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Sonam Chouhan
Solution 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, Sonam Chouhan and Peter High 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.

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About Sonam ...

Sonam Chouhan is a Solution Architect in DevOps at KPMG MBS in Malta, with a Bachelor of Technology in Information Technology and deep expertise in DevOps and MLOps. She leads the DevOps capability, driving innovation through automation, AI integration, and digital transformation. Sonam is passionate about embedding intelligent automation to accelerate delivery and boost operational efficiency.

 

A Microsoft Certified Trainer and holder of multiple Azure certifications, Sonam thrives in complex environments and brings a strategic, outcome-focused approach. Her combination of technical depth and leadership helps organizations scale DevOps maturity and future-proof their digital operations.

2025 by TechTok

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