SeaStar Quality Conference 2023

In the rapidly evolving landscape of Machine Learning (ML), ensuring model accuracy is paramount as AI/ML becomes accessible to all. Achieving a high level of precision and reliability requires the harmonious collaboration of several key stakeholders within the ML ecosystem. This topic delves into the critical roles that individuals play in ensuring the correctness of ML models, focusing on the responsibilities of data scientists, testers, and more. By understanding the unique contributions of each role, organizations can harness the power of synergy to build ML models that are both accurate and trustworthy.
 
This talk will not only enrich our understanding of AI and our roles within it but also provide a unique perspective on the bridge between the technical and the practical, making it a must-attend event for all.