 Thanks René. Good morning everyone, how are you? Excellent. Well, welcome to day two. Thanks for joining us here today. Thanks for joining us at TechCon. Again, great event. I was really pleased with how yesterday went. I thought we had a great day. Talking about a lot of exciting stuff. Of course, we launched some new products yesterday. I'll talk a little bit more about that. Great presentations. It was good to have Massa here on stage. Mike gave, as usual, a very entertaining presentation about his own personal life and how these various animals are sniffing him to try and work out what's going to go on in his body over time. He actually pays extra for that, I've got to say. And, you know, we've heard a lot about technology. Great technical papers yesterday. Really strong lineup contributed by all of you. So thank you for that. And you also got to hear from a Meet My New Boss yesterday. It was great to have him with us and have him here on stage to talk about his vision of the future and why ARM was so important for that. Now, when I introduced Massa yesterday, I talked about how excited I am about ARM's future and how excited I am to partner with him. He is a fascinating guy who thinks in the biggest terms possible and it's a very exciting time to be in ARM and I think to be part of the ARM partnership. You heard yesterday about some of the technologies you might talk about where things are going generally. You just heard from Jim about computer vision. You heard from Greg yesterday talking about Moore's Law and some of the challenges in just making transistors ever, ever smaller and higher performance. So great technologies and we're committed to delivering those technologies. But really what they are when you think about that is the building blocks that other people are going to innovate around. Jim just mentioned that right now. We have all of these different components that can be put together on a chip. They are tools, they are building blocks for others to go and innovate with. Others, i.e. all of you hopefully here today, you're going to take those things that we do and create something really spectacular with them. So our job is to work on those building blocks, those tools and to deliver them to you, to put those tools in your hands so you can innovate and build even more phenomenal products than the kind of thing that we have today. So that's what makes my job fascinating. It's as much as I love the individual technology components that we're building is seeing what other people do with them and seeing how new products emerge. That's the really fascinating part. And as well as building the technology itself, it's enabling access to it, enabling higher and higher performance at lower and lower cost. That is really what enables innovation to thrive. And we're seeing that impact many, many different end markets. Now I think this phenomena is summed up really well here in this quote. Lots of people have talked about this phenomena. Now this quote is from Helen Mirren. Helen Mirren is an actor, one of the most famous actors from the UK famous for playing the Queen in a movie called The Queen. And you may be thinking, well, what's something like that doing thing about technology? Well, she was at an event where she was asked, you know, what's technology going to do in your sort of line of work? And she's talking here about the lower barriers to access, drive innovation, and that is in itself a phenomenal thing to see. And this demonstrates, again, how the combination of technology and other industries come together to create innovation. And we see this all the time. You look at the, yeah, Jen mentioned the volume of data that gets uploaded to YouTube. That's user-generated content, which 20 years ago would have been nigh on impossible to do. We're seeing in lots of areas, this example of technology in the arts coming together. We see smartphone-recorded footage as commonplace on the news every night. And we see it in music as well. That clip of music that was playing as I walked on is an example of electronic dance music that's being created today by thousands of thousands of people all over the world. And when I grew up, synthesizers were starting to become commonplace in the creation of music. But if you wanted to make something like that, you needed lots of them, you needed expensive equipment, you needed a recording studio. And that was, frankly, out of the range of most people. And that particular clip was made by my son, who's 11. And he did that with nothing more than his laptop and some headphones. Fortunately with the headphones, because he makes a lot of noise doing it. Now, I don't know if he's going to become the next Calvin Harris, but I think it's quite phenomenal that a teenager, well, not even a teenager in his bedroom can create music and we're seeing that become a really driving force in innovation in the music industry. So it's happening all over the place. And what we're seeing through arms history is how the successive waves of computing, the successive waves of new technologies make it more and more accessible for people and computing gets closer and closer to people. We've seen it with the rise of PCs, we've absolutely seen it in spades with the growth of smartphones and we're now seeing it with the growth of the internet of things. So each successive wave of technology brings it closer to people and it creates more and more opportunities on a global scale. As well as the computing getting better, it's also becoming invisible. Now, when I went to university, if you wanted to use a computer, you really knew you were using a computer. It was a big thing. You maybe had a break time on it, book time, going to an air-conditioned room that some guy in a suit would be looking over your shoulder the whole time. What we're seeing now is computers are everywhere