In a session at Testμ 2023, Bharath Hemachandran, an experienced Quality Analyst and Principal Consultant at Thoughtworks, presented a comprehensive framework for ensuring quality in Data and AI systems, emphasizing the inadequacy of traditional QA methods in this context. The framework is built on five pillars: data quality, model quality, infrastructure quality, compliance and ethics, and data governance, each crucial for addressing unique challenges posed by AI and ML technologies. Hemachandran highlighted real-world examples, such as Google Flu Trends and the Cambridge Analytica scandal, to illustrate the impact of shortcomings in these areas, advocating for a holistic approach involving stakeholders across roles like developers, QA engineers, and business analysts. He underscored the necessity of adapting to the evolving tech landscape, where roles are expanding to include data professionals, and emphasized the importance of skills in data regulation, compliance, and governance. The session concluded with a call for adaptability and a comprehensive understanding of compliance, ethics, security, and privacy to thrive in the digital age.