🌐 AI COMMUNITY DAYS – Shaping the Future of AI Together
📅 Date: Saturday, November 8, 2025
📍 Location: MIT Polytech, 2 Rue de Sousse, BebKhadhra 1006, Tunis, Tunisia
Hosted by: AI COMMUNITY DAYS
About the Event
AI COMMUNITY DAYS is a global gathering designed to bring together people who are passionate about Artificial Intelligence — from curious learners to seasoned professionals. This event is all about sharing real-world experiences, exploring emerging trends, and building a more inclusive and ethical AI future.
Featured Topics
🧠 AI in Healthcare – How AI is transforming diagnostics, patient care, and medical research
⚖️ Ethical AI – Responsible AI practices, fairness, transparency, and bias mitigation
🚀 AI Startups – Stories and insights from founders building the future with AI
🤖 Generative AI &amp; Copilot – Exploring productivity, creativity, and automation
📊 Real-World Use Cases – From industry to education, see AI in action
💬 Community Panels &amp; Lightning Talks – Diverse voices and fresh perspectives
Why Attend?
🎓 Learn from experts and practitioners
🌍 Connect with a global network of AI enthusiasts
💡 Get inspired by real projects and startup journeys
🎤 Share your voice or just listen and learn
Join Us
Let’s build a more ethical, inclusive, and impactful AI future&nbsp; together.
📩 Questions or sponsorship inquiries? Contact us at: contact@aicommunitydays.ai
#AICommunityDays #AIForEveryone #EthicalAI #AIHealthcare #AIStartups #ArtificialIntelligence #TechEvents

AI COMMUNITY DAYS - TUNIS

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Room 2

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Welcome

Keynote

I'm head of training services and cloud solutions expert at INSOMEA, we are Microsoft Partner.I'm working on the M365 Copilot implementation since September 2023 and I held several workshops in Bahrain, Tunisia, Lybia, Senegal and many others across the MENA Region. 

AI & Copilot: M365 Copilot, Copilot Studio, AI implementation strategies, ethical considerations

As large language models and intelligent services become foundational to modern applications, architects and developers are rethinking their cloud-native patterns. In this session, we’ll explore what it means to build AI-first applications using Platform-as-a-Service (PaaS) on Microsoft Azure.

We’ll walk through practical architectures that embed Azure OpenAI, Cognitive Services, and event-driven workflows directly into your apps—without having to manage infrastructure. You’ll also see how the Model Control Plane (MCP) enables standardized model management, monitoring, and governance, ensuring consistent lifecycle control across environments.

You’ll discover how to combine services like Azure App Service, Functions, Cosmos DB, and API Management with MCP to deliver scalable, intelligent experiences at speed—while maintaining alignment with enterprise policies and compliance requirements.

Through two real-world inspired examples—an AI-powered customer support bot and a real-time feedback analyzer—you’ll learn how to operationalize LLMs, manage them via the MCP, choose the right Azure components, and apply best practices for security, cost optimization, and governance.

Whether you're modernizing legacy apps or building cloud-native platforms from scratch, this session will give you a solid blueprint to go from PaaS to the future with AI at the core, with MCP ensuring your models remain under control and enterprise-ready.

PaaS to the Future: Modern AI-First Architectures on Azure

Discover how to design and deploy intelligent copilots with Microsoft Copilot Studio that go far beyond simple chat. These AI agents can retrieve knowledge from your own data and take meaningful actions. After a quick introduction to Copilot Studio fundamentals (topics, entities, variables, and conversational design), we will demonstrate how to train copilots on information from documents, SharePoint, Dataverse, and other sources, and how to integrate Generative AI to understand intent and deliver reliable answers. The session will conclude with practical demos showcasing real-world copilots in action.

Build High-Impact AI Agents with Microsoft Copilot Studio: From Data to Actions

J’aurai le plaisir de présenter Microsoft Power BI, l’outil incontournable de Business Intelligence qui permet de transformer des données brutes en informations claires et exploitables. Au cours de mon intervention, je partagerai les bonnes pratiques pour concevoir des tableaux de bord efficaces, montrerai comment connecter, transformer et modéliser les données, et illustrerai l’impact de Power BI à travers des cas concrets. La session sera également enrichie par une démonstration en direct d’un rapport interactif, offrant ainsi aux participants une vision claire et pratique de la valeur ajoutée que Power BI peut apporter dans la prise de décision.

Power BI

Unlock the power of AI in your business workflows with this hands-on workshop on building your first Copilot! Designed for professionals eager to integrate AI-powered automation into their processes, this session will guide you through creating an initial Copilot using Microsoft Power Platform.
- Understanding the basics of Copilot and AI in the Power Platform 
- Designing and configuring a Copilot for specific business needs
- Integrating AI capabilities with Power Automate and Power Apps
- Best practices for enhancing productivity with AI-driven automation

Build an initial copilot

This session is designed for business users, developers, and administrators, including PowerApps, SharePoint and azure developers. 