and the internet of things is going to take computing on a global basis and provide more opportunity for more people. So the opportunities are increasing, opportunities for innovation and entrepreneurialism. So I believe that the internet of things is going to create an enormous impact. It's going to create, I believe, more impact than everything else that's gone in computing before. So in ARM, we spend a lot of time thinking about IoT and what it's doing and how it's progressing. So in analysing this, we've talked to a lot of people, but we thought we'd go out and actually get some data. And this is a work that started more than three years ago now. The internet of things is relatively new still. It's in its infancy. There's still a lot of hype around it. I get comments to me all the time, are we always going to be five years away from the internet of things? So this gathering of data is helping us plot a course and see where we are. As I said, we studied this three years ago, and if you came to TechCon in 2013, you'd have seen me talk about this piece of work, a work study that we commissioned in partnership with the Economist Intelligence Unit, where we went out and we surveyed companies around the world. We went to talk to 750 different companies to ask them what they thought about IoT, where they were in their development of this technology, how they thought it was going to impact their business. So at the time, three years ago, IoT very, very new. So presented the results, stood on this stage three years ago, and one of the key things that came out of it was there was a lot more going on than anybody actually thought. One of the key statistics that came out of the report was this one. The 750 companies that we spoke to, 95% of them expected that IoT, that they would be using IoT in their business within three years. So here we are three years later, 2016. What do you think happened? Do you think 95% of companies are using IoT today? I'm not hearing lots of positive, overwhelming answers out of the audience here. So we've just repeated this survey to go and ask largely the same questions. We went to talk to another 750 companies, and what we found of those 750, 75% of companies are being impacted in some way by IoT. Now, I don't think that's bad. 95% of companies thought they would. Actually, 75% of companies are. If you've got a de-factor for hyper-newness, I think that's not a bad result. When you look into it, though, what you see is less than half of those companies that are being impacted by IoT have they had a significant impact? For the other companies, it's kind of minor so far. So that's not bad progress, I think. So what's going on? Why is it that all companies aren't using IoT? What are the barriers to it? There's lots of questions in this report, and you'll get to see that. The study does a breakdown of some of the statistics, and these are the key areas that people cite as barriers to the adoption of IoT. Security, unsurprisingly, and if you've been following the news recently, very unsurprising, is highlighted as a barrier to the adoption of IoT. That 26% of companies say that that is an issue for them. Cost is another issue. How do you create this end-to-end system? How much of this stuff have I got to do myself? Because there are great tools out there to help me. Now, these two factors, security and cost, are absolutely what we're trying to address with the technologies that we launched yesterday. Mbed Cloud is there to help with both security and cost. The innovations that we're providing at the IP level to enable you to build secure devices are absolutely there to help with both cost and, of course, security. So, you know, we're trying to work on that. Knowledge is an interesting one. Three years ago, the study highlighted a skills gap. People concerned about access to the right people with the right skills to help them develop IoT. Here, the category of people where the knowledge was at question was actually senior management. Senior management. You know what they're like. I mean, what do they know? Now, if you're thinking, yeah, my boss actually knows one end of a server from a sensor, then, you know, we can help. Again, we know our product for that person. But if him or her needs help understanding what IoT is all about, then haven't come to this event, have them come to other events that many others in the industry are putting on to enable transfer of knowledge and learning about IoT. Because I think it's a technology that can positively impact every business. Now, this is a taster of the data. The full report will be out in a month or so. We'll publicize that. We'll be able to download it. And again, leave hard copies on the desk of your boss. You know, help with that knowledge transfer. Help play a role in getting people up the learning curve. So this report's great. I want to thank the economists and also IBM who we partnered with to put this together will make the data available soon. So it's good progress and I think this is very exciting. Mike mentioned this yesterday but our own journey in IoT goes back to about 2001 and it wasn't about wearables or tracking health, anything like that. It was about toast. And Mike mentioned this yesterday in his presentation back in 2001. He was out trawling for interesting people doing interesting things as he does. He came across some university researchers making what then was called an internet appliance to print the weather on your toast in the morning. That was interesting. It was a bit of fun at the time. But it did inspire an R&D project within ARM not to focus on the problems of toast but more crucial to the innovation process and that is coffee. So the team had one of these nice little coffee machines with the capsules and the problem was how do you track how many capsules are being used and when to reorder