Generative AI has captured the attention of IT and business leaders with its ability to analyze data and generate content at scale, promising a revolution in productivity through task automation. However, challenges such as “hallucinations,” data privacy, and security risks have raised concerns about its reliability for critical applications. Extractive AI, as a complementary approach, provides transparency and auditability, making it ideal for regulated industries and knowledge-intensive use cases. Unlocking the full potential of these technologies requires organizations to build strong data foundations. Find out,

• What makes Generative AI both powerful and risky for critical applications.
• Why Extractive AI ensures transparency and reliability in regulated and data-sensitive environments.
• How robust data foundations unlock the full potential of Generative and Extractive AI.