## 2 Literature Review and Hypothesis Development
### The Relationship Between Digitalization and the SDGs
The integration of AI, BD, and CC into these systems enables governments and organizations to continuously and adaptively monitor the impact of poverty reduction policies and programs, optimizing them for the best possible outcomes [10]. Integrating technologies into sustainable development strategies can significantly reduce poverty and improve the quality of life for millions affected by this issue. Goal 2: Zero Hunger (SDG 2). Digital technologies provide innovative and efficient solutions for achieving SDG 2, contributing to the eradication of hunger and promoting sustainable agriculture. These technologies enhance traditional farming methods by introducing precision agriculture practices [22], analyzing climate and soil data to predict weather conditions and plan crop cycles, thus reducing the risks associated with climate change. They also facilitate the development of personalized food programs tailored to the specific nutritional needs of vulnerable communities [23]. Digital technologies can be used in food supply chains to optimize resource distribution and minimize losses [24]. AI models can predict food demand and adjust production and distribution accordingly, ensuring that food reaches needy people. Goal 3: Good Health and Wellbeing (SDG 3). CC and IoT-based technologies and BD-driven AI models monitor human health data. These technologies enable the provision of appropriate care and the prediction of disease risks. Mobile health applications (mHealth) play a significant role by facilitating access to medical information and the continuous health monitoring of individuals. These applications allow for the real-time measurement of vital parameters, enabling prompt intervention when anomalies are detected. For instance, mHealth applications can send automatic alerts to physicians or health centers when complications are detected, ensuring rapid and efficient interventions [25]. Data collected through sensors and mHealth applications within cloud environments are essential for creating predictive models that anticipate health problems and recommend preventive measures. These technologies improve resource management and the optimal distribution of health services, reducing inequalities in access to quality medical care [26]. Goal 4: Quality Education (SDG 4). The integration of digital technologies can ensure quality education globally. AI and BD-based technologies can monitor student progress in real time, providing continuous feedback to students and teachers [27]. These innovative technologies augment the learning process's efficiency and facilitate swift interventions when students encounter obstacles in their educational journey. Furthermore, these technological advancements can analyze learning trends and patterns on a macro scale, thereby contributing valuable insights toward enhancing curricula and formulating more effective educational policies [28]. Goal 5: Gender Equality (SDG 5). Digital technologies are essential in promoting gender equality and achieving SDG 5 objectives. By monitoring discrimination, eliminating biases, and empowering economically, these technologies help to build a more equitable and inclusive society where women can reach their full potential [29]. Implementing these technologies not only supports SDG 5 but also positively impacts interconnected areas such as education, health, and community development. Goal 6: Clean Water and Sanitation (SDG 6). Monitoring progress towards SDG 6 is complex and costly; advanced technologies and global cooperation can play a decisive role in ensuring universal access to safe drinking water and adequate sanitation services, improving public health and the quality of life worldwide [30]. The integration of digital technologies can facilitate more efficient monitoring of these services, allowing for automatic data collection and the rapid analysis of relevant data [31]. Goal 7: Affordable and Clean Energy (SDG 7). Advanced digital technologies are essential for identifying and addressing global energy access issues and energy poverty [32].