Covering AWS re:Invent 2017

presented by AWS, Intel

and our ecosystem of partners.

>> Hello and welcome back.

Live here is theCUBE's exclusive coverage here in Las Vegas.

45,000 people attending Amazon Web Services'

AWS re:Invent 2017.

I'm John Furrier with Lisa Martin.

Our next guest is Miles Kingston,

he is the General Manager of the Smart Home Group

at Intel Corporation.

Miles, it's great to have you.

>> Thank you so much for having me here,

I'm really happy to be here.

>> Welcome to theCUBE Alumni Club. First time on.

All the benefits you get as being an Alumni

is to come back again.

>> Can't wait, I'll be here next year, for sure.

>> Certainly, you are running a new business for Intel,

I'd like to get some details on that,

because smart homes.

We were at the Samsung Developer Conference,

we saw smart fridge, smart living room.

So we're starting to see this become a reality,

for the CES, every 10 years, that's smart living room.

So finally, with cloud and all of the computing power,

it's arrived or has it?

>> I believe we're almost there.

I think the technology has finally advanced enough

and there is so much data available now that

you have this combination of this technology

that can analyze all of this data

and truly start doing some of the artificial intelligence

that will help you make your home smarter.

>> And we've certainly seen the growth of Siri with Apple,

Alexa for the home with Amazon, just really go crazy.

In fact, during the Industry Day, yesterday,

you saw the repeat session most attended

by developers, was Alexa.

So Alexa's got the minds

and has captured the imagination of the developers.

Where does it go from here and what is the difference

between a smart home and a connected home?

Can you just take a minute to explain

and set the table on that?

>> Yeah and I agree, the voice capability in the home,

it's absolutely foundational.

I think I saw a recent statistic that by 2022,

55% of US households are expected to have a

smart speaker type device in their home.

So that's a massive percentage.

So I think, if you look in the industry,

connected home and smart home,

they're often use synonymously.

We personally look at it as an evolution.

And so what I mean by that is, today,

we think the home is extremely connected.

If I talk about my house,

and I'm a total geek about this stuff,

I've got 60 devices connected to an access point,

I've got another 60 devices connected to an IOT hub.

My home does not feel very smart.

It's crazy connected, I can turn on lights on and off,

sprinklers on and off, it's not yet smart.

What we're really focused on at Intel,

is accelerating that transition for your home

to truly become a smart home and not just a connected home.

>> And software is a key part of it, and I've seen

developers attack this area very nicely.

At the same time, the surface area with these Smart Homes

for security issues, hackers.

Cause WiFi is, you can run a process on,

these are computers.

So how does security fit into all of this?

>> Yeah, security is huge and so at Intel we're

focused on four technology pillars,

which we'll get through during this discussion.

One of the first ones is connectivity, and we actually

have technology that goes into a WiFi access point,

the actual silicon.

It's optimized for many clients to be in the home,

and also, we've partnered with companies, like McAfee,

on security software that will sit on top of that.

That will actually manage all of the connected devices

in your home, as that extra layer of security.

So we fundamentally agree that the security is paramount.

>> One of the things that I saw on the website that says,

Intel is taking a radically different approach

based on proactive research into ways to increase

smart home adoption.

What makes Intel's approach radically different?

>> Yeah, so I'm glad that you asked that.

We've spent years going into thousands of consumers'

homes in North America, Western Europe, China, etc.

To truly understand some of the pain points

they were experiencing.

From that, we basically, gave all this information

to our architects and we really synthesized it

into what areas we need to advance technology

to enable some of these richer use cases.

So we're really working on those foundational

building blocks and so those four ones I mentioned

earlier, connectivity, that one is paramount.

You know, if you want to add 35 to 100 devices in your home,

you better make sure they're all connected, all the time

and that you've got good bandwidth between them.

The second technology was voice, and it's not just voice

in one place in your home, it's voice throughout your home.

You don't want to have to run to the kitchen to

turn your bedroom lights on.

And then, vision.

You know, making sure your home has the ability to see more.

It could be cameras, could be motion sensors,

it could be vision sensors.

And then this last one is this local intelligence.

This artificial intelligence.

So the unique approach that Intel is taking

is across all of our assets.

In the data center, in our artificial intelligence

organization, in our new technology organization,

our IOT organization, in our client computing group.

