How A.I. Can Help Optimize Cloud Environments

Once the stuff of science fiction and the predictions of futurists, artificial intelligence (A.I.) has emerged as one of the fastest-growing fields, with the market for A.I. services expecting to top $30 billion by 2025. This massive surge in A.I. services grew seemingly in tandem with the rise of the cloud which provided, no pun intended, learning opportunities for A.I. companies to refine their machine-learning services.

With its deep roots in the cloud, A.I. services are finding a particular niche in improving the infrastructure and their cloud environments. Integrating A.I. functionalities into a cloud service early-on provides a massive head start for the machine learning functions, allowing it to learn the intricacies of the cloud environment via long term observation. From there, the A.I. service can be focused to optimize a particular business task, such as providing the resources to handle massive surges in traffic or sift for learnings in data lakes. This can provide a variety of real-time uses cases that directly impact customers. Netflix has found incredible value in this, as A.I. not only keeps track of their resource spend as they deliver billions of hours of content each year, but also powers the Recommendation Engine that provides many Netflix customers with their soon-to-be favorite shows.

Learn more about how A.I. can optimize cloud environments on sys-con.com.

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  • Integrating A.I. functionalities into a cloud service early-on provides a massive head start for the machine learning functions, allowing it to learn the intricacies of the cloud environment via long term observation.

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