Organizations must prioritize data modernization for GenAI success

Organizations are increasingly adopting generative AI (GenAI) to enhance business value, moving beyond initial explorations. Investment in GenAI technologies is expected to drive global IT spending to nearly $6 trillion in the coming year. To successfully implement GenAI, companies must focus on four key areas: modernizing existing data, integrating new quality data, removing biases, and ensuring data visibility. These steps are essential for creating a reliable data foundation that supports effective AI use. Additionally, enhancing AI and data literacy among leadership and teams is crucial. This knowledge will help organizations identify valuable use cases and make informed decisions about AI recommendations, ultimately leading to successful GenAI adoption.