Part 1: Strategies to accelerate AIML at scale From idea to POC and achieve business outcomes (Level 100)

AI and ML hold the promise of transforming industries, increasing efficiencies, and driving innovation. The key to machine learning success is scale. In this session, we cover how executives and managers who are looking to achieve success using ML at scale get guidance including mechanisms to build an effective system to accelerate innovation and drive technological progress. We also share best practices in implementing MLOps and data governance to overcome ML implementation challenges. We explain how customers who have been successful are working with us to align teams in introducing ML, driving ML excitement, and providing developers within their organization the right technical education to achieve business outcomes.

Bernard Leong, Head of Machine Learning and Artificial Intelligence, ASEAN, AWS

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