There is no argument that generative AI has enormous potential for the enterprise. Yet, generative AI has a data issue. The good news is that organizations already have the key. Agents and models are useful only when the most important tool is available ... data! With 80% of data being unstructured, it is a business imperative to have both an effective data strategy that covers both structured and unstructured data + solutions that allow for data access, verification, integration, and governance across disparate environments. Hear how business leaders and leading organizations are already putting data to work to improve AI productivity and accuracy.

Speaker: Stephanie Valarezo

Stephanie Valarezo is a Technical Product Leader for IBM Data Integration, including the DataStage and Data Replication product management team. Stephanie is passionate about data and works with enterprises on their strategic data engineering, management, and analysis initiatives. Stephanie has a background in product design, scientific research, and training as a biomedical engineer. She is a collaborative forward thinker with strong communication skills, knowledge of current technology trends in the data integration sphere across industries, and a strong desire to give back to the community through meetups and other volunteer work.