ITProPortal: Overcoming the Challenges of Machine Learning Model Deployment
Successful model deployment is fundamental in the AI-driven enterprise
Our societies and economies are in transition to a future shaped by artificial intelligence (AI). To thrive in this coming era companies are transforming themselves by using machine learning, a type of AI that allows software applications to become more accurate in predicting outcomes without being explicitly programmed. This article investigates the role IT professionals play in enabling the AI-driven enterprise through machine learning model deployment.
Imagine your company as an AI-driven enterprise. Embedded in core business processes, hundreds of machine learning models ingest streams of data as the company interacts with customers and suppliers. These models, created by people with a detailed understanding of the company’s operations, serve-up predictions which increase the probability of prospects placing orders, of customers having their service queries effectively answered, and of criminals’ intent on fraud being deflected.
Companies that successfully transform themselves into AI-driven enterprises differentiate themselves from companies that mismanage their embrace of AI in three ways.
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