Train, tune and distribute models with generative AI and machine learning capabilities
Join us in the fifth series of fundamental concepts in data science, machine learning and AI.
In this webinar, we will focus on one specific aspect of the data science lifecycle: Data requirements. The data available in an enterprise may not be enough to create a model to solve our business problem. What data may we need and where can we find it? The webinar will include a demo on how we can search for some of this data.
There will also be a Q&A session - come with questions!
Jacques Roy is a member of IBM's Digital Technical Engagement team focusing on machine learning and AI. He is also the author of multiple articles and books on subjects such as database extensibility and streaming analytics. His experience in developing learning material makes him a great resource in explaining complex concepts and technologies in simple terms.To view the webcast replay please register HERE