Concrete Guidelines to Improve ML Model Quality Based on Future ISO Certifications

Discover concrete guidelines for improving machine learning model quality based on upcoming ISO certifications in this comprehensive conference talk. Delve into the challenges of AI project success rates and explore a new quality evaluation approach supported by future ISO standards. Learn from Olivier Blais, VP of Decision Science and editor of international AI ISO standards, as he shares insights on delivering high-quality AI systems that meet business objectives and drive adoption. Gain valuable knowledge on key processes supporting quality evaluation, including validation and testing methodologies, user acceptance testing for AI systems, and techniques for ensuring system robustness, adaptability, and risk mitigation. Benefit from Blais' extensive experience in implementing data culture across various industries and supporting digital transformation projects for major companies.

Concretes Guidelines to Improve ML Model Quality, Based on Future ISO Certifications