AIOTGS-25 #1

Technical and Foundations Breakout

Sponsored by

Session Overview:
This technical breakout session is designed for practitioners, engineers, and technologists who want to deepen their understanding of how AI and IoT can be architected together to create scalable, efficient, and secure systems. Instead of focusing on specific products, this session emphasizes core technical principles, real-world architecture patterns, and critical implementation considerations across diverse industries.

What to Expect:

• AIoT Systems Architecture: Explore how to design integrated systems that connect intelligent models with IoT devices at the edge and in the cloud. Learn how to align computing, data, and network layers for maximum performance and adaptability.

• Data Pipelines and Interoperability: Understand how to build robust data ingestion, transformation, and processing pipelines. Dive into strategies for ensuring interoperability across devices, platforms, and legacy systems using open standards and APIs.

• AI Lifecycle in IoT Contexts: Learn how to manage the full AI lifecycle—from data labeling and model training to validation, deployment, monitoring, and updating—in environments where data is often decentralized and continuously generated.

• Security and Resilience: Delve into best practices for securing AIoT deployments, including device authentication, data encryption, model integrity, and resilience against system failures or adversarial attacks.

• Sustainable Engineering: Explore design approaches that support energy efficiency, responsible AI use, and long-term system maintainability—critical for future-proofing AIoT infrastructure.

Who Should Attend:

• Software and systems engineers

• AI/ML practitioners and data scientists

• IoT solution architects and embedded developers

• Infrastructure and DevOps teams

• Technical leaders and product architects