Preparing and Delivering Data for AI Adoption

This research report outlines the trends, requirements, and best practices for preparing and delivering data for artificial intelligence (AI). It emphasizes the importance of responsible AI guidelines that align with corporate strategy and values, highlighting data privacy, security, transparency, and regulatory compliance as key priorities for organizations. The report presents findings from a survey of organizations regarding their AI maturity, revealing that while many are adopting AI, there is a notable lack of focus on data quality and model accuracy. It categorizes organizations into 'AI Leaders' and 'Followers,' noting that AI Leaders tend to meet their business objectives more effectively and demonstrate higher maturity in data governance. The report also discusses challenges faced by organizations, including data privacy and security issues, a shortage of AI skills, and the need for effective data management strategies. It concludes with recommendations for organizations to enhance their AI initiatives through improved data governance and management practices.