Healthcare is one of the most complex and data-rich industries, yet it often struggles with outdated systems, fragmented data, and scalability challenges. In this insightful session, Samantha will demonstrate how cloud-first AI solutions are revolutionizing healthcare by enabling secure, scalable, and intelligent workflows.

Drawing on her healthcare background and expertise as a Cloud and AI Solutions Architect, Samantha will showcase real-world case studies, including AI-driven patient care workflows, dynamic decision trees for treatment plans, and secure data-sharing architectures.

This session goes beyond theory—it’s about practical, actionable strategies for implementing cloud and AI solutions that improve patient outcomes, reduce inefficiencies, and bridge the gap between technology and care.

Key Takeaways:
✅ Dynamic AI Architectures: Learn how to design cloud-first architectures tailored for healthcare environments.
✅ Real-World Solutions: Explore successful implementations of AI in healthcare, from automated diagnostics to dynamic care pathways.
✅ Security & Compliance: Understand best practices for HIPAA compliance and secure data handling in cloud solutions.
✅ Scalability in Action: Discover how Azure AI tools scale to meet the evolving needs of healthcare systems.
✅ Actionable Strategies: Gain insights on starting small, scaling efficiently, and ensuring team adoption of new technologies.

📝 Level: Intermediate/Advanced
🎤 Format: Interactive Talk + Case Study Insights
⏱ Duration: 45–60 minutes