Generative AI presents a unique opportunity to propel organizations into the future. By thoughtfully integrating generative AI into an organization's workflow, new levels of creativity, innovation, and customer experiences are unlocked to accelerate industry gains. At the same time, organizations must adopt a responsible and ethical approach to GenAI to harness its potential and mitigate risk.

A comprehensive data strategy requires marrying data, technology and business objectives to achieve desired outcomes. This briefing from WWT explores the importance and foundational components of a sound data strategy, with a special focus on the considerations for Data Mesh versus Data Fabric approaches.

AI's potential is hindered by poor data quality. This briefing reveals how data engineering—architecture, infrastructure and security—can transform fragmented data into a robust foundation for impactful AI models. Learn practical strategies to evaluate, build, and deploy data readiness, avoiding common pitfalls and achieving real business outcomes.