The relationship between AI (artificial intelligence) and data is fundamentally symbiotic and inseparable. Data serves as the cornerstone of AI development, right from initial model training and dataset curation to validation and performance optimization. Once deployed, AI models enable organizations to generate actionable insights and data-driven predictions that directly impact business outcomes and unlock significant value across operational domains.
However, the path from raw data to transformative AI capabilities for any organization presents considerable complexities and challenges. With the understanding that data underpins any AI capability, IT organizations must develop a comprehensive understanding of their data landscape through the strategic lens of key business drivers. This perspective is essential for organizations seeking to successfully navigate their AI transformation journey and realize sustainable competitive advantages in an increasingly data-driven marketplace.
Find out more in our latest Point of View here: Importance of Data for an AI aspiring organization
