Hybrid Conferencee

International Conference on Artificial Intelligence in Business Decision-Making (ICAIBDM - 26)

21st - 22nd December 2026 | Giza, Egypt

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Conference Notifications:

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Giza. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Giza event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Giza conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Giza, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Giza."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 8
SDG 8 Decent Work and Economic Growth
SDG 9
SDG 9 Industry, Innovation and Infrastructure
SDG 12
SDG 12 Responsible Consumption and Production
Track 01

AI-Driven Data Analytics in Business

This track explores the integration of artificial intelligence in data analytics to enhance business decision-making processes. It focuses on methodologies and case studies that demonstrate the impact of AI on data interpretation and actionable insights.

Track 02

Machine Learning Applications in Marketing

This session highlights the use of machine learning techniques in marketing strategies to optimize customer engagement and retention. Participants will discuss innovative approaches to leveraging data for predictive marketing outcomes.

Track 03

Predictive Modeling for Business Strategy

This track delves into the development and application of predictive models that inform strategic business decisions. It emphasizes the role of statistical techniques and AI in forecasting market trends and consumer behavior.

Track 04

Data-Driven Decision Support Systems

This session focuses on the design and implementation of decision support systems that utilize data analytics and AI to facilitate informed business choices. Discussions will center on system architecture, user interface design, and case studies of successful deployments.

Track 05

Optimization Algorithms in Operational Efficiency

This track examines the application of optimization algorithms to enhance operational efficiency within organizations. Participants will share insights on algorithmic strategies that streamline processes and reduce costs.

Track 06

Cognitive Computing in Management Practices

This session investigates the role of cognitive computing in transforming management practices through enhanced data processing capabilities. It will cover applications that improve decision-making and strategic planning.

Track 07

Automation and Its Impact on Business Operations

This track explores the implications of automation technologies on business operations and decision-making. It will highlight case studies that illustrate the benefits and challenges of implementing automation in various sectors.

Track 08

Market Forecasting Using AI Techniques

This session focuses on the methodologies employed in market forecasting through artificial intelligence and machine learning. Participants will discuss the accuracy and reliability of AI-driven forecasts in dynamic market environments.

Track 09

Risk Assessment Models in Business

This track addresses the development and application of risk assessment models that incorporate AI and data analytics. It aims to provide insights into how businesses can better identify, evaluate, and mitigate risks.

Track 10

Business Intelligence and Analytics Strategies

This session highlights the strategic importance of business intelligence and analytics in driving competitive advantage. Discussions will focus on tools, frameworks, and best practices for effective data utilization.

Track 11

AI Ethics and Governance in Business Decision-Making

This track examines the ethical considerations and governance frameworks surrounding the use of AI in business decision-making. It aims to foster discussions on responsible AI practices and the implications for stakeholders.