Visit the event website to learn more.
It’s easy to agree that data is the fuel that drives AI innovation. However, traditional AI applications have centered around the technical aspects of developing and managing models. But with the increasing availability of easy-to-use AI software, autoML, and MLOps tools, there is a growing trend toward data-centered AI. This approach puts the spotlight on data readiness, with an emphasis on the adoption of systematic approaches for data preparation and governance Join Carolina Bessega, Chief Product Officer at Stradigi AI, in her presentation Moving towards data-centric AI, even if your data is imperfect, as she shares practical insights on data readiness, including how much data you need to get started, approaches to data processing, and strategies for working with imperfect data.
Visit the event website to learn more.
It’s easy to agree that data is the fuel that drives AI innovation. However, traditional AI applications have centered around the technical aspects of developing and managing models. But with the increasing availability of easy-to-use AI software, autoML, and MLOps tools, there is a growing trend toward data-centered AI. This approach puts the spotlight on data readiness, with an emphasis on the adoption of systematic approaches for data preparation and governance Join Carolina Bessega, Chief Product Officer at Stradigi AI, in her presentation Moving towards data-centric AI, even if your data is imperfect, as she shares practical insights on data readiness, including how much data you need to get started, approaches to data processing, and strategies for working with imperfect data.
