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International Conference on Blockchain Technologies and Big Data

📅 25–26 Aug 2026 📍 Geneva, Switzerland 👤 Standard / Listener

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$279

virtual · $279 in person

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Official invitation letterIssued automatically after registration
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Certificate & digital materialsCertificate, slides and resource materials
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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 advancements in blockchain technologies that enhance big data management practices. It aims to explore how decentralized systems can improve data integrity, security, and accessibility.

This session will delve into the application of predictive analytics within decentralized computing environments. Participants will discuss methodologies and case studies that highlight the effectiveness of AI-driven blockchain solutions.

This track examines the intersection of machine learning and blockchain analytics. It will cover innovative approaches to leveraging machine learning algorithms for enhanced data insights and decision-making.

This session addresses the challenges and solutions related to data integration in blockchain ecosystems. It will highlight best practices for achieving seamless interoperability among diverse data sources.

This track focuses on the critical aspects of security and data governance in blockchain implementations. Discussions will center on frameworks and policies that ensure compliance and protection of sensitive data.

This session explores the various applications of distributed ledger technology beyond cryptocurrencies. Participants will analyze case studies that demonstrate its potential in sectors such as supply chain, finance, and healthcare.

This track highlights the role of artificial intelligence in transforming big data analytics. It will showcase cutting-edge research and applications that leverage AI to derive actionable insights from large datasets.

This session focuses on optimization techniques that enhance the performance of big data systems. Participants will discuss algorithms and frameworks that improve efficiency and scalability in data processing.

This track investigates the use of blockchain analytics to support informed decision-making processes. It will cover tools and methodologies that facilitate data-driven strategies in various industries.

This session examines the implications of decentralized computing paradigms on traditional data processing models. Discussions will focus on the benefits and challenges of adopting decentralized approaches in big data analytics.

This track explores innovative strategies for integrating blockchain technologies with big data initiatives. Participants will share insights on fostering innovation and driving competitive advantage through these technologies.