Samantha St-Louis (Allegrini)
Simplifying AI and Cloud for Real-World Impact.
Dallas, Texas, United States
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AI Engineer & Cloud Solutions Architect| MVP & MCT |
Samantha is a passionate and dynamic Cloud and AI Solutions, with a mission to make AI and cloud technologies accessible and impactful for real-world applications. Leveraging a rich background in healthcare and education, Samantha specializes in designing scalable, AI-driven cloud solutions tailored to the unique challenges of businesses, particularly in the healthcare sector.
As a technology trainer Samantha combines technical expertise with a gift for clear, engaging communication. Her sessions are known for their practicality, empowering participants with actionable insights they can apply immediately.
A strong advocate for women in tech, Samantha's personal journey of carving her path into the tech industry and build fulfilling careers.
When she's not demystifying technology, Samantha dedicates herself to supporting mothers and families through her parenting consulting business, BeBaby, proving that the intersection of tech and life can be as empowering as it is innovative.
Session Topics Include:
Promp-A-Thon: Unlocking the Power of AI Tools for Everyday Use
Cloud Solutions for Healthcare: Bridging Tech and Care
AI for Beginners: Making Artificial Intelligence Understandable and Accessible
Women Who Carve Their Own Path: Empowering Women to Succeed in Tech
Certifications: Azure AI Enginneer, Python AI Developer, Azure Fundamentals, Azure AI Fundamentals, Power Platform Fundamentals, Microsoft 365 Fundamentals, and more.
Connect with Samantha to explore how technology can transform industries, careers, and lives!
Area of Expertise
Topics
AI in Patient Care: Designing Human-Centric Intelligent Solutions
AI is revolutionizing patient care, but technology must remain human-centric to deliver meaningful results. In this session, Samantha will explore how AI tools, such as Azure Cognitive Services and AI Language Models, can support healthcare professionals in delivering personalized, responsive, and empathetic care.
From AI chatbots for patient triage to automated follow-up reminders, you’ll see how cloud-first AI solutions can enhance human connection rather than replace it.
Key Takeaways:
Learn to design human-centric AI healthcare systems.
Explore AI chatbots and dynamic triage systems for better patient engagement.
Understand how AI improves care pathways while reducing staff burnout.
📝 Level: Beginner/Intermediate
🎤 Format: Story-Driven Talk + Live Demo
⏱ Duration: 45–60 minutes
NeuroModular AI Architecture™ Designing Intelligent Systems That Think, Adapt, and Scale
What if your AI system could behave like a brain, perceiving, responding, and evolving, without being rebuilt every time the world changes?
Welcome to NeuroModular AI Architecture, a framework developed by Microsoft MVP Samantha St-Louis for building living, thinking AI-native systems.
In this session, Samantha helps you abandon the outdated model of AI as a static tool. Instead, you will reimagine it as a modular nervous system with reusable intelligence, dynamic feedback loops, and orchestration across the full Azure cloud ecosystem.
You’ll walk through real-world architectures that connect short-term memory (vector DBs), long-term semantic storage (data lakes), shared cognitive models, and cross-system outputs like Copilot, APIs, and dashboards.
Each “neuron” is built to scale, self-heal, and evolve making your AI infrastructure resilient by design.
Whether you're a technical architect designing next-gen healthcare solutions or an executive looking to future-proof your AI investment, this talk will change the way you see intelligence in the cloud.
Key Takeaways:
Discover how to design modular, orchestrated AI systems that act like a living brain.
Architect AI ecosystems that are resilient, reusable, and regulatory-ready.
Use Azure AI Services, Foundry, Cognitive Services, and MLOps in harmony.
Build event-driven pipelines with automatic retraining and drift correction.
Implement multi-output intelligence without data duplication or model sprawl.
Learn how governance, observability, and cost-efficiency form your AI’s immune system.
Ideal Audience:
1. AI Engineers, Cloud Architects, and MLOps Specialists and more.
2. CTOs, Heads of Innovation, and Decision Makers in Healthcare and business.
3. Microsoft Partners and Product Owners exploring scalable, AI-native transformation
Formats Available:
1.Session or keynote (45–60 mins)
2. Half-Day Workshop (4 hrs): Dive deeper into your own use case. Includes planning templates and design canvas
3. Full-Day Workshop (8 hrs): Build your own NeuroModular AI architecture with live coaching and solution prototyping
Available in English or French
💼 Can be tailored to industry-specific audiences (e.g., healthcare, fintech, education, dev students and more).
Foundry in the Real World: Building, Deploying, and Scaling AI Solutions
Most AI projects don’t fail because the model is wrong. They fail because there’s no plan for what comes after. That moment when your brilliant prototype needs to grow up, scale, and survive in the real-world...that’s where things fall apart.
No version control. No deployment strategy. No way to push updates safely, monitor performance, or roll back when things break because we all know they will.
This session introduces Azure Foundry, Microsoft’s intelligent framework for deploying AI solutions that are built to last. You’ll learn how to go from notebook to production-ready intelligence.
We’ll walk through the exact pieces you need to:
1. Deploy AI models into managed applications (not just APIs)
2. Control how and where those models run: across dev, test, and prod
3. Integrate with services like Copilot Studio, OpenAI, and Azure ML
4. Build systems that can update themselves, audit themselves, and stay online
Whether you're launching copilots, retraining scoring engines, or scaling AI agents across departments, Foundry gives you more than infrastructure, it gives you a blueprint for keeping your intelligence intelligent.
Key Takeaways:
-Learn how Foundry enables multi-environment AI orchestration
-Build and deploy governed, secure, and versioned AI applications
-Discover how to integrate Azure AI Services and ML into Foundry apps
-Understand the business value of modular, scalable, cost-aware AI delivery
-See how Foundry supports NeuroModular AI Architecture by enabling dynamic retraining, rollback, and reuse
Target Audience:
1. Azure cloud architects, MLOps professionals, and AI Engineers
2. IT managers and CTOs in regulated industries
3. Microsoft partners and advanced Copilot Studio users
Session Formats:
Session (45–60 min)
Hands-On Workshop (4 hours): Build and deploy your first AI Foundry app using Azure AI Services
Full-Day Lab (8 hours): Implement a NeuroModular AI system with real-time feedback loops, OpenAI, and multi-tenant deployment
aMP Boston – HealthTech Leadership Day Sessionize Event
North America MCT Summit 2025 Sessionize Event
M365 Community Days Phoenix 2025 Sessionize Event
Global Power Platform Bootcamp Houston 2025 Sessionize Event
Global Healthcare Cloud & AI Community - Boston User group Sessionize Event
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