How to Build an Enterprise Platform for AI WorkloadsJohn McCarthy Stage
AI technology is increasingly establishing itself as an important pillar of digitization in enterprises and public administration. Often, AI is reduced to the training of algorithms, but for enterprise use, the entire process of developing an AI application must be supported. This includes data provisioning, data preparation, training and inference. It is recommended to use a flexible and agile Enterprise AI platform (container-based, K8S), which can be used in your own data center, as a hybrid solution or only in the cloud. This session shows how to plan and build a platform for AI workloads.
Cédric Villani, Mathematician - member of the Academy of Sciences - 1st vice-president of the Parliamentary Office For Scientific and Technological Assessment (OPECST) – Member of Parliament Fields Medal,