The
Islamic World Educational, Scientific and Cultural Organization (
ICESCO, formerly
ISESCO) is a specialized organization that operates under the aegis of the
Organization of Islamic Cooperation (OIC), and is concerned with fields of education, science, culture and communication in Islamic countries in order to support and strengthen relations among Member States. The Organization's headquarters is located in
Rabat,
Morocco.
ICESCO was founded by the
Organisation of Islamic Cooperation (OIC) in May 1979.
[1] With 54 member states, the working languages of ICESCO are Arabic, English and French.
The United Nations Science Summit serves as a pivotal platform for global experts to share insights, innovations, and collaborations on critical scientific issues. In line with the summit's mission, a comprehensive 2-hour session dedicated to exploring how the strategic integration of artificial intelligence and data science can empower the financial sector to drive sustainable development by effectively aligning with the United Nations' Sustainable Development Goals (SDGs) is organized. This session aims to illuminate the transformative potential of artificial intelligence (AI) and data science in reshaping the landscape of business and finance while addressing emerging challenges and opportunities.
The session will consist of a dynamic panel discussion and presentations, led by experts and thought leaders from academia, industry, and governmental sectors. This diverse blend of perspectives will foster multidisciplinary dialogue and stimulate innovative ideas for harnessing AI's power in the domains of business and finance.
Topics to be Discussed:
- Sustainable Investment Strategies: Delve into how AI and data science are revolutionizing sustainable investment decisions by analyzing environmental, social, and governance (ESG) factors to promote ethical investment practices aligned with the global goals.
- Financial Inclusion and Accessibility: Explore how AI-driven data analytics can enhance financial inclusion by enabling better access to financial services for underserved populations, ultimately contributing to poverty reduction and equality.
- Climate Resilience and Risk Assessment: Discuss how AI-powered predictive analytics and risk assessment models can quantify climate risks for financial institutions and encourage the development of resilient financial systems that address climate-related SDGs.
- Ethical Use of AI in Finance: Examine the ethical considerations and guidelines in deploying AI and data science solutions in the financial sector, ensuring fair and unbiased outcomes while contributing to responsible consumption and production.
- Fraud Detection and Prevention: Highlight how AI-driven algorithms are enhancing fraud detection and prevention measures, fostering trust and accountability in financial transactions and supporting the goal of building just, peaceful, and inclusive societies.
- Impactful Philanthropy and Donor Engagement: Explore how AI-powered analytics can optimize philanthropic efforts by identifying high-impact projects and facilitating effective donor engagement to support global goals for sustainable development.
- Algorithmic Trading and Market Efficiency: Examine the role of AI in algorithmic trading and its potential to enhance market efficiency, liquidity, and stability, contributing to partnerships for sustainable development.
- Data Privacy and Security in Finance: Discuss the importance of maintaining data privacy and security in the financial sector while leveraging AI and data science for improved financial services, aligning with the goals of promoting peace, justice, and strong institutions.
- Data Collaboration for Common Good: Explore cross-sector data collaboration initiatives that leverage AI and data science to address pressing global challenges, fostering international cooperation for the achievement of sustainable development goals.
- Empowering Financial Decision-Making: Showcase AI-powered tools and data-driven insights that empower individuals, businesses, and governments to make informed financial decisions, contributing to the overarching goal of eradicating poverty and achieving prosperity for all.
Expected Outcomes:The proposed session envisions achieving multiple outcomes. Firstly, it will foster cross-sectoral collaborations and dialogues among experts, policymakers, and practitioners, fostering innovation and collaboration. Secondly, participants will gain an enriched understanding of AI's potential to reshape the finance and business sectors, while also addressing potential ethical concerns and regulatory challenges. Lastly, the session will provide a platform for sharing best practices, case studies, and real-world applications, equipping attendees with actionable insights to drive AI adoption in their respective domains.
- In-depth Exploration: The session will offer an in-depth exploration of how AI and Data Science are being harnessed to streamline operations, enhance predictive analytics, and automate tasks within the realms of Business and Finance.
- Expert Insights: Distinguished experts and thought leaders will share insights into the latest trends, challenges, and opportunities presented by the integration of AI in various facets of these sectors.
- Practical Applications: Attendees will gain insights into real-world applications of AI and Data Science in financial modeling, risk assessment, fraud detection, customer engagement, and market analysis.
- Sustainable Impact: The session will highlight how AI-powered solutions can contribute to the achievement of UN SDGs, particularly those related to economic growth, responsible consumption, and climate action.
- Networking: Attendees will have the opportunity to connect with leading professionals, researchers, and practitioners in the fields of AI, Data Science, Business, and Finance.
This session promises to offer an insightful and forward-looking exploration of the symbiotic relationship between AI, Data Science, Business, and Finance, fostering a dialogue that bridges cutting-edge technologies with the needs of sustainable economic growth and development.
In conclusion, the "AI and Data Science in Business and Finance" session at the UN Science Summit will serve as a knowledge hub for exploring the transformative role of AI in reshaping the global financial landscape. Through engaging discussions and presentations, this session will not only highlight the immense potential of AI but also emphasize its ethical implementation and collaboration for sustainable development.
