OBJECTIVES
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,