The conference aims to provide an excellent international platform for researchers, data scientists, business managers, and industry practitioners to meet and exchange their ideas and novel approaches to the technical challenges of a data driven world. 

It provides a premier interdisciplinary forum for sharing knowledge and discussing the most recent innovations, trends, and practical challenges encountered and solutions in the wide fields of big data and data analytics emerging in all business and industrial sectors using AI, IoT, FinTech and security best practices.

Integrating sophisticated business analytics into the internal operational processes for marketing, sales, management, designing strategies, etc. can play a powerful role in developing any business sector through increasing its efficiency, supporting its decision-making under uncertainty, and improving its business operations, in today’s competitive market. 

The main goal is to encourage sustained economic growth through data technology.

ICDTISD 2026 focuses on actionable outcomes. Each objective below guides the program, sessions and expected deliverables.

1. Promote understanding of AI, digital transformation, IoT and cybersecurity and their direct role in improving services and business operations. Targeted sessions will explain practical adoption paths for universities, public institutions and firms.
2. Provide a platform where researchers, engineers, entrepreneurs and decision-makers exchange knowledge and translate theory into real-world case studies and pilots.
3. Foster lasting collaborations between the university, the academy, private sector and professional bodies (including IEEE) to develop digital skills, training programs and joint projects.
4. Identify technical and organizational challenges—privacy, security, reliability, governance, cost and scalability—and propose pragmatic solutions suited for fragile environments.
5. Highlight standards and best practices in information security, system reliability, data quality, ethics and Responsible AI across sessions and tutorials.
6. Encourage applied research and innovation in AI, FinTech, Analytics and IoT aimed at measurable economic, social and environmental impact.
7. Explore how emerging technologies can transform public and private services, enhance financial inclusion and expand access to digital services for underserved communities.