The Promise of IoT & AI from Microsoft Chief Storyteller Steve Clayton

[Applause] we were recently treated to a story within Microsoft which was satis book hit refresh it hit the shelves in September 2017 within his book he talks about AI as being a core component of Microsoft's future and vision could you talk to us a little bit about that and what that means to Microsoft yeah I think in the book there was a chapter six of the book was called beyond the cloud and such it touched on three technology trends that he thinks or we think as a company are going to change the landscape of of all livelihoods frankly of the industry but also just of society and it was a I mixed reality in quantum an AI is probably the most near-term one of those in some ways that it's it's probably the hottest topic in the technology industry right now but ironically it's been around for about 50 years but over the last three or four years three things have come together which is the combination of big data coming from all of these devices that we have out of there all of these sensors all of these pcs phones and she's just throwing up huge amounts of data you combine that with the cloud almost infinite compute capability and then that combined with some very recent breakthroughs and some algorithms around AI in particular a field of machine learning and in particular the machine learning I feel called deep neural networks and all of that has led to some massive breakthroughs in how computers can start to see here understand and recognize the world in the same way that humans do could you talk to us a little bit about a eyes interoperability with IOT how are these things connected yeah I think that in many ways is almost one of the hottest topics in AI right now and even recently you know we made some announcements around how we are put in AI capabilities right down into the edge Satya back at our developer conference last year bill talked about the evolving world view of Microsoft were previously we talked about mobile-first cloud-first and we evolved that to talk about the intelligent cloud and the intelligence the edge and that was specifically talking to this notion of we now have these billions of sensors out in all kinds of different environments whether it's literally out in a farmer's field or whether it's on an oil rig or whether it's on devices in in a hospital medical type devices increasingly all of these devices have you capability and enough compute capability to be able to do artificial intelligence so that is going to become a very important trend around AI machine learning which may be for the last few years has been in the cloud is now moving out to the edge onto these IOT devices on could you give a couple of examples as to how AI enabled IOT is transforming industries I think a great one is farming we have a project here at Microsoft called farm beats and what that looks to do is if you think about a typical farm environment it's a very it's a it's a big landscape literally a big landscape and what the farmers are interested in is how can they get more precise in fact they call it precision agriculture and they think about how can I get information about the soil temperature the soil density moisture all of that information is vital information for them to think about when do I plant crops when do I you know change my rotation of my crops in my field increasingly what farmers are doing is they're getting that information from sensors IOT centers that they put out into the field now that isn't an environment where you have a often have a consistent connectivity to the cloud and so you want to be able to do some of that computing right down on the sensors sometimes be able to store that on the sensors in a world where you might have limited connectivity or a world where you might have you know spotty or sporadic and activity so that's driving this need to say instead of having to have sensors out in a field that are constantly connected to the cloud to do your AI compute in the cloud is to say literally how do we do AI in this case quite literally down in the field so given all of the advancements that will be coming and here already with machine learning AI and IOT how is Microsoft safeguarding the future of employment skills capabilities for the next wave of innovators who will come into the job market I think it's definitely a concern that out there I think that there is you know a growing conversation around what what does AI mean in terms of water my automation and automation often leads to you know job loss or job displacement and so I think it's incumbent upon you know technology leaders like ourselves and others in the industry in combination with you know with governments and with other institutions to say there's a process we're going to need to go through that often happens with these technology revolutions that we've seen over you know decades and hundreds of years whenever there is a technology revolution some rules get displaced but also completely new roles get created you know rolls around how do we look at bias inside of AI so literally there going to be new jobs that are created that we've never even thought of around AI so really I think the the the job to do is to recognize that there will be some job displacement that there is going to be a need for retraining and there's huge opportunity in AI and there going to be a whole set of new jobs that we can't even think about right now that are going to emerge over the next three to five years within Microsoft what can we expect to see within the next six months to a year when we think about AI enabled IOT and the developments that will be bringing to market it really goes back to the mission of the company to empower every person or organization on the planet to achieve more so how do we put this capability in the hands of everybody not just in developed nations not in you know in large farming environments if I go back to farming you know in we looked at that technology and have deployed it actually into you know small farms in India where there's you know much less capability much less connectivity and so I think really the ambition there is how do we you know take this amazing capability of IOT of AI of the cloud and continue to drive down the cost you

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