Tunis, Tunisia
17–19 July 2026
Friday to Sunday
09:00–17:00 local time (GMT+1)
SESAME University
ZI Chotrana I BP4 Parc Technologique El Ghazela Ariana, Ariana 2088, Tunisia
Open in Google Maps (opens in a new tab)This event took place on 17–19 July 2026.
AUTOMATE OR DIE is a 3-day AI & Automation Hackathon bringing together AI experts, developers, students, entrepreneurs, architects, business
AUTOMATE OR DIE 2026
📍 Location: SESAME University, Tunis, Tunisia
📅 Date: 17–19 July 2026
🎟️ Format: In-Person Event & Hackathon
🌟 About the Event
Technology is changing faster than ever, and Artificial Intelligence is becoming a key driver of innovation across every industry.
AUTOMATE OR DIE 2026 is a three-day event dedicated to exploring how AI and automation are transforming the way we work, build, innovate, and solve real-world challenges.
Hosted at SESAME University in Tunis, the event will bring together students, developers, AI practitioners, architects, startup founders, researchers, business leaders, and technology enthusiasts from across Tunisia and beyond.
More than just a hackathon, AUTOMATE OR DIE is a place where ideas come to life. Participants will learn from experienced professionals, collaborate with peers, receive guidance from mentors, and create innovative solutions powered by Artificial Intelligence.
🎯 Why Attend?
Whether you're taking your first steps into AI or already leading transformation initiatives, this event offers something for everyone:
✅ Learn from industry experts and technology leaders
✅ Discover real-world AI use cases and success stories
✅ Connect with professionals, entrepreneurs, and innovators
✅ Participate in hands-on workshops and technical sessions
✅ Build meaningful relationships within the AI community
✅ Collaborate on innovative solutions during the hackathon
✅ Present your ideas and projects to an expert jury
✅ Explore how AI is reshaping industries and creating new opportunities
🏆 Hackathon Challenges
Participants will have the opportunity to develop AI-driven solutions addressing challenges in key sectors:
🏦 Insurance & Banking
Intelligent customer experiences
Risk analysis and fraud detection
Process automation
Data-driven decision making
🏥 Healthcare & Pharma
Patient experience and engagement
Healthcare analytics
Research and innovation
AI-assisted healthcare solutions
🏭 Industry
Smart manufacturing
Predictive maintenance
Process optimization
Operational efficiency through AI
🎤 Call for Speakers
We are looking for speakers who are passionate about sharing knowledge, practical experience, and inspiration.
We welcome submissions from:
👨💻 Developers and Engineers
🏗️ Solution Architects
🤖 AI Experts and Researchers
🚀 Startup Founders
📈 Business Leaders
☁️ Cloud and Data Specialists
🔐 Security Professionals
🎓 Academics and Students
Share your journey, your lessons learned, your successes, and even your challenges. The most impactful sessions are often those based on authentic real-world experiences.
🎯 Session Tracks
🤖 AI & Generative AI
Discover the latest advancements in generative AI, large language models, and intelligent applications.
🧠 AI Agents & Copilot
Learn how organizations are building AI assistants, autonomous agents, and modern workplace copilots.
⚡ Automation & Low-Code
Explore how automation platforms and low-code technologies are simplifying business processes.
☁️ Cloud & AI Infrastructure
Modern architectures, scalable AI platforms, cloud services, and operational excellence.
📊 Data & Analytics
The foundation of every successful AI initiative, from data engineering to advanced analytics.
🔒 AI Security & Governance
Responsible AI, compliance, governance, privacy, and securing intelligent systems.
🏥 AI for Healthcare & Pharma
Real-world applications improving healthcare services, research, diagnostics, and patient outcomes.
🏦 AI for Insurance & Banking
Innovation in financial services, customer engagement, fraud prevention, and intelligent operations.
🏭 AI for Industry
Industrial automation, smart factories, predictive maintenance, and connected operations.
🚀 AI Startups & Entrepreneurship
Building AI products, launching startups, fundraising, and turning ideas into successful businesses.
👥 Future of Work & AI
How AI is changing daily work, collaboration, productivity, and workforce skills.
💡 Innovation & Digital Transformation
Strategies, leadership, and practical approaches to driving transformation with AI.
🌍 Who Should Join?
Students eager to learn and innovate
Developers and software engineers
AI and data professionals
Startup founders and entrepreneurs
Technology architects and consultants
Business decision-makers
Researchers and academics
Anyone curious about the future of AI and automation
🤝 Join Us in Tunis
For three inspiring days, SESAME University will become a meeting point for people who are passionate about innovation, technology, and the future of Artificial Intelligence.
Come learn, build, collaborate, and share ideas with a community that believes technology can create meaningful impact.
📅 17–19 July 2026
📍 SESAME University, Tunis, Tunisia
*Let's build the future together.
