Hybrid Conferencee

International Conference on Data Science for Business Analytics and Intelligence (ICDSBAI - 26)

12th - 13th December 2026 | Naples, Italy

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Conference Notifications:

"Be sure to check this section regularly for all Research Plus International Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Naples. 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 Naples 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 Naples conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Naples, 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 Naples."
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 4
SDG 4 Quality Education
SDG 8
SDG 8 Decent Work and Economic Growth
SDG 9
SDG 9 Industry, Innovation and Infrastructure
Track 01

Advancements in Predictive Analytics

This track focuses on the latest methodologies and applications of predictive analytics in various business contexts. Participants will explore case studies that demonstrate the impact of predictive modeling on decision-making processes.

Track 02

Machine Learning Techniques for Business Intelligence

This session will delve into the integration of machine learning algorithms in business intelligence frameworks. Attendees will learn how these techniques enhance data-driven decision-making and operational efficiency.

Track 03

Big Data Analytics in Business Strategy

This track examines the role of big data analytics in shaping effective business strategies. Discussions will highlight tools and techniques that enable organizations to harness large datasets for competitive advantage.

Track 04

Artificial Intelligence in Data Science

This session will explore the intersection of artificial intelligence and data science, focusing on innovative applications that drive business success. Participants will discuss the ethical implications and future trends of AI in analytics.

Track 05

Data Mining Techniques for Knowledge Discovery

This track emphasizes the importance of data mining in uncovering hidden patterns and insights from large datasets. Researchers will present novel approaches that facilitate knowledge discovery in various industries.

Track 06

Forecasting Methods in Business Analytics

This session will cover various forecasting methods and their applications in business analytics. Attendees will gain insights into how accurate forecasting can significantly improve strategic planning and resource allocation.

Track 07

Decision Support Systems and Data Science

This track investigates the integration of data science techniques into decision support systems. Participants will discuss how these systems enhance organizational decision-making capabilities.

Track 08

Statistical Methods for Data Analysis

This session will focus on advanced statistical methods used in data analysis for business applications. Researchers will share their findings on the effectiveness of these methods in deriving actionable insights.

Track 09

Ethics and Privacy in Data Science

This track addresses the ethical considerations and privacy concerns associated with data science practices. Discussions will revolve around best practices for ensuring data integrity and compliance.

Track 10

Real-time Analytics for Business Operations

This session will explore the significance of real-time analytics in enhancing business operations. Participants will learn about tools and technologies that facilitate immediate data processing and analysis.

Track 11

Emerging Trends in Data Science Research

This track highlights the latest trends and innovations in data science research relevant to business analytics. Researchers will present cutting-edge studies that pave the way for future developments in the field.