AWS Summit Dubai 2025

Discover how to harness the power of Generative AI on AWS in this GenAI enablement session. Learn about Amazon's GenAI services ecosystem, understand key concepts of foundation models, and explore different use-cases. This session provides technical decision-makers and practitioners with essential knowledge to start their GenAI journey on AWS. Attendees will receive a certificate of attendance, acknowledging their participation in this AWS GenAI foundations session. 

Speakers: Fatiha Bouabache, Senior Solutions Architect, AWS | Shivagami Gugan, Enterprise Technologist, MEA, AWS

Session’s Type: Enablement

This panel brings together influential women executives from leading technology companies and AWS to share their transformative journeys in the cloud and technology landscape. Through their experiences, these leaders demonstrate how diverse perspectives drive innovation and create pathways for the next generation of technology professionals. The discussion will address real-world challenges specific to women in tech leadership roles, exploring proven strategies for success and offering practical guidance for building rewarding careers in cloud computing and IT. Our accomplished panelists will share concrete approaches that have enabled them to navigate their careers, lead technological initiatives, and build inclusive, high-performing teams.

Speakers: Samira Bakhtiar, Director Media & Entertainment, AWS | Amine Chigani, WW Leader Enterprise Technologists, AWS | Wejdan Alhajaj, VP IT Strategy & Capabilities, Flydubai | Amina Abdulrahim, Executive Director of ICT and IT Security, AUS | Nour Taher, Founder, Intella

Session’s type: Panel

Learn how Property Finder revolutionized property listing creation using Amazon Bedrock and Amazon Nova to generate SEO-optimized descriptions in English and Arabic simultaneously. This session reveals how the Middle East's leading real estate platform automated multilingual content generation, enabling agents to create high-quality listings faster. Discover the technical implementation, challenges overcome, and how this AI-driven solution transformed their listing efficiency across six markets while maintaining local relevance.  

Speakers:  Imane Zeroual, Senior Cloud Operations Architect, AWS | Meriem Boughrara, Senior Data Engineer, Property Finder

Session’s Type: Breakout session

Unlock the power of Amazon SageMaker Studio, a comprehensive IDE for streamlining the machine learning (ML) lifecycle. Explore data exploration, transformation, automated feature engineering with AutoML, and collaborative coding using integrated Jupyter Notebooks. Discover how SageMaker Studio MLOps integration simplifies model deployment, monitoring, and governance. Through demos and best practices, learn to leverage SageMaker Studio tools for efficient feature engineering, model development, collaboration, and data security.

Speakers: Hajer Mkacher, Solutions Architect, AWS | Mohamed Khalid, CEO/Founder, AIREV 

Session’s type: Breakout Session

The session dives deep on building efficient AI applications using Amazon Bedrock that can quickly analyze multiple data sources to transform the customer service and user experience, while maintaining AI safety. Join us to learn how Places, UAE moved to Amazon Bedrock with Claude 3.5 Sonnet to improve the user experience and boost Arabic search accuracy. 

Speakers: Lakshmi Anoop Solution Architect, AWS | Walid Abu Ali 

Session’s Type: Breakout Session

Join this session to learn how generative AI applications can be scaled using Amazon Bedrock multi-agent collaboration can scale generative AI applications and solve complex problems with better planning and coordination. Learn how to create specialized agents for different tasks, structure their interactions using common architectural patterns, and orchestrate them effectively. Also, see a live demo showcasing a real-world application powered by multiple agents working together to deliver intelligent responses.

Speakers: Reef AlThunayan, Solutions Architect, AWS 

Session’s Type: Breakout Session

Introducing AWS Security Incident Response, a new service to help you respond and recover faster from security incidents. Learn how Security Incident Response triages threat findings from Amazon GuardDuty and other detection services and provides service-native tools to coordinate and automate response. GTN will present how they leveraged cyber fusion to enhance threat intelligence, orchestration, data analysis, incident response and communication among teams to improve the overall security risk posture of a fintech company in the Cloud.  

Speakers: Sneh Sharma Customer Solutions Manager, AWS | Hirantha Wijayawardena, Head of Information Security, GTN | Wijayawardena 

Session’s Type: Breakout Session

Pod 1: RAISE (Responsible AI Solutions in Eco-fashion) Demo

Abstract: Learn how Amazon Bedrock's Large Language Models, combined with retrieval augmented generation, can revolutionize sustainability in fashion retail. This hands-on session demonstrates how AI-powered solutions can transform excess inventory into recycling opportunities. With the fashion industry currently losing approximately $630 billion annually due to unsold stock, companies implementing AI powered technologies could see up to 40% reduction in overstock, delivering both significant cost savings and enhanced brand reputation through improved environmental stewardship
 

Pod 2: How to leverage GenAI in Entrepreneurship

Abstract: Discover how generative AI can become a game-changing tool for entrepreneurs building businesses in today's competitive landscape. This session explores practical applications of GenAI that empower founders to accelerate growth while minimizing costs and resource constraints. From crafting compelling marketing content and conducting market research to streamlining operations and enhancing customer experiences, we'll showcase real-world use cases where AI serves as a force multiplier for startups. Participants will learn implementation strategies for various business functions, understand technical and ethical considerations, and gain insights into cost-effective AI adoption approaches.

Pod 3: Automate Exam Creation with AWS Generative AI

Abstract: Discover how to use Amazon Bedrock language models to instantly generate customized exam questionnaires from your own course content. Learn how to build a serverless application that creates tests aligned with your curricula, allowing students to take tailored assessments and teachers to receive results by email. This hands-on workshop will show you how to simplify the time-consuming process of exam creation while improving the learning experience. Leave with the skills to implement your own automated assessment solution using AWS generative AI.