Times in Tunis time (GMT+1)
8:30 AM
9:00 AM
9:30 AM
11:30 AM
12:30 PM
2:00 PM
3:30 PM
5:00 PM
5:30 PM
Times in Tunis time
Welcome by CJD Tunis Horizon President, IEEE & partner introductions, event overview.
Detailed briefings on the 3 challenges: Insurance, Healthcare & Industry. Rules, judging criteria, authorised tools and platform setup.
We are standing at the threshold of an intellectual renaissance where AI and automation are redefining the limits of achievement. This keynote explores how emerging technologies are not replacing human potential but amplifying it at an unprecedented scale. Discover how embracing this rapid transformation today allows us to liberate our time, supercharge our creativity, and consciously design the future.
Most AI demos fall apart the moment they leave a notebook. This workshop is about closing that gap, turning a prompt and response prototype into a system you'd actually trust in production. You'll walk through how LangChain, LangGraph, and LangSmith aren't three separate tools, they're three layers of the same problem. LangChain gives you the building blocks: models, tools, retrieval. LangGraph gives you control over how those blocks think: branching, looping, fanning out into parallel subgraphs, recovering from failure. LangSmith gives you the observability to see what your agent is actually doing, trace every decision, and catch regressions before your users do. Using real architecture patterns from a multi-agent educational platform I built and defended as my final-year engineering project, including fan-out subgraphs and dual-memory design with Redis, youwill learn : -The core differences between LangChain, LangGraph, and LangSmith, what each one is actually for, and where their responsibilities start and stop -How to use each framework individually, and how to wire them together so they work seamlessly as one system rather than three disconnected tools -How to design agent workflows as graphs instead of linear chains, and just as important, how to recognize when that shift actually matters -How to give agents short-term and long-term memory, and the architectural tradeoffs between the two -How to build fan-out/fan-in patterns in LangGraph to run agent branches in parallel and cut down latency -How to trace, debug, and evaluate agent and tool behavior in LangSmith, moving from guessing why an agent failed to actually seeing why -How to think about testing agentic systems, and what "testing" even means when the output isn't deterministic -A practical sense of what it takes to move an agent from a working prototype to something deployable and observable in production By the end, you'll know how to take an agent from prototype to production.
Open mentor tables per sector. Participants explore ideas, validate concepts and get expert feedback on their startup angle and AI solution
Each participant or group submits a 1-page concept note: sector chosen, problem statement, proposed AI solution, startup pitch angle.
Recap of the day, clarifications on rules, preview of Day 2 build phase.
Teams resume work. Coffee & breakfast available. Quick stand-up per sector.
Hands-on session: building functional prototypes, demo strategies, presenting technical solutions to non-technical stakeholders.
Sponsors present tools and resources available to teams.
Teams work on prototypes. Mentors circulate per sector.
Mon contenu a toujours été bon. Ça n'a jamais été le problème. Le problème, c'est que je ne sais pas m'arrêter : j'améliore, encore et encore, jusqu'à la dernière minute, sans jamais geler, sans jamais répéter. Et l'IA, qui rend l'amélioration infinie et gratuite, a transformé ce réflexe en gouffre. Dans cette session, je reviens sans filtre sur ce piège que beaucoup reconnaîtront sans oser le nommer, et sur ce qui m'en sort : un mécanisme, pas de la volonté. La preuve tiendra dans le talk lui-même.
As AI-powered automation becomes more sophisticated, building reliable and scalable workflows requires more than just prompts and models. Modern AI systems need intelligent orchestration to manage complex interactions and telemetry to understand how they perform in real-world scenarios. In this session, we'll explore how orchestration and telemetry work together to create adaptive AI automation that can be monitored, evaluated, and continuously improved. Using practical architecture concepts and real implementation insights, you'll learn how to design AI workflows that are observable, resilient, and ready for enterprise adoption. What You'll Learn How AI automation differs from traditional automation The role of orchestration in AI workflows Why telemetry is essential for monitoring and improving AI systems Design principles for building adaptive and enterprise-ready AI automation Who Should Attend AI Engineers, Developers, Solution Architects, Automation Engineers, Technical Leads, and anyone interested in building scalable, intelligent automation solutions.
