HPE debuts Opportunity Engine for fast AI insights

Using trillions of data points this cloud-based machine learning platform can provide the optimal IT solution in seconds.

data lake

HP Enterprise has announced what it calls the Software Defined Opportunity Engine (SDOE), a cloud-based machine-learning platform that enables partners that sell HPE gear to cut the time to create custom sales proposals from weeks to just 45 seconds.

In a blog post announcing the service, HPE Storage senior vice president and general manager Tom Black said SDOE does away with an outdated IT infrastructure-buying process at a time when digital transformation has never been more critical.

“With our new SDOE tool, customers receive fast, tailored quotes, informed by real-world data based on their own IT environment, to optimize their infrastructure and accelerate their digital transformations,” Black wrote.

SDOE is for both HPE channel partners and customers alike. It takes a snapshot of the customer’s workloads, configuration and usage patterns to generate a quote for the best solution for the customer in under a minute. The old method required multiple visits by resellers or HPE itself to take an inventory and gather usage data on the equipment before finally coming back with an offer. That meant weeks.

SDOE uses HPE InfoSight, HPE’s database which collects system and use information from HPE’s customer installed base to automatically remediate infrastructure issues. InfoSight is primarily for technical support scenarios. Started in 2010, InfoSight has collected 1,250 trillion data points in a data lake that has been built up from HPE customers. Now HPE is using it to move beyond technical support to rapid sales prep.

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