In the ever-evolving landscape of AI and machine learning, organizations are continuously seeking ways to unlock the true potential of data-driven insights. Recently, generative AI, a subset of artificial intelligence that includes systems designed to generate outputs such as images, music, text, or other forms of media based on its training data, has taken the world by storm due to its wide-ranging potential applications.

These applications can include the use of foundation models together with a company’s own data to provide support in customer service, operations, and much more. Vendors are also including generative AI in their products. As companies advance with tools such as generative AI, they will need to support the extraction, loading, and transformation of raw data for model training.

Join TDWI’s Fern Halper, Ph.D., with experts from Fivetran, Google Cloud, and Accenture as they explore how generative AI can be used to:

• Improve data integration by seamlessly extracting, loading, and transforming raw data
• Drive predictive analytics by developing and deploying predictive models that can be used to make better business decisions
• Transform AI strategies by creating a more agile and adaptive approach to AI deployment