Data, AI & Analytics Conference Europe

The Data, AI & Analytics Conference Europe brings together data, AI, and analytics professionals to explore cutting-edge technologies, strategies, and real-world applications shaping the future of intelligent systems and data-driven innovation.

Key Topics

• Predictive Analytics and Forecasting
• Data Mesh
• Data Governance
• Generative AI
• Ethical AI and Responsible AI
• Data Architecture
• Data Privacy and GDPR Compliance
• Data Culture
• Cloud Data Warehousing
• AI-Driven Personalisation
• Natural Language Processing (NLP) Applications
• Data Lineage
• Self-Service Analytics and Self-Service Data Preparation
• AI-Driven Marketing and Customer Engagement
• Augmented Analytics
• CDO Role & Data Strategy
• Agentic AI
• Data Discovery
• Data Engineering
• BI & Analytics Storytelling and Collaborative BI
• Edge Computing and Edge AI Applications
• Metadata Management
• Cybersecurity and AI-powered Threat Detection
• Data Semantics
• Risk and Governance
• Data Quality
• Internet of Things (IoT)
• Managing Data as an Asset
• AI for Social Good and Sustainable Development
• Master Data Management
• Enterprise Adoption of AI
• Search and Analytics
• AI in Retail and E-commerce
• Unstructured Data
• Autonomous Systems and Robotics
• Reference Data Management
• Knowledge Graphs
• Data Integration
• ChatGPT
• Business Analytics
• AI in Finance and Banking
• Deep Learning and Neural Networks
• Sentiment Analysis and Opinion Mining
• AI in Sustainability
• Artificial Intelligence and Deep Learning
• Implementing and Using the DAMA DMBOK
• The Logical Data Warehouse
• Big Data
• Technology Trends/Advancements in AI
• Data Modelling
• AI in Healthcare and Life Sciences
• AI and Machine Learning
• Cloud BI and Data Management
• AI in Sustainability
• Ethics in Data
• Managing Cloud-Based Data
• Data Catalogue
• Data Literacy
• AI in Finance and Banking
• BI and the Customer Experience
• Data Analytics
• The Augmented Workforce
• Data Movement and Migration in the Cloud
• Data Science
• Artificial Intelligence
• Data Fabric
• Fast Data and Real-Time Analytics

Who should Attend

• IT Architects and Data Engineers
• Analytics and Business Intelligence Leaders
• AI Specialists and Researchers
• Data Governance and Compliance Officers
• Data Strategy and Innovation Executives
• Cloud and Infrastructure Architects
• Machine Learning Engineers
• CDOs and CIOs
• Technology Consultants and Solution Providers
• Business Decision-Makers and Digital Leaders