develop and manage an effective AI and data strategy, including recruitment, training, and company culture.
  • University-business collaboration strategies to foster innovation in the field of artificial intelligence and digital transformation, as well as training and certification programs to develop necessary skills.

As resilience is a cross-cutting concept, we propose a non-exhaustive list of research areas focusing on resilience in the following domains:

  • Natural Language Processing
  • Chatbots and Natural Language
  • Image Recognition
  • Recommendation Systems
  • Data Visualization
  • AI Project Management
  • Deep Learning
  • Data Security
  • Data Classification
  • Financial Risk Prediction
  • Machine Learning for Decision Making
  • Fractional calculus & fractional derivative
  • Customer Satisfaction Measurement
  • Impact of AI on Competition
  • AI for Supply Chain Management
  • Predictive Analytics for Business
  • Digital Marketing Strategies
  • Digital Transformation
  • Sentiment Analysis
  • Big Data and Data Ethics
  • Social Network Analysis
  • Data Classification
  • Financial Risk Prediction
  • Bioinformatics for Production Improvement
  • Modeling Complex Systems
  • Fuzzy Sets and Systems,

This list is not exhaustive; other research areas may be suggested.