In a recent blog post, Rackspace identified common bottlenecks associated with the implementation of operational artificial intelligence (AI). These challenges include messy data, unclear data ownership, gaps in governance, and the high cost of running AI models once deployed in production.
Rackspace frames these issues through the lens of service delivery, security operations, and cloud modernization, indicating the company's primary focus areas ahead of the AI & Big Data Expo.