It will explore how to select the best storage solution for your development project, whether developing in-house applications or purchasing from ISVs or Microsoft.

A comprehensive checklist will be provided to consider before starting your project, ensuring the most suitable storage option is chosen for your needs. The solutions covered will include SharePoint Embedded, SharePoint Document Library, and Blob Storage. Each solution will be compared based on different requirements, with a deep dive into the details of working with SharePoint Embedded.

The importance of data for your company and projects will be emphasized, highlighting how crucial it is for informed decision-making, problem-solving, and improving processes. Security and compliance aspects of each storage solution will also be covered, ensuring that your data is protected and meets regulatory requirements.

Additionally, the cost implications of each storage solution will be discussed, helping you make 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, a clear understanding of the optimal storage solution for your needs will be achieved.


Choosing the Right Storage Solution for Modern Cloud Applications

AI-powered Copilot agents are changing how we work—helping us automate tasks, make smarter decisions, and be more productive. Whether it’s streamlining business operations, enhancing collaboration, or even generating content, these AI assistants are becoming an essential part of our daily workflows. In this session, we will dive into how Copilot agents are evolving, explore their impact on personal and professional tasks, and show you practical ways to integrate them into your work. Through real-world examples, the attendees will see just how powerful they can be.

In this session, we will focus on 
1. Building a custom Copilot agent from scratch using Microsoft Copilot Studio.
2. Connecting Copilot to Power Platform to automate common business processes.
3. Using AI to generate content, summarize information, and enhance productivity.
4. Understanding AI ethics and best practices to ensure responsible usage.

By the end of the session, the attendees will be able to understand how Copilot agents work and their role in modern workflows, build and customize their AI-powered assistant, and learn best practices for integrating Copilot with Power Platform & Microsoft 365.

The Rise of Copilot Agents: From Concept to Building Your Own AI-Powered Assistant

When we talk about the future — especially the rise of AI and rapid change — fear often dominates the conversation. Fear of replacement. Fear of disruption. Fear of losing what makes us human. But what if the real story isn’t fear at all — what if it’s hope?

In this forward-looking talk, Rebecca Bragdon challenges audiences to rethink the way they approach innovation and growth. Drawing from her own experience experimenting with AI in deeply human ways, she shows how technology doesn’t replace us — it reflects and amplifies what’s already possible when we lead with courage and authenticity.

Through storytelling and practical insights, Rebecca helps participants understand how to step into the unknown with curiosity instead of hesitation. Attendees will leave with both a new perspective and practical tools to embrace change, build confidence in uncertain times, and create futures defined not by fear, but by collaboration, creativity, and resilience.

Fear or Future? Redefining Growth in the Age of AI

I will present my final year project, carried out at Groupe SFBT, titled “Intelligent Monitoring and Management System”. This project combines Artificial Intelligence, Computer Vision, IoT, and embedded systems to enhance safety, optimize logistics, and improve operational performance in an industrial environment.

Key features include:

Facial recognition for access control

Automatic license plate reading

Smart parking management and tracking of available spaces

Monitoring of pedestrian crossings and sensitive zones

Detection of Personal Protective Equipment (PPE)

Detection of risky behaviors (e.g., smoking)

Smoke and fire detection

Automatic counting of manufactured products (glass & PET)

Tracking incoming/outgoing pallets and warehouse management

Laboratory hygiene control

Automated personnel entry and exit management

The solution includes web interfaces (Angular) and mobile apps (Flutter) connected to a Spring Boot + MongoDB backend, with an innovative approach to reduce false alerts. This session will cover the design, implementation, and real-world impact of the project, demonstrating the potential of AI in transforming industrial operations in line with Industry 4.0 standards.

Intelligent Monitoring and Management System

Are you ready to move beyond basic test automation? The future of software testing isn't just about scripts it's about intelligent agents that can learn, adapt, and test software on their own.

Join us for an exciting journey as we explore the AI-powered test revolution. In this session, you will learn how to take your first practical steps toward building autonomous test agents.


AI-driven testing revolution:  First step towards building autonomous test agents

The rapid evolution of artificial intelligence is reshaping industries, and community-driven platforms such as AI Community Days are essential to accelerating adoption and knowledge exchange. This presentation explores how scalable AI-powered predictive analytics and generative systems can transform enterprise and community healthcare by moving from reactive to proactive care delivery.

