Digital Transformation Week Europe | 26-27 September 2023

Digital Transformation Week Europe is not your typical event focused on empty discussions about digital transformation. Instead, it is a premier forum specifically tailored for enterprise-level decision-makers who are eager to explore and evaluate new technologies and strategic approaches that drive innovation within their businesses.

Taking place over two days at the RAI in Amsterdam, this event caters to ambitious professionals in the field of enterprise technology. It offers an opportunity to delve into the latest innovations, implementations, and strategies that can propel businesses forward.

Digital Transformation Week Europe is designed for digital and IT leaders who are spearheading change and fostering innovation within their organizations. It provides a platform to learn from peers who are actively accelerating digital transformation in their respective industries.

With over 5,000 attendees expected to join the co-located event, including CTOs, Heads of Digital Transformation, Heads of IT and IT Directors, Directors of Business Transformation & Innovation, IoT/AI Infrastructure Providers, Cloud Service Providers, Business Analysts, Solution Architects, Network Managers, Information Security Managers, and more, this event promises extensive networking opportunities and diverse perspectives.

By registering for the event, you’ll have the chance to hear from over 40 industry experts who will share their invaluable knowledge and real-life experiences through solo presentations, expert panel discussions, and in-depth fireside chats.

Key topics to be covered include:

  • Digital Workforces and the Future of Work
  • Robotic Process Automation
  • Edge Computing
  • Quantum Computing
  • Using AI to Understand Behaviors
  • Understanding Risk & Security
  • Headless Tech Strategies
  • Digital Twin
  • 5G Connectivity & WiFi 6

The event boasts an impressive lineup of speakers for 2023, including thought leaders such as Manyana Schmitz from PVH Corp., Christiaan van der Waal from FedEx, Kevin Gamble from IKEA Netherlands, Kian Abolfazlian from Philips, Jose Ferrel from Netflix, Gladis Araujo from Mattel, Paul Beelen from Coca-Cola HBC, Anh Tran from DevoTeam, Vytautas Aseris from Vinted, Pradeep Jadhav from BNY Mellon, Maxim Foursa from Booking.com, and Michael Brouwers from Heineken.

Don’t miss out on this opportunity to gain insights from industry pioneers and be part of a transformative event that can shape your digital journey. Register now to secure your spot at Digital Transformation Week Europe and embark on the path to innovation.

Aihub Team

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AI and Human-Computer Interaction: AI technologies for improving user interfaces, natural language interfaces, and gesture recognition.

AI and Data Privacy: Balancing AI advancements with privacy concerns and techniques for privacy-preserving AI.

AI and Virtual Assistants: AI-driven virtual assistants, chatbots, and voice assistants for personalized user interactions.

AI and Business Process Automation: AI-powered automation of repetitive tasks and decision-making in business processes.

AI and Social Media: AI algorithms for content recommendation, sentiment analysis, and social network analysis.

AI for Environmental Monitoring: AI applications in monitoring and protecting the environment, including wildlife tracking and climate modeling.

AI in Cybersecurity: AI systems for threat detection, anomaly detection, and intelligent security analysis.

AI in Gaming: The use of AI techniques in game development, character behavior, and procedural content generation.

AI in Autonomous Vehicles: AI technologies powering self-driving cars and intelligent transportation systems.

AI Ethics: Ethical considerations and guidelines for the responsible development and use of AI systems.

AI in Education: AI-based systems for personalized learning, adaptive assessments, and intelligent tutoring.

AI in Finance: The use of AI algorithms for fraud detection, risk assessment, trading, and portfolio management in the financial sector.

AI in Healthcare: Applications of AI in medical diagnosis, drug discovery, patient monitoring, and personalized medicine.

Robotics: The integration of AI and robotics, enabling machines to perform physical tasks autonomously.

Explainable AI: Techniques and methods for making AI systems more transparent and interpretable

Reinforcement Learning: AI agents that learn through trial and error by interacting with an environment

Computer Vision: AI systems capable of interpreting and understanding visual data.

Natural Language Processing: AI techniques for understanding and processing human language.