Assessing the Risks and Challenges on the Road to Owning Training Data

Artificial intelligence (AI) applications have an insatiable appetite for consuming data. Today's AI models for business applications are built to ingest massive amounts of complex data sets. The cost of collecting and curating data for training AI models, however, can be staggering. In the context of the Internet of Things (IoT), for example, the costs of deploying sensors and other machinery in a network at a big data scale can be expensive.