Data Science & Analytics Conferences

The aim of the Conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet the share cuttingedge development in the field.

The aim of the Conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet the share cuttingedge development in the field.

The aim of the Conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet the share cuttingedge development in the field.

The aim of the Conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet the share cuttingedge development in the field.

Data Science Conference Dubai invites data scientists, data analysts and tech professionals to join the International Conference on Artificial Intelligence and Data Science will be held on February 12-13, 2026 in Dubai, UAE.

The aim of the Conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet the share cuttingedge development in the field.

Artificial Intelligence (AI) conference in Dubai, United Arab Emirates

Methods and Techniques for Software DevelopmentBig data and Cloud ComputingDistributed Computing and Cooperative ComputingArtificial Intelligence and Intelligent ComputingSemantic Analysis and Knowledge EngineeringMachine Learning and Pattern RecognitionComputational Thinking and Education Analysis

The aim of the Conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet the share cuttingedge development in the field.

Big Data Foundations Novel Theoretical Models for Big DataNew Computational Models for Big Data Data and Information Quality for Big DataNew Data StandardsBig Data Infrastructure Cloud/Grid/Stream Computing for Big Data High Performance/Parallel Computing Platforms for Big DataAutonomic Computing and Cyber-infrastructure, System Architectures, Design and DeploymentEnergy-efficient Computing for Big DataProgramming Models and Environments for Cluster, Cloud, and Grid Computing to Support Big Data Software Techniques and Architectures in Cloud/Grid/Stream ComputingBig Data Open PlatformsNew Programming Models for Big Data beyond Hadoop/MapReduce, STORM Software Systems to Support Big Data ComputingBig Data Management Advanced database and Web Applications Novel Data Model and Databases for Emerging Hardware Data PreservationData Provenance?Interfaces to Database Systems and Analytics Software SystemsData Protection, Integrity and Privacy Standards and PoliciesInformation Integration and Heterogeneous and Multi-structured Data IntegrationData management for Mobile and Pervasive ComputingData Management in the Social Web CrowdsourcingSpatiotemporal and Stream Data ManagementScientific Data Management Workflow OptimizationDatabase Management Challenges: Architecture, Storage, User InterfacesBig Data Search and MiningSocial Web Search and MiningWeb SearchAlgorithms and Systems for Big Data SearchDistributed, and Peer-to-peer SearchBig Data Search Architectures, Scalability and EfficiencyData Acquisition, Integration, Cleaning, and Best PracticesVisualization Analytics for Big Data Computational Modeling and Data Integration Large-scale Recommendation Systems and Social Media SystemsCloud/Grid/Stream Data Mining- Big Velocity Data Link and Graph MiningSemantic-based Data Mining and Data Pre-processingMobility and Big DataMultimedia and Multi-structured Data- Big Variety DataBig Data Security & PrivacyIntrusion Detection for Gigabit Networks Anomaly and APT Detection in Very Large Scale SystemsHigh Performance Cryptography Visualizing Large Scale Security DataThreat Detection using Big Data AnalyticsPrivacy Threats of Big DataPrivacy Preserving Big Data Collection/AnalyticsHCI Challenges for Big Data Security & PrivacyUser Studies for any of the aboveSociological Aspects of Big Data PrivacyBig Data ApplicationsComplex Big Data Applications in Science, Engineering, Medicine, Healthcare, Finance, Business, Law, Education, Transportation, Retailing, TelecommunicationBig Data Analytics in Small Business Enterprises (SMEs), Big Data Analytics in Government, Public Sector and Society in General Real-life Case Studies of Value Creation through Big Data AnalyticsBig Data as a ServiceBig Data Industry StandardsExperiences with Big Data Project Deployments

Big Data Models and Algorithms Foundational Models for Big Data Algorithms and Programming Techniques for Big Data Processing Big Data Analytics and Metrics Representation Formats for Multimedia Big Data Big Data Architectures Cloud Computing Techniques for Big Data Big Data as a Service Big Data Open Platforms Big Data in Mobile and Pervasive Computing Big Data Management Big Data Persistence and Preservation Big Data Quality and Provenance Control Management Issues of Social Network Big Data Big Data Protection, Integrity and Privacy Models and Languages for Big Data Protection Privacy Preserving Big Data Analytics Big Data Encryption Security Applications of Big Data Anomaly Detection in Very Large Scale Systems Collaborative Threat Detection using Big Data Analytics Big Data Search and Mining Algorithms and Systems for Big Data Search Distributed, and Peer-to-peer Search Machine learning based on Big Data Visualization Analytics for Big Data Big Data for Enterprise, Government and Society Big Data Economics Real-life Case Studies of Value Creation through Big Data Analytics Big Data for Business Model Innovation Big Data Toolkits Big Data in Business Performance Management SME-centric Big Data Analytics Big Data for Vertical Industries (including Government, Healthcare, and Environment) Scientific Applications of Big Data Large-scale Social Media and Recommendation Systems Experiences with Big Data Project Deployments Big Data in Enterprise Management Models and Practices Big Data in Government Management Models and Practices Big Data in Smart Planet Solutions Big Data for Enterprise Transformation

The Science Leagues works with the sole intention to nurture and act as a helping hand to provide solutions to industries, communities and organizations through research and development.

The aim of the Conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet the share cuttingedge development in the field.

The aim of the Conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet the share cuttingedge development in the field.

The objective of Research Leagues to being together the greatest minds in all fields to exchange their knowledge, ideas and collaborate for great cause beneficial to human-kind.

The world academics works with an objective to provide a platform for students, research scholars and academicians from across the world to share their knowledge and experience relatable to micro disciplines.

The aim of the Conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet the share cuttingedge development in the field.

Research Plus works with the objective of bringing together great minds in the field of science, technology and engineering to exchange their knowledge and collaborate for sustainable development of technologies.

The aim of the Conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet the share cuttingedge development in the field.

The objective of Research Leagues to being together the greatest minds in all fields to exchange their knowledge, ideas and collaborate for great cause beneficial to human-kind.

The aim of the Conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet the share cuttingedge development in the field.

The aim of the Conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet the share cuttingedge development in the field.

The aim of the Conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet the share cuttingedge development in the field.

The International Conference on Sports Analytics and Coaching Decision-Making (ICSACDM) is organised by IARF and is happening on 10th February 2026 in California, USA. This event is set to provide a platform for researchers, scientists, and students to share new analytical and simulation methods, and scientific models in their fields.