No bespoke AIs without Data Lifecycle Management
Managing the lifecycle of the data sources that underpin bespoke AIs is not optional. Data Lifecycle Management (DLM) is the only way such systems can remain relevant, trustworthy and cost-effective beyond proof-of-concept (POC) experiments.
Managing the lifecycle of the data sources that underpin bespoke AIs is not optional. Data Lifecycle Management (DLM) is the only way such systems can remain relevant, trustworthy and cost-effective beyond proof-of-concept (POC) experiments.