and can we automatically reorder the capsules when they're running out? So being a bunch of clever people they knocked up some electronics, some web-based software to track the use of coffee in the R&D lab. Now if you were here two years ago, 2014 Mike described this journey and how it's led us to what we announced yesterday with Embed Cloud. You want a device, you want it to measure something, you want to track data in the cloud, that sounds really simple. But when you get into the complexities of securing it and making it easy so that everyone can build products not necessarily like this but leverage the full capabilities of IoT there's a ton of stuff, a ton of detail that you need to work out and Embed Cloud is there to help solve some of the foundational problems against so that others can then go and wait on top. Now continuing this journey through Tecon if you were here last year you will know that toast or rather toasting was a central theme of my keynote but not on purpose. If you were here last year you may remember right in the middle of my presentation I hit click on the clicker and the fire alarms went off. Now fire alarms are pretty simple things they detect a problem they make a lot of noise everybody leaves the fire department turns up and works out if there's a real problem or not and if you were here I want to thank you all for diligently leaving the room in a very orderly way and also thank you for coming back afterwards when we did get the all clear. It turned out that somebody had left a bagel in a toaster and walked away from it and the fire alarm of course assumed the worst. Now these things do happen but like I say the technology is pretty simple and maybe using some of that computer vision technology that Jen was just talking about we can have something a bit more sophisticated in a high-risk area like a kitchen having a camera look at what's going on assess how much risk there is assess whether somebody has just walked away from the toaster these are ways in which we can make security and safety systems more intelligent by just analyzing what the camera is looking at not just streaming video into the cloud in a dumb way but actually analyzing the scene and looking for anomalies and then taking steps as a result of that then you could also argue well a smarter toaster might not burn it in the first place or a smarter human wouldn't have left the bagel in the toaster and just walked away but things like this happen unexpected events do happen and I think intelligent technology can help us deal with this in a quick and safe way but we're only going to do that with a full end-to-end system now what the report shows that we've just done with the economist and IBM is that industry really is serious about adopting IoT three years ago when we first did this it was unclear exactly how this was going to pan out but when I look at that report when I look at the responses to some of the questions it is clear that industry is very very serious about this whether it's bagels and toasters or coffee or healthcare or agriculture the benefits of IoT come from putting an end-to-end system together device, network getting the right information into the cloud analyzing it in the right way pairing it with other data combining that together getting some insight and some knowledge but to deliver that end-to-end system is still going to require a lot of innovation it's going to require innovation in devices in the network, in the cloud in the algorithms that run on top of this and I think that innovation is still very alive and well and absolutely necessary so I think as an industry we don't really know what it's going to take to put a trillion devices onto the internet and you think of it, a trillion devices that is a lot, that's going to generate a lot of data as we've seen from some of the projections and how we're going to deal with that through the network how we're going to deal with storing it how we're going to deal with analyzing it this is uncharted territory for the industry and it's going to require a lot of innovation so we're on this in terms of those foundational elements those building blocks, those tools and we're going to need the whole industry to work together to solve some of these these problems so what we're seeing right now Massa talks about this camera in explosion we are seeing we're in this space we're not post-camry and we are in it right now where there's a lot of experimentation going on because access to the key building blocks is really low cost and that experimentation is great we're seeing it in lots of different areas it's driving a lot of potential here's an example of some of that experimentation I came across a couple of weeks ago you may have seen this this is a collaboration going on between Google and Chipotle the burrito food chain who are trying to solve the problem of how you deliver burritos with drones they're working on the campus of Virginia Tech to deliver burritos to students now you may think this is the most first world problem you could possibly think of but it isn't really about feeding students it's about how to solve the issues associated with delivering things rapidly especially something that was hot when it left the kitchen and the recipient was still like to be hot when it gets there so a lot of issues associated with that and they're using drones to do it interesting experiment and it's going to necessitate a lot of innovation in the capabilities of the whole system and in particular the drones there's going to be capabilities beyond the kind of low cost stuff you can buy today I was in fries at the weekend buying some cables and I kind of took a stroll down the drone aisle which is quite long and you can pay 30 bucks for a drone you can pay a thousand dollars for a drone I mean there's a ton of them out there relatively