Is Data Management the Secret to Generative AI?

The video is about generative AI (Gen AI) and how data management is critical to its success.

The speakers, Luv Aggarwall from IBM Watson and Edward Calvesbeq from IBM Watson X discuss how Gen AI can be used to improve business and the importance of high quality data to train these models. They talk about the challenges of data management and how to overcome them.

One key point is that Gen AI can be used to analyze large amounts of data, including unstructured data, to find patterns and relationships that would be difficult for humans to see. This can be used to improve business processes, develop new products and services, and gain a competitive advantage.

Another important point is that data management is essential for successful Gen AI implementation. Companies need to have a plan for how they will collect, store, and curate their data. They also need to make sure that their data is secure and governed properly.

The video concludes by discussing the role of open source technology in the evolution of Gen AI. Open source can help to ensure that Gen AI is transparent, secure, and aligned with the interests of the broader community.