ICDSAIT · Registering as Listener

International Conference on Data Science Applications in IT

📅 13–14 Jan 2027 📍 Sumgait, Azerbaijan 👤 Standard / Listener

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$165

virtual · $165 in person

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Supporting global researchConnect with researchers across 30+ countries

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Conference session tracks

Key research areas covered across the sessions — tap a track to read more.

This track focuses on the latest methodologies and technologies in big data analytics, emphasizing their applications in various IT domains. Researchers are encouraged to present innovative approaches that enhance data processing and interpretation.

This session explores the integration of machine learning techniques within IT frameworks, highlighting their role in improving system performance and decision-making. Contributions that demonstrate practical applications and case studies are particularly welcome.

This track examines the use of predictive analytics to optimize IT infrastructure management and resource allocation. Papers should focus on methodologies that enhance reliability and performance through data-driven insights.

This session addresses the critical role of data mining in enhancing cybersecurity measures within IT environments. Contributions should focus on innovative techniques that detect, prevent, and respond to security threats.

This track highlights recent advancements in cloud computing technologies and their implications for IT service delivery. Researchers are invited to discuss new models, architectures, and applications that leverage cloud capabilities.

This session focuses on the importance of data visualization in facilitating informed decision-making within IT. Papers should explore novel visualization techniques that enhance data comprehension and usability.

This track investigates the integration of artificial intelligence into IT services, aiming to improve efficiency and user experience. Submissions should present case studies or frameworks that demonstrate successful AI implementation.

This session delves into strategies for effective network management and optimization using advanced data science techniques. Contributions should address challenges and solutions related to network performance and reliability.

This track focuses on methodologies for optimizing software performance through data-driven approaches. Researchers are encouraged to share insights on tools and techniques that enhance software efficiency and reliability.

This session explores the intersection of IT governance and process automation, emphasizing frameworks that ensure compliance and efficiency. Papers should discuss innovative practices that enhance governance through automation.

This track examines effective data management strategies that support IT operations and decision-making. Contributions should highlight best practices and emerging trends in data governance and stewardship.