AI to be used in data centres to predict errors

One of the world’s leading hardware and cloud service providers says that its new artificial intelligence (AI)-based software can predict problems in infrastructure before human engineers can.

Hewlett-Packard Enterprise (HPE) says its platform is capable of running “autonomous data centre environments” thanks to its new software, InfoSight, that uses AI techniques to monitor the status of its data centres.

The technology giant says that its program will mean there is much less guesswork at play when trying to trace the source of reliability and performance issues in both cloud and physical servers, making it easier for operators to maintain them.

Built-in machine learning capabilities that are baked into the software mean that engineers will be able to pre-empt any problems with infrastructure and make sure that resources are deployed as efficiently as possible when ensuring that cloud applications keep running, for example.

A statement released by HPE said: ““Every second, HPE Infosight analyses millions of sensors across the globally connected installed base and uses this data to predict and prevent problems from storage to applications.”

Many industry experts have suggested that AI and machine learning techniques could acutely change the way in which data centres and virtualised computing cores could be run.

Earlier this year Google’s chief scientist of AI and machine learning, Fei-Fei Li, said that developments in both computing areas would create improvement in quality of life the world over.

Bill Philbin, senior vice-president and general manager of HPE storage, says his firm’s software is the first of its kind but concedes that self-managing data centres will be a fixture of most service providers in the future.

He added: “As applications increasingly drive today’s businesses, we need to help customers move toward a self-managing IT model. HPE InfoSight enables IT to spend more time on projects that add value to the business, rather than on troubleshooting issues.”

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