This conference delves into the transition from fragmented data silos to integrated data fabric architectures that unify analytics platforms for large-scale, real-time decision-making. It covers how data fabrics break down barriers by providing seamless connectivity across diverse data sources, leveraging AI and machine learning for automated data governance, quality control, and enhanced accessibility. The event showcases strategies to design scalable, flexible data architectures that accelerate business intelligence and operational insights.
Structure and Sessions (Who Does What):
Organizing Committee: Plans the agenda, selects speakers, and manages virtual event operations.
Keynote Speakers: Data architecture leaders, AI specialists, and BI experts present foundational concepts and innovations.
Session Chairs: Moderate sessions, lead Q&A, and encourage participant interaction.
Presenters: Practitioners, researchers, and solution providers share case studies, architectures, and technology advancements.
Participants: Engage in workshops, panels, and technical discussions.
Technical Review Committee: Ensures scholarly quality and relevance of abstracts and papers.
Participate and Contribute (Who Benefits):
Data Architects and Engineers: Learn design principles of data fabrics and unified platforms.
Business Intelligence and Analytics Professionals: Discover integrated analytics solutions and governance frameworks.
Chief Data Officers and IT Leaders: Gain insights on scaling data operations and improving data accessibility.
Researchers and Academics: Present research and publish findings on modern data architectures.
Technology Vendors and Consultants: Showcase innovations in data fabric technologies.
Benefits:
Certificate of Participation issued after event feedback.
Commemorative momento recognizing participation.
Abstracts and selected papers published in top-tier indexed journals such as Scopus, CrossRef, Web of Science (WoS), Elsevier, and SCI.
Abstract Topics / Call for Papers (CFP) Tracks:
Data Fabric Architecture and Core Components
Integrating Legacy Data and Cloud Systems
AI and Machine Learning in Data Fabric Platforms
Automated Data Governance and Metadata Management
Scalability and Performance Optimization
Real-Time Data Processing and Analytics
Case Studies on Data Fabric Implementations
Data Security and Compliance in Unified Platforms
Semantic Data Models and Knowledge Graphs
Future Trends in Enterprise Data Architecture
Registration:
Online registration open to data professionals, CIOs/CDOs, researchers, and students.
Detailed submission guidelines and deadlines provided.
Access to live sessions, recordings, conference materials, certification, and publication opportunities.
Detailed Program Grid (2 Half Days, 9 AM to 1 PM)
Time
Day 1
Day 2
09:00 – 09:15
Opening Ceremony & Welcome Address
Recap of Day 1 & Opening Keynote
09:15 – 10:00
Keynote Session I: Fundamentals of Data Fabric
Keynote Session III: AI-Enhanced Data Fabric Solutions
10:00 – 10:45
Technical Session I: Data Integration and Governance
Technical Session III: Scalability and Performance
10:45 – 11:00
Q&A and Networking Break
Q&A and Networking Break
11:00 – 11:45
Technical Session II: Real-Time Analytics and Processing
This conference presents knowledge and practical approaches to building scalable, unified data fabric platforms for advanced business analytics, with certification and publication opportunities
