This conference aims to create a platform where academia and industry stakeholders can exchange knowledge, share insights, and collaborate on advancing AI research and applications in the business domain. It fosters a comprehensive understanding of the challenges and opportunities that arise at the intersection of academic inquiry and practical implementation.
Through these aims, the conference aims to create a dynamic and inclusive environment that promotes collaboration, innovation, and knowledge exchange, ultimately contributing to the advancement of AI applications in the business domain.

Objectives

1. Facilitate Collaboration: Provide a collaborative platform for academia and industry professionals to share insights, research findings, and experiences in the realm of AI for business.
2.Advance AI Research: Foster the advancement of academic research in AI with a focus on its practical applications and impact on transformative business practices.
3.Promote Knowledge Exchange: Encourage the exchange of knowledge, ideas, and best practices between researchers, educators, and industry leaders to drive innovation in AI for business.
4.Address Real-World Challenges: Facilitate discussions and presentations that directly address real-world challenges faced by businesses in implementing AI solutions, promoting actionable and applicable research.
5.Bridge the Gap: Bridge the gap between academic theories and industry requirements by emphasizing the importance of collaborative efforts in developing AI solutions that are both theoretically sound and practically effective.
Objectives:
6.Showcase Applied Research: Provide a platform for researchers to showcase applied AI research that directly addresses industry challenges, presenting tangible solutions and practical implementations.
7.Encourage Interdisciplinary Perspectives: Encourage interdisciplinary collaborations by exploring how AI converges with other fields to create innovative and holistic solutions for business transformation.
8.Promote Responsible AI Practices: Highlight the ethical considerations and responsible practices in AI applications for businesses, emphasizing transparency, fairness, and accountability.
9.Facilitate Networking: Create opportunities for networking and collaboration among conference participants, fostering relationships that can lead to joint research projects and industry-academic partnerships.
10.Share Success Stories: Showcase success stories and case studies of AI implementation in various industry sectors, demonstrating the positive impact and lessons learned.
11.Explore Emerging Trends: Explore emerging trends and future prospects in AI, providing insights into the technologies and methodologies that will shape the future of business applications.
12.Enhance Education and Skills: Address the evolving educational needs in AI and business by discussing curriculum development, skill requirements, and the role of academia in preparing the workforce for the AI-driven future.
13.Promote Entrepreneurship: Highlight the role of startups and entrepreneurial ventures in driving AI innovation and transforming traditional business models.
14.Discuss Policy Implications: Engage in discussions on AI policy and regulation, examining the evolving landscape and its impact on shaping responsible AI practices in business.
15.Provide a Platform for Startups: Offer a platform for AI startups to showcase their innovations, connect with potential collaborators, and contribute to the overall ecosystem of AI for business.