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Meg Whitman tells IT leaders everything they need to know about HP Enterprise

John Gallant | April 7, 2016
In this installment of the IDG CEO Interview Series, we asked Whitman to talk directly to IT leaders about what the company split means for them as customers, and how HP Enterprise's new innovation agenda will help them transition to private and hybrid cloud.

And then they should look to us for cloud. We are number one now in private cloud. Private cloud is the easy way to get started as you want to cloudify your environment, because private cloud is on-prem, it gives you a 10% to 30% cost advantage versus a traditional data center environment, but you have control. It's a great way for customers to begin this journey to cloud. And then if you think about our cloud system automation tools to orchestrate in a multi-cloud environment, people should look to us for that.

Here's one of the things that is different than what I thought it was going to be. I thought most companies would pick a cloud provider -- [Microsoft] Azure, [VMware] vCloud, Helion, whatever it happened to be -- and they would basically move whatever applications they were going to move to the cloud, they would move to that cloud provider.

That's not what we see out there. People are running multiple instances of cloud, whether it's AWS or Azure or Helion or vCloud, and so they've got a multi-cloud environment orchestration and automation challenge that I think we're uniquely suited to help them with.

Those would be top of my list of things.

I would probably also say Edgeline, which is our new line of servers that is designed to be at the edge. I think it's going to play a real role in IoT, because remember in IoT compute has to be at the edge.

It was interesting, I was in an autonomous driving car in Berlin about two months ago. Have you ever been in an autonomous car?

No. How fearful were you in that situation?

This was sort of frightening, honestly. We had a driver, but he was not driving. The car was driving itself. And it brought home this compute at the edge for me, because think about it. You're driving along in the car and the sensors in the car, 360 degrees, are inputting data instantaneously. Okay, so is that traffic sign a person or is it a fixed object? As the car is changing lanes, is the car in front speeding up or slowing down?

So the data input is huge, and it has to be processed in real time. If you open up the back of one of these driverless cars, basically what they have in the trunk is a baby data center that is processing all this data in real time.

It brought home to me that what we have to do on the edge is we've got to have little baby Composable Infrastructure effectively that can combine server, storage, networking in a converged infrastructure. I think that's a super-exciting opportunity for us and I think we're leading in that.

 

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