Drawing from 19+ years of experience in building AI-driven solutions, I will demonstrate how modern predictive models integrated with cloud platforms achieve high-performance outcomes in real-world healthcare environments. For instance, predictive systems processing tens of billions of values across multiple timepoints consistently deliver AUROC values above 0.93, enabling clinicians to detect critical conditions such as sepsis 24–48 hours before onset. These interventions not only improve patient survival rates but also significantly reduce treatment costs.

The session will also cover the technical and organizational challenges of scaling such systems. Topics include overcoming data preprocessing bottlenecks, designing cloud-native architectures that enhance interoperability by 60%+, and reducing clinical alert fatigue through specificity-driven models. Attendees will gain insights into overcoming common barriers such as electronic health record (EHR) integration, model drift detection, and regulatory compliance.

In addition, I will highlight how emerging approaches such as federated learning and edge AI strengthen privacy while reducing response times by over 60%. Real-world case studies will illustrate the measurable impact of these solutions on patient engagement, cost efficiency, and system resilience.

This talk is designed for AI practitioners, community innovators, healthcare leaders, and developers seeking actionable frameworks to deploy generative AI and predictive systems at scale. Attendees will leave with practical strategies to build enterprise-ready AI systems that sustain 99.95% availability, support hundreds of thousands of records in real time, and deliver lasting clinical and community impact.

Scaling Generative AI and Predictive Systems for Enterprise & Community Healthcare

The healthcare insurance industry is experiencing significant transformation through artificial intelligence adoption, driven by increasing pressure to improve operational efficiency and reduce administrative costs. This research examines the current landscape of AI implementation across healthcare payor operations, analyzing trends in claims processing automation, fraud detection enhancement, and member engagement optimization.
Healthcare insurers are increasingly adopting AI technologies to address traditional operational challenges. Automated claims processing systems are substantially reducing manual review requirements and processing timelines, while improving accuracy in claims adjudication. Organizations implementing AI-driven solutions report meaningful improvements in operational efficiency and cost management compared to traditional manual processes.
Fraud detection capabilities represent another significant area of AI advancement in healthcare insurance. Machine learning algorithms demonstrate superior performance in identifying suspicious patterns and anomalous claims compared to rule-based detection systems. These technologies enable real-time analysis of claims data, supporting more effective fraud prevention strategies and reducing financial losses from fraudulent activities.
Member engagement has also benefited from AI integration through virtual assistants and personalized communication platforms. These systems handle routine inquiries effectively while providing personalized health management support, improving member satisfaction and reducing administrative overhead for customer service operations.
The research identifies key implementation challenges including data quality requirements, regulatory compliance considerations, and organizational change management needs. Successful AI adoption requires strategic planning frameworks that address technical infrastructure, staff training, and gradual integration approaches.
Healthcare insurers with mature AI capabilities demonstrate competitive advantages including improved operational metrics, enhanced member experiences, and better financial performance. The study provides insights into best practices for AI implementation, highlighting critical success factors and common pitfalls in digital transformation initiatives.
This analysis offers practical guidance for healthcare insurance organizations considering AI adoption, presenting evidence-based recommendations for strategic planning, technology selection, and implementation approaches that support sustainable operational improvements in an increasingly competitive healthcare marketplace.

AI Applications in Healthcare Insurance: Digital Transformation and Outcomes

In today’s digital-first world, businesses need more than just automation—they need intelligence that can act. Agentic AI transforms the way organizations operate by moving beyond chatbots and dashboards to create autonomous AI agents that can analyze, decide, and take action in real time.

This session explores how Microsoft Power Platform empowers every business to build smart, AI-driven solutions without requiring deep technical expertise. We’ll demonstrate how AI Builder, Copilot, Power Automate, Power Apps, and Power BI integrate with Azure AI to create intelligent agents that streamline processes, improve decision-making, and enhance customer and employee experiences.

From customer service automation to financial insights and HR support, discover practical use cases, architecture, and governance models that enable businesses to run smarter and more proactively.

By the end of the session, you’ll understand how to leverage Agentic AI on Power Platform to:

Unlock business efficiency with intelligent process automation

Deliver smarter, data-driven decisions across departments

Build enterprise-ready AI agents that act responsibly and securely

Agentic AI on Power Platform for Smart Business

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MIT Polytech is a multidisciplinary Polytechnic private engineering school, certfied ISO 21001, ASIIN, EUR-ACE, EURO-INF. EPM has succeeded in setting up training courses that are increasingly in tune with the labor market and the needs of the industry in cooperation with companies and international Universities. This approach has enabled it to be more attentive to the requirements of its students and the needs of its partners in terms of quality ; human resources ; skills and high technology. Students have the option to continue in Europe and Asia with our partners. EPM has an MIT incubator and contributes to MIT foundation..

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Community Days | AI COMMUNITY DAYS - TUNIS