International Conference on Business Applications of Machine Learning - (ICBAML-26)


22nd - 23rd December, 2026 | Oakville, Canada

Multi-format (In-person/Virtual)

Registration Options

Explore conference registration categories designed for every mode of participation.

Important Dates

Pre-registration Deadline

22nd November, 2026

Paper Submission Deadline

27th November, 2026

Last Date Of Registration

7th December, 2026

Date Of Conference

22nd - 23rd December, 2026

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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 3 SDG 3 — Good Health and Well-being
SDG 8 SDG 8 — Decent Work and Economic Growth
SDG 9 SDG 9 — Industry, Innovation and Infrastructure
SDG 11 SDG 11 — Sustainable Cities and Communities
SDG 12 SDG 12 — Responsible Consumption and Production
SDG 17 SDG 17 — Partnerships for the Goals
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All Session Tracks

Track 01
Machine Learning Innovations in Business Strategy

This track focuses on the integration of machine learning techniques into business strategy formulation and execution. Participants will explore case studies and methodologies that demonstrate the transformative impact of machine learning on strategic decision-making.

Track 02
Data Analytics for Enhanced Business Performance

This session will delve into the role of data analytics in driving business performance and operational efficiency. Attendees will discuss tools and frameworks that leverage data insights to inform management practices and improve outcomes.

Track 03
Artificial Intelligence in Supply Chain Management

This track examines the application of artificial intelligence and machine learning in optimizing supply chain processes. Discussions will include predictive analytics, inventory management, and logistics enhancements through AI-driven solutions.

Track 04
Big Data and Consumer Behavior Analysis

Focusing on the intersection of big data and consumer insights, this session will explore how machine learning can analyze vast datasets to understand consumer behavior patterns. Participants will share innovative approaches to harnessing data for targeted marketing and customer engagement.

Track 05
Machine Learning in Financial Services

This track will cover the transformative effects of machine learning in the financial sector, including risk assessment, fraud detection, and algorithmic trading. Experts will present case studies showcasing successful implementations and future trends.

Track 06
Business Applications of Image Detection and Object Classification

This session will explore the use of machine learning in image detection and object classification for various business applications. Participants will discuss advancements in computer vision technology and its implications for industries such as retail and healthcare.

Track 07
Automated Translation and Global Business Communication

This track focuses on the role of machine learning in automated translation services and its impact on global business communication. Discussions will highlight the challenges and opportunities presented by AI-driven language processing technologies.

Track 08
Machine Learning Products and Services Development

This session will explore the lifecycle of developing machine learning products and services tailored for business needs. Participants will discuss best practices, challenges, and innovations in creating effective machine learning solutions.

Track 09
Machine Learning in Healthcare Management

This track examines the application of machine learning in healthcare management, focusing on predictive analytics and patient care optimization. Experts will share insights on how AI technologies are reshaping healthcare delivery and operational efficiency.

Track 10
Self-Driving Cars and the Future of Transportation

This session will explore the implications of self-driving car technologies on business models and urban planning. Participants will discuss the intersection of machine learning, transportation, and economic impacts in this rapidly evolving field.

Track 11
Machine Learning in Business Networks and Collaboration

This track focuses on how machine learning can enhance collaboration and networking among businesses. Discussions will include the role of AI in fostering partnerships, improving communication, and driving innovation in business ecosystems.