We're taking all of these assets

and investing them in those four pillars

and kind of really delivering unique solutions,

and there's actually a couple of them that

have been on display this week so far.

>> How about DeepLens?

That certainly was an awesome keynote point,

and the device that Andy introduced

is essentially a wireless device, that is basically

that machine learning an AI in it.

And that is awesome, because it's also an IOT device,

it's got so much versatility to it.

What's behind that?

Can you give some color to DeepLens?

What does it mean for people?

>> So, we're really excited about that one.

We partnered with Amazon at AWS on that for quite some time.

So, just a reminder to everybody,

that is the first Deep Learning enabled wireless camera.

And what we're helped do in that,

is it's got an Intel Atom processor inside that

actually runs the vision processing workload.

We also contributed a Deep Learning toolkit,

kind of a software middleware layer,

and we've also got the Intel Compute Library

for deep neural networks.

So basically, a lot of preconfigured algorithms

that developers can use.

The bigger thing, though, is when I talked about those

four technology pillars; the vision pillar,

as well as the artificial intelligence pillar,

this is a proof point of exactly that.

Running an instance of the AWS service on a local device

in the home to do this computer vision.

>> When will that device be available?

And what's the price point?

Can we get our hands on one?

And how are people going to be getting this?

>> Yeah, so what was announced during the keynote today

is that there are actually some Deep Learning

workshops today, here at re:Invent

where they're actually being given away,

and then actually as soon as the announcement

was made during the keynote today,

they're actually available for pre-order on

Amazon.com right now.

I'm not actually sure on the shipping date on Amazon,

but anybody can go and check.

>> Jeff Frick, go get one of those quickly.

Order it, put my credit card down.

>> Miles: Yes, please do.

>> Well, that's super exciting and now,

where's the impact in that?

Because it seems like it could be a great IOT device.

It seems like it would be a fun consumer device.

Where do you guys see the use cases for these developing?

>> So the reason I'm excited about this one,

is I fundamentally believe that vision

is going to enable some richer use cases.

The only way we're going to get those though,

is if you get these brilliant developers

getting their hands on the hardware,

with someone like Amazon, who's made all

of the machine learning, and the cloud

and all of the pieces easier.

It's now going to make it very easy for thousands,

ideally, hundreds of thousands of developers

to start working on this,

so they can enable these new use cases.

>> The pace of innovation that AWS has set,

it's palpable here, we hear it, we feel it.

This is a relatively new business unit for Intel.

You announced this, about a year ago at re:Invent 2016?

Are you trying to match the accelerated pace

of innovation that AWS has?

And what do you see going on in the next 12 months?

Where do you think we'll be 12 months from now?

>> Yeah, so I think we're definitely trying to

be a fantastic technology partner for Amazon.

One of the things we have since last re:Invent

is we announced we were going to do some reference designs

and developer kits to help get Alexa everywhere.

So during this trade show, actually,

we are holding, I can't remember the exact number,

but many workshops, where we are providing the participants

with a Speech Enabling Developer toolkit.

And basically, what this is, is it's got an Intel

platform, with Intel's dual DSP on it, a microarray,

and it's paired with Raspberry Pi.

So basically, this will allow anybody who already

makes a product, it will allow them to easily integrate

Alexa into that product with Intel inside.

Which is perfect for us.

>> So obviously, we're super excited, we love the cloud.

I'm kind of a fanboy of the cloud, being a developer

in my old days, but the resources that you get

out of the cloud are amazing.

But now when you start looking at these devices

like DeepLens, the possibilities are limitless.

So it's really interesting.

The question I have for you is,

you know, we had Tom Siebel on earlier, pioneer,

invented the CRM category.

He's now the CEO of C3 IOT, and I asked him,

why are you doing a startup, you're a billionaire.

You're rich, you don't need to do it.

He goes, "I'm a computer guy, I love doing this."

He's an entrepreneur at heart.

But he said something interesting,

he said that the two waves that he surfs,

they call him a big time surfer,

he's hanging 10 on the waves, is IOT and AI.

This is an opportunity for you guys

to reimagine the smart home.

How important is the IOT trend and the AI trend

for really doing it right with smart home,

and whatever we're calling it.

There's an opportunity there.

How are you guys viewing that vision?

What progress points have you identified at Intel,

to kind of, check?

>> Completely agree.

For me, AI really is the key turning point here.