simple devices to do this kind of thing is going to require innovation I think drones are pretty cool I don't spend a lot of time playing around with them myself but I think they hold a lot of promise as a disruptive technology the kind of drones you see today are largely recreational they're not being used that much in commercial applications because the military are big on them but the regulations around using drones for commercial purposes are being relaxed just over the summer the FAA enacted some new rules which relaxed the restrictions you can now fly a commercial drone up to 100 miles an hour that's a lot faster than you can legally drive a car on the road around here you don't have to have a pilot's license anymore there's an easier way of becoming a pilot of one of these things but you still need to fly it within line of sight it will probably change over time they're letting people experiment with that issuing waivers to people and ultimately I think we will get to the point where drones are being used in many many applications and of course delivery being one of them but when you get to that point where drones really are truly autonomous and flying around out of line of sight of somebody ultimately controlling it drones go from being this kind of recreational thing a remote controlled toy let's face it a system that's going to require a ton of intelligence in it in order to operate and operate safely it's going to need to operate online, offline, be connected to a network be connected to a person cameras, the whole thing it's going to need a lot more computing within it if you do go and buy one of those drones in fries right now and take it apart you're going to find that there's a microcontroller in there and there are hundreds of drones out there Cortex-M3, Cortex-M4 running the algorithms that are looking at the accelerometers balancing the thing communicating with the smartphone or controller over some form of RF so it's complex the algorithms are pretty impressive keeping people in everything but it's a relatively simple device from a computing standpoint so to get to fully autonomous that's going to have to change the drone of tomorrow is going to need much more it's going to need to run a much more sophisticated software stack it's going to need to download maps into it as it's flying around it's going to need to talk to a network it's going to need to augment what it's told in advance of the location it's going to with what it can detect in its surroundings itself and to do that it's going to need a lot of sensors in it and probably cameras to look at what's going on and require a lot more sophisticated software running AI type algorithms to make sense of everything and operate in a safe way and then communicate back into the cloud what it's just done what it's seen so that the next drone that comes along has got an even better sense of the environment that it's flying into so a lot of ways in which the capability of drones and the computing power in drones is going to need to increase of course that runs off of battery so it's got to be low power you're going to see those improvements that are made spill over into other applications all of that learning is going to benefit other applications and self-driving cars is a great example because the challenges of drones are very similar to the challenges of making a car self-driving which you've got to worry about three dimensions with a drone but a lot of the basic algorithms you've got to solve are very very similar so in all of this it's critical we see computer vision as critical and that's why we're increasing our investment in this area we think that sensing and autonomy are going to be key capabilities for the internet of things generally and we're going to see those and drones and cars of course see lots of other applications as well let's take agriculture for a moment I think IoT can have huge benefits in the improvement of agriculture as this planet gets older more middle class there's going to be enormous strains on just feeding everyone and using water efficiently and IoT sensors are going to help with that but driving cost down so food ends up on our tables at low cost is also important and so autonomous vehicles being used to gather crops are going to become really important now some advances are happening there already and we're starting to see that and we're seeing in other use cases too anywhere where it's maybe remote it's dangerous like an oil rig or a big open pit mine we're starting to see autonomous vehicles and they've all got the same problems they need to sense what's going on detect the unexpected and make a very intelligent response as a result of everything that they're seeing so to get to this point where these objects can be truly autonomous and totally safe at the same time it's going to require a lot of advance a lot of innovation and we're not going to wake up one day and suddenly find that all the cars on the road of Santa Clara and San Jose are suddenly driving themselves around it's going to require a continuous development of technology a continuous step of advances in technology to get there so this concept of continual small breakthroughs has been entirely through ARMS history if I take you back about 20 years or so we announced a product called ARMS7 TDMI maybe many of you have used that in their design you've probably all used it in their product as it ended up in virtually every cell phone back in the 90s but when we developed that we were looking at a couple of specific problems that we were trying to solve digital cell phones were just coming about they had more sophisticated software so they wanted a high performance 32 bit processor but when you compile the code the binary ended up being really big so you needed a lot of memory system cost went up we came up with a way of