International Conference on Edge Computing and Intelligent Data Analytics (ICECIDA - 26)

This track focuses on the latest advancements in edge computing technologies and their applications in various business contexts. Researchers are invited to explore how edge computing can enhance operational efficiency and decision-making processes.

This session will delve into methodologies and technologies for real-time data processing in business environments. Papers should highlight case studies demonstrating the influence of real-time analytics on strategic decision-making.

This track aims to showcase innovative machine learning techniques that enhance predictive modeling in business analytics. Contributions should focus on practical applications and the impact of these techniques on business outcomes.

This session will explore the challenges and solutions associated with distributed analytics in handling big data. Researchers are encouraged to present frameworks that facilitate efficient data processing across distributed systems.

This track examines the integration of cloud computing with edge technologies to optimize data analytics processes. Papers should discuss the benefits and challenges of such integrations in business scenarios.

This session addresses the critical issue of data security within the realm of intelligent data analytics. Contributions should focus on innovative strategies to safeguard sensitive information while leveraging analytics for business insights.

This track investigates the role of high-performance computing in accelerating data analytics processes. Researchers are invited to present studies that highlight performance improvements and their implications for business intelligence.

This session will focus on the application of artificial intelligence in business analytics, exploring how AI can transform data interpretation and decision-making. Papers should provide insights into successful AI implementations in various industries.

This track explores the utilization of sensor data analytics in the development of smart systems across different sectors. Contributions should discuss methodologies for extracting actionable insights from sensor data.

This session addresses the importance of data governance and compliance in the context of analytics platforms. Researchers are encouraged to explore frameworks that ensure ethical data usage and regulatory adherence.

This track focuses on network optimization strategies that enhance the performance of IoT analytics. Papers should present innovative approaches to improve data transmission and processing efficiency in IoT environments.