**Introduction to the Conference**

Artificial Intelligence (AI) and Data Science are topics that have become highly significant and prominent in recent decades in scientific and industrial communities. These two domains play a crucial role in technological development, scientific research, and practical applications. Organizing an international conference on AI and Data Science allows us to stay informed about the latest advancements and research in these fields and share our experiences.

AI, as one of the most impactful and rapidly advancing scientific and technological domains today, is undergoing rapid transformation. Starting as a scientific concept, it has evolved into a technical reality, offering unparalleled features to the modern world. The importance of AI in reshaping societies and industries is not only vital but has also created ample opportunities for the development and improvement of human life. From the introduction of Turing machines and the principles of AI development to the advancement of modern machine learning techniques and deep neural networks, AI has progressed step by step, acquiring new capabilities.

AI, as a key tool, plays a fundamental role in economic and technological transformations. Its applications range from healthcare, automotive, finance, and marketing to the development of smart cities and improving human living conditions, creating numerous opportunities. Data Science, or "dataology," is recognized as one of the most productive and essential fields in science and technology today. This science, based on data and information analysis, offers extensive capabilities to the modern world and holds significant importance.

Data Science has experienced significant transformations in recent decades, from traditional methods such as statistics to more advanced techniques like machine learning and neural networks. Data Science has broad applications in various industries, enhancing efficiency and productivity in various activities. The impact of Data Science on global societies and the world economy is unparalleled, bringing about significant changes in the modern world.

The connection between Data Science and Artificial Intelligence is a key point in the world of science and technology. These two domains are interdependent and have extensive interactions. Data is the information that AI requires for learning and decision-making. AI, based on its algorithms and models, utilizes data for analyzing patterns, predictions, decision-making, and performing various tasks. Therefore, data acts as the fundamental fuel for AI. Data Science involves examining and analyzing data using various methods and techniques. This data analysis helps develop AI models and machine learning algorithms. Typically, Data Science organizes large datasets to utilize them for prediction and decision-making in AI.

In summary, Data Science and AI mutually benefit from each other and continuously interact. AI relies on data to perform AI tasks, and Data Science analyzes data to improve AI learning and decision-making. This powerful combination of two critical domains will help advance advanced technologies and solve complex problems in today's societies.

Given the aforementioned topics, the reasons for the importance of holding a conference on AI and Data Science can be highlighted:

1. **Knowledge and Experience Sharing:** The AI and Data Science conference is an ideal venue for researchers, scientists, and industries to share their research results and experiences. In particular, the presence of active industries in the province can be highly effective in identifying their needs and sharing experiences.

2. **Networking:** The conference contributes to the participation and interaction between individuals and various groups in similar fields. These connections can lead to new collaborations, joint projects, and even the production of technological products in the province.

3. **Introduction of New Technologies:** In the AI and Data Science conference, efforts are made to introduce new technologies and advanced innovations by inviting prominent professors and leading industry figures in this field. This allows industries and researchers to understand the latest advancements and benefit from them.

4. **Addressing Challenges and Industry Needs:** AI and Data Science always aim to solve new challenges and issues. The conference is a suitable place to discuss current challenges and possible solutions to advance knowledge in these areas.