What if your AI didn’t just answer questions — it took action? Walk through a realistic IT Product Manager scenario and see how Copilot Studio agents hand off tasks, surface insights, and collaborate across systems so you can focus on decisions that matter. Day in the Life Scenario - Agents in Actions 7 Agents 6 System 1 Goal
Artificial Intelligence is no longer just a productivity assistant—it is becoming an active member of the workforce. Organizations are rapidly evolving from using AI copilots that help employees perform individual tasks to deploying intelligent AI agents capable of planning, reasoning, collaborating, and executing business processes with minimal human intervention. This session explores the emergence of the AI-powered digital workforce and what it means for modern enterprises. Attendees will learn how organizations are redesigning work by combining human expertise with autonomous AI agents that can manage workflows, analyze information, make recommendations, and coordinate activities across business applications. Using real-world enterprise scenarios and Microsoft technologies, including Copilot Studio, Power Platform, Microsoft 365 Copilot, Azure AI, and Power BI, we'll demonstrate how digital workers can automate HR, finance, customer service, IT operations, supply chain, and executive reporting. Beyond technology, we'll discuss governance, security, responsible AI, workforce transformation, and the skills organizations need to successfully adopt AI at scale. Participants will leave with a practical framework for building an AI-powered organization and preparing their teams for the future of work.
Most enterprise AI initiatives don’t fail at the idea stage; they fail during implementation. In this session, I’ll share 5 key lessons from real-world AI adoption inside organizations, focusing on what happens after rollout. We’ll explore common breakdown points, including low user adoption, unclear data ownership, and AI tools that don’t align with daily workflows. I’ll walk through real scenarios where initial approaches didn’t work, the constraints we faced, and the adjustments that delivered measurable results. Attendees will leave with practical guidance on how to avoid common pitfalls, integrate AI effectively, and drive adoption across teams. This session is about decisions, trade-offs, and actionable strategies not theory/generic tool demos.
Dans cette session dédiée à Microsoft Fabric, nous allons explorer comment les permissions de la plateforme et les autorisations SQL granulaires travaillent ensemble pour sécuriser l’accès aux environnements Warehouse et encadrer précisément les droits des utilisateurs. Au cours de cet atelier, nous verrons comment mettre en place un contrôle d’accès avancé grâce aux permissions granulaires, à la sécurité au niveau des colonnes et des lignes, ainsi qu’au masquage dynamique des données. L’objectif est de comprendre comment protéger efficacement les données sensibles tout en garantissant que chaque utilisateur accède uniquement aux informations nécessaires à son rôle. Cette démonstration pratique vous permettra d’appliquer concrètement ces mécanismes de sécurité pour renforcer la gouvernance et la conformité de vos environnements data.
This session is designed for business users, developers, and administrators, including PowerApps, SharePoint, and Azure developers. It will guide you in selecting the most effective storage solution for your development project, whether you're creating in-house applications or purchasing from ISVs or Microsoft. A detailed checklist will be provided to ensure you choose the most suitable storage option for your needs before starting your project. The solutions discussed will include SharePoint Embedded, SharePoint Document Library, and Blob Storage. Each solution will be evaluated based on various requirements, with an in-depth examination of working with SharePoint Embedded. The session will emphasize the significance of data for your company and projects, highlighting its role in informed decision-making, problem-solving, and process improvement. Security and compliance aspects of each storage solution will also be covered, ensuring your data is protected and meets regulatory standards. Furthermore, the cost implications of each storage solution will be analyzed, aiding you in making budget-conscious decisions. The session will also explore how AI and Copilot agents can enhance your storage strategy, from automating data management to improving data analytics. By the end of this session, you will have a clear understanding of the optimal storage solution for your needs.
9 speakers shared what they know.
M365 Architect, Cyclotron
Spoke in Tunis
Lead BI & AI Consultant, Ignatiuz
Spoke in Tunis
AI Automations & Agentic Solutions Architect | Digital Transformation Leader | Enterprise AI & Data Strategy | Power Platform & Fabric Architect | Program & Delivery Management | Cloud Modernization M
Spoke in Tunis
Senior Developer Advocate | Microsoft MVP Microsoft 365 & SharePoint | International Speaker | Community Leader | Product Evangelist
Spoke in Tunis
university student
Spoke in Tunis
Systems & Functional Lead - D365, Power Platform & Copilot | AI Enablement & Adoption | Speaker | Creator
Spoke in Tunis
Tribe director
Spoke in Tunis
Quantum Technology Inc
Spoke in Tunis
Founder of SimpliTraining and MCT Trainer
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CEO · Cloud and Security Architect
Cloud and AI Engineer · Tech Trainer · Tech HealthCare Expert · Women in Tech Advocate
Chief Information Security Officer at FORTEIA
AI, Microsoft 365 and Power Platform Architect · MCT and MVP · Trainer · Speaker
Founder & Independent Technical Consultant · Microsoft Certified Trainer (MCT) · Power Platform, M365, AI & Copilot
Solution Architect on Microsoft Dynamics & AI
The recap
This event took place on 17–19 July 2026. Thank you to everyone who came, spoke, sponsored and volunteered.
9
speakers took the stage
20
sessions on the agenda
Every certificate has a unique code. Anyone can check that it is genuine on our verification page, and you can add it to your LinkedIn profile from your account.
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