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AIDSBA-2026

The International Conference on AI-Driven Data Science and Business Analytics offers a premier forum for researchers, industry experts, policymakers, and academic leaders to engage in meaningful dialogue on the evolving role of artificial intelligence and data science in transforming business decision-making and analytical capabilities. This interdisciplinary conference emphasizes the convergence of AI technologies with data-driven methodologies to address real-world business challenges and unlock new opportunities across sectors. Focusing on both foundational advancements and applied innovations, the conference explores how AI spanning machine learning, deep learning, neural networks, and intelligent computing combined with big data analytics, predictive modeling, and decision support systems, is reshaping the business landscape. Key discussions include the integration of data science in core functions such as marketing optimization, financial forecasting, operations research, supply chain analytics, customer intelligence, and risk management.

The conference also highlights emerging trends in data visualization, business intelligence tools, IoT analytics, cloud-based data ecosystems, and Industry 4.0 technologies. Special sessions delve into ethical AI deployment, data security, algorithmic transparency, and responsible analytics, recognizing the importance of balancing innovation with accountability in a digital-first economy. By bringing together diverse perspectives, the event fosters cross-disciplinary knowledge exchange and promotes collaboration between academia, industry, and government. Through a blend of keynote speeches, technical sessions, expert panels, workshops, and case presentations, participants gain exposure to practical frameworks, ground-breaking research, and innovative applications that are shaping the future of business analytics.

Ultimately, the International Conference on AI-Driven Data Science and Business Analytics seeks to empower organizations and individuals to harness the full potential of AI and analytics for sustainable business value, competitive advantage, and inclusive economic growth in an increasingly data-centric world.

Call For Paper
Important Date

Paper Submission Date:

10th January, 2026

Final Submission Date:

15th March, 2026

Notification of Acceptance/Rejection:

15th April, 2026

Final Version with Copy Right:

30th May, 2026

Last Date of Registration:

20th June, 2026

Date of Conference:

13th-14th July, 2026

Paper Publication

Proceeding: All papers, both invited and contributed, will be subjected to double blind review by at least 2 experts from the committees. After a careful reviewing process before the final decision and after a detailed presentation at the conference, all the accepted papers will be published in a proceeding, by a reputed publisher.

lmu

Our Collaborater

Conference Chair