 Thank you. Good morning everyone I've been involved in the embedded system over the past 20 years what I will cover over the next 15 minutes. I'll give you an overview of the intelligence edge some of the trends macro trends economic trends some of the challenges the barriers and And what the industry is doing to take advantage of this opportunity I'll start though with giving you our view of what IOT is and what embedded edges It's a movement where familiar devices will be able to leverage the internet and its massive computing power of cloud computing as Devices get connected get smarter They'll be able to take advantage of all the power generated at the cloud and on the intelligent edge What's driving this movement? The maturity of connectivity The intelligence do architecture at the edge the optimization done at the edge the intelligent sensors and The effect will be felt everywhere across many industries So let's start looking first at Some of the trends, you know, we will start with the first major macro trends is accelerating urbanization You've seen all of us have seen many reports from analysts Different different sources Predicting that most of us the majority of us will live in cities or around cities within the next 10 years that's gonna put a tremendous pressure on The cities on the infrastructures of the cities to create Smarter things much more efficient things. That's the drive for smarter transportation smarter energy consumption smarter banking and This is fueling innovation to support this macro trend the second Major trend is around the aging population. I'll give you just a reference of the Americas It's expected that the number of People over days 65 will double over the next 10 years. So that's putting a huge amount of pressure to stabilize the cost of Healthcare so through that pressure through that need a lot of innovation has happened over the past 10 years We've seen it from the major healthcare companies to startups that are Popping everywhere in this field trying to take advantage of this opportunity and the objective is Very simple is trying to control this cost That's expected to be close to 30% of the GP GDP within the next 10 years The third area the third micro area is around our environment. You hear a lot Protecting our environment protecting our natural resources Saving energy and you see a lot of investment in the transportation industry related to increase efficiency the electrification of cars But energy efficiency as we've heard Even from our speaker before it's not just around transportation surround everything Around water energy the push to save Electricity all across all industries so Let's look at the traditional way of how the embedded systems Operated so you had Devices at the edge collecting data Sending it through a gateway and then up to the cloud all the intelligence has been happening at the cloud All the intelligence all the action were coming from the cloud so What does that do what is the? challenge with such a System so many challenges and the challenges are coming from the needs There are certain application that demand a real-time Operation I need to act now Some with all of these billions of devices connected it could potentially create a bandwidth issue as well So I can't wait to have My time to connect and communicate Other areas Are driving us Towards taking decision on the spot at the edge So what did this do? It's created a huge need for a decentralized distributed intelligence model, so now you have a Push innovation that is distributing this intelligence from the cloud to the gateways to the edge Down to even our day to day devices and What this system is doing is Not only distributing intelligence to the edge, but it's also learning and continuously Optimizing across all three stages of the platform from the edge all the way to the cloud All of this is sounds fantastic the architecture is there the vision is there the expertise is there to put this in place though It presents itself with some challenges and at the same time some opportunities for all of us and we will over the next 10 minutes, so we'll discuss some of the challenges how a Collaborative efforts across all the industry is coming to address these challenge to take advantage of this opportunity So we'll start again. This is not you know, I'm here. I'm speaking on behalf of a semiconductor company This is not Semiconductor a challenge or opportunity the whole industry is presented with this challenge and It's impressive the collaboration Across all segment of the industry from again from us From the semiconductor places to the cloud provider to the telecom industry to software vendors to our distributors To and many many different opportunities And innovation is coming from all across the technical community Some of the challenges is and the opportunities again You have sensors everywhere now So the semiconductor industry for example are investing in innovative sensors that are creating the nervous system of this intelligence edge Now Everything is being sensed. We're being watched cameras are all around us We're being taped So some of these challenges is how to deal with all of this what to do with this The nervous system is there, but what do we do with this and how do we? Responsibly manage this opportunity this is all being enabled by many Opportunities and many innovations across our industries. So technology investment and providing low power at the edge You have also AI Innovation from across many startup focused on certain industries certain verticals All look to support this opportunity security investment from the cloud to the silicon is being At the forefront of this innovation and finding solution to address these securities issues Smaller form factors to be able to fit this intelligence into the edge supporting our day-to-day activities and all of this is Coming together supporting different industry from wellness to transportation to industrial and so on so I'm gonna mention a couple of a couple of Players you know here the cloud we've seen There's a very active investment and development from our cloud partners in providing