AI models learn patterns and make predictions by being trained on data, whether from customer transactions, IoT sensor feeds from factory floors or service center call logs. When data is scattered, stale or in incompatible formats, models ingesting those inputs can produce outdated or inaccurate results.
To unlock AI’s full potential and drive value, HPE advises IT leaders to follow a four-step roadmap: synchronize data, automate pipelines, fortify governance and quickly turn inputs into insights. Read on to discover why each step is crucial in building a foundation for enterprise-grade AI, and how HPE can help.