
Peter High
Senior Technical Architect - KPMG Microsoft Business Solutions
Modernizing AI Delivery: DevOps Meets Machine Learning
What happens when we stop treating AI like an experiment and start managing it like a product?
In this talk, Peter High and Sonam Chouhan will unpack the shift from traditional AI experimentation to scalable, reliable AI delivery using modern DevOps and MLOps practices. As organizations increasingly invest in machine learning, many still struggle to move models beyond proof of concept into production environments that are stable, secure, and impactful. This session will bridge that gap—showing how delivery pipelines, infrastructure automation, version control, testing, monitoring, and cross-functional collaboration are being reshaped to meet the demands of real-world AI.
Drawing on practical insights from her extensive experience, Sonam will explore how platform teams and data scientists can work in sync to reduce friction, accelerate deployment cycles, and build trust in AI systems. Attendees will gain a clearer picture of how to treat machine learning not as a one-off experiment, but as a strategic product embedded within their business. Whether you’re working in software, data, operations, or product, this session will equip you with a better understanding of how to modernize your approach to delivering AI at scale.
About Peter ...
Peter High is a Senior Technical Architect in DevOps at KPMG MBS, Malta, with over 9 years of experience delivering robust cloud and hybrid infrastructure solutions. With a Bachelor of Computing and multiple Microsoft and AWS certifications, Peter specializes in DevOps, automation, and cloud-native architecture. His technical toolkit includes Azure DevOps, CI/CD, GitHub, GitLab, Docker, Kubernetes, AKS, and more.
Peter has led high-impact projects across sectors such as finance, government, and manufacturing, and is known for bridging technical and business needs with clarity and precision. He is passionate about driving operational efficiency through scalable, secure, and modern digital infrastructures.