compressing the code to get the system cost back down we also needed to debug the system and we found a way of abusing the JTAG interface on a chip to serially get data in and out and make debugging an embedded processor just like what it was when processors were standalone chips that plugged into circuit boards when I was at university if you wanted to debug a processor system you had an in-circuit emulator it's box about the size of a filing cabinet you could take the chip out, plug this thing in and tap away on it we can't do that clearly if a processor is embedded and that's where a lot of stuff and we've made announcements this week about improvements in debug a constant theme for us so these were two things that were seemed kind of relatively small at the time but through our history we're actually part of a succession of developments of technology a succession that has led to just an explosion of embedded devices and the ability to put an embedded computer anywhere and everywhere and that is making a huge impact now we need to keep that going we're totally aware of that and that is why we are doubling down on our technology investment when I look through just this year over the year to date and look at the products that we've launched as a result of R&D that's been going on for many years I think we've delivered amongst the most comprehensive line-up of technology in the first 10 months of this year that we ever have new platform for advanced mobile devices real-time processors for autonomous vehicles new embedded processors and of course, embed cloud so we're working on accelerating this roadmap as we talked about yesterday and one of the areas particularly we're working on is security because I think security is one of the biggest issues that we face as an industry and you only have to look at that recent news I was working on this presentation on Friday and it pops up this news story about the DNS server in the US being taken down by a denial of service attack and what was interesting about that was it wasn't PCs being taken over to do this it was IoT devices it was devices in the home that had next to no security in them that had been hijacked to perform this attack and that's a pretty scary thing and really does bring home the advance that has to go on in making IoT devices secure so a lot of challenges that we face as an industry and I think one of the best ways to really explore the security strengths and weaknesses of your product if you're working on anything that requires some degree of security is to go and hire somebody external go and hire a hacker to test your product I can tell you, your team will tell you it's brilliant, go and get somebody else external to try and break it and they'll probably find some issues there now we we're kind of exploring this theme further this week and tomorrow we have Charlie Miller up on stage giving a keynote, he's the guy that infamously hacked the jeep, took over the breaking system while it's being driven, pretty terrifying so he's going to talk about that so I think security, big, big issue we're investing a lot in that it's a very broad technology and it's one that has horizontal applications, we need a technology security solution for all types of products so it's a horizontal it's something that impacts everything and to get to these horizontal solutions often requires focusing on vertical and within our we drive a lot of our technology development around specific verticals and we're going to continue to do that so we're going to continue to work on mobile where making processes high performance and small and low power and integrating video and graphics and imaging, all of those things going into other applications if your TV is a smart TV, then almost certainly the processor that's in it started out life in a mobile phone mobile is going to continue to drive technology we're going to drive around infrastructure to deliver next generation networking and cloud service because that drives a lot of performance and of course we're going to drive IoT that drives ultra low cost, tiny tiny processors radio communication and drives solutions around this distributed security problem that I was talking about so these are the building blocks that we're working on and ways in which we're going about delivering them and what that's going to lead to is a continuation of this Cambrian explosion of devices what kind of devices, I don't know if you've got some spare time what I'd like, is this my I operate off my smartphone constantly there are times when I need some bigger screen real estate so if any of you could this up in the next couple of months I would appreciate that but whether it is this whether it is something else whatever you choose to work on we're committed to delivering those building blocks, it all comes from the tools and the building blocks that everybody else can go and innovate around we're going to make them better, lower power higher performance, continue to work on driving cost out to enable innovation so we are committed to continuing our role in the evolution of all of this technology we're committed to our business model based around partnership and committed to increasing the investment in our R&D to deliver more technology and to deliver it sooner we're committed to partnering with all of you in the industry because it is some of the parts that makes everything so phenomenal, we've got great products today but there is so much more we can do together in the future so Arm and the last couple of months might have changed hands, we may have a new owner but you heard it from me today you heard it from Massey yesterday together we are committed to continuing the great work that we've done over the last 25 years continuing to work with you so that jointly we can deliver the technology of the future Thank you so much