or acquiring Solution for real-time operating systems to enable intelligence at the edge. I just want to mention few you've seen their publicly Public in the public domain. We've seen recent investment in this space developing our toss or acquiring our toss capabilities From, you know, AWS Microsoft Google. This is a very very significant Move to word enable enabling intelligence at the edge I'll mention another industry here it moves it move now Connectivity so five years ago if you remember we were all Juggling which connectivity Should we invest in and so on now? This is behind us. There are many connectivity solutions Many and they all have a place they all have an application They all have an opportunity and everything can be abstracted from the users So whether for short range to long-range connectivity is no longer a concern Connectivity is there to support the enablement of intelligent edge I'll mention investments You similar to how we mentioned on the semiconductor side. We mentioned on the cloud guys now some of the telecom guys You know, we hear a lot of 5g's 5g's expected to make a significant a Change in enabling intelligent and distributed and connected a word to solve some very fundamental needs to this intelligence faster speed Higher capacity Lower latency and again if you remember some of the challenges presented Four or five slides before were related to I need to act now. I can't wait So bandwidth real-time, etc. So 5g could and will be a key Enabler in a supporting intelligence at the edge now we've looked at so far the macro driving forces we looked at some Challenges we have looked at the opportunities. We have looked at some key Industry leaders what they are doing to address these things now Let's bring some use cases of how this whole ecosystem of industry is coming together to provide solutions To in real cases and here we I picked just give you an idea I picked one from appliance from the consumer side. I picked couple from the industrial side And I picked one from the automotive side just Random just so we can feel and touch where this is all going here. Just mention the case on the on the home appliances The use cases of the industry used to go on I want to go buy a fridge I go to a local or a national distributor. I pick my fridge. I buy it So that the interaction has been between me and that distributor now with this intelligent node The opportunity created could open the door for for example the appliance makers or the consumer makers To have a connection directly with the consumer where They will understand the consumer needs to the connectivity again They will understand the consumer needs creating a new opportunity for potentially a new stream of revenue That's new stream of revenue could come from services could come from maintenance could come from The ecosystem of providing okay, I'm a fridge or I'm an oven. I'm gonna connect you to the local store I know the recipe you're gonna buy. I know what's in this recipe. I will purchase it for you So I will plan your whole week Whole week's dinner. I will purchase it for you. I'll connect you to write. So there's an opportunity here for service-oriented engagement with The consumer that was not there prior to this intelligence edge industry industries will Significantly take advantage of the intelligent edge and give you an example here of motors anything it could be So you have sensors placed on the motor they monitor they can monitor the vibration of the motor They can monitor the temperature they can monitor the magnetic field against an optimized use user case and any changes from this could trigger a Inalert a change in action all done at the edge saving The factory the technician time when called on to address the situation and all of this Will be enabled by providing intelligence at the edge another Another case is related to Again the smart industry here. We'll take an example of an elevator Optimizing the consumer Satisfaction with making sure Anticipating a failure Calling on the technician having the parts ordered all of this without Anybody or any person a triggering that action Another example of automotive I mean we've seen All the coverage on automotive having sensors on all major parts in in our car Anticipating a failure ordering parts Maybe in the future going and fill the gas for us So we don't have to do it ourselves as long as they don't take the fun out of driving because I I enjoy still driving My car, but the opportunity is there to take advantage of The intelligence at the edge and transportation is a significant industry and the opportunity is tremendous there Another one also inspired industry machine vision and so on so the examples are Ample the opportunity For all of us is great now The execution is still short of the expectations Even though the technology I believe AI Intelligence at the edge today is what connectivity was probably five or seven years ago We are still at the beginning of implementation, but There's no doubt about the Intelligence advantage advantages that will bring to all of us now We want to make sure all of this is great the industrial area will Take advantage of these significant improvements, but how about how about us consumers? So we've been watched We are being taped We are sending information about DNAs every day So then the data is there. So we have to make sure we act responsibly as an industry to make sure We keep the consumer trusting in What the data is? Doing we have to be transparent in our approach So we don't lose the consumer and if without the data the fuel for this intelligence edge add The consumer side will not succeed. So as an industry We have a responsibility to make sure we are transparent in How we are using the data and the benefit of using this data to the consumer so with that in mind I Want to leave you with? Intelligence as distributed intelligence is here to stay and I was very proud of our engagement collectively all together over the past five years with Innovators with startups all collaborating together trying to take advantage of this opportunity And I thank you for listening this morning Thank you