Business Innovation and Marketing with Mike Parsons
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Read about marketing, innovation, emerging technology and Design Thinking Methods. Includes lean startup, agile development and rapid prototyping tools.


What Will Future Technology Be Like?

 

Creating new things is a deep part of my life mission. The most powerful way I can create is to open my curiosity, and my mind to opportunities is to consider the future.

This challenge forces me to ask fundamental innovation questions about the role of emerging technology. Here’s my four favourite:

  • How can emerging technology impact users? What are the practical and meaningful use cases for technology to solve a real-life problem?

  • What is a user problem worth solving? Will the customer pay to solve this problem?

  • Is there an addressable market? Are there enough customers in the market to warrant the investment risk?

  • Are there fertile underlying conditions for the technology? Are their tools and talent in the market to work on this product?

Here's my new video for top 5 emerging technologies for 2019.


Top 5 emerging technologies 2019

1. Sensors everywhere

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Forget smart cities in the short term. However, we will see sensors everywhere. An IOT sensor is a device that detects and reacts to some input from the physical environment. The data can be light, heat, motion, moisture, pressure, or other environmental factors.

2. Edge computing

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The cloud is not always perfect. You will witness a surge in computing at the edge in 2019. Edge computing brings memory and computing power closer to the area where it is needed.

3. Quantum computing

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Quantum As A Service (QAAS) is coming in 2019. Get ready! Quantum computing focusses on developing computer technology based on the principles of quantum theory, which defines the nature and functioning of energy and matter on the quantum (atomic and subatomic) level.

4. Mixed Reality

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Mixed reality (MR) is a hybrid reality, the merging of real and virtual worlds to produce new worlds, environments and visualisations where physical and digital objects combine and interact in real time.

Mixed reality is also related to, or sometimes confused with, Virtual Reality (VR), Augmented Reality (AR) or Real Reality (RR).

5. Privacy and ethics

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Facebook crossed the line with our privacy, and this has triggered a debate on privacy and data. The conversation is now about The Right of Privacy. The right to privacy is an individual's legal right to be left alone and live a life free from unwarranted publicity.

You can read a lot more about these technologies here.

Top 5 emerging technologies 2018

1. Augmented Reality (AR)

A visual technology that superimposes a computer-generated image on a user's view of the real world, thus providing a composite picture.

2. Autonomous Vehicles.

A self-driving car has many names Driverless Car (DC), Autonomous Vehicle (AV), Self Driving Car (SDC), Self Driving Vehicle (SDV), Highly Automated Vehicle (HAV) and Automated Driving Systems (ADS).

The vehicle is capable of sensing its environment and moving with little or no human input.

3. Face Recognition.

Facial recognition is a biometric software application able to identifying or verifying a person by comparing and analysing patterns based on the person's facial contours. Facial recognition applies to security and a growing number of marketing applications.

4. IOT Effect.

The Internet of things (IOT) is the network of devices such as vehicles, and home appliances that contain electronics, software, sensors, actuators, and connectivity which allows these things to connect, interact and exchange data.

IOT is related to the Internet of Everything (IOE) and the Industrial Internet of Things.

5. Artificial Intelligence.

AI is the theory of computer systems performing tasks requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages. AI works in numerous ways Knowledge reasoning, Planning, Machine learning, Natural language processing, Computer vision, Robotics and Artificial general intelligence.

You can read more about the 2018 technologies here.

2017 top emerging technologies.

1. Virtual Reality

The computer-generated simulation of a three-dimensional image or space that can be interacted with in a material or physical way by a person using special electronic equipment, such as a HUD, a VR helmet with a screen inside or gloves fitted with sensors.

2. Blockchain

The blockchain is a distributed, decentralised, public ledger. This ledger becomes a system in which a record of transactions made in cryptocurrencies that maintain across several computers that link in a peer-to-peer network.

3. Voice as an Interface

A voice user interface (VUI) makes spoken human interaction with computers possible. This low friction interaction uses speech recognition to understand spoken commands and questions.

Here's the transcript of the Top 5 emerging technologies 2019 talk.

0:03

Hello and welcome to the future horizons Show. I'm Mike Parsons from Qualitance. And I am so excited to be here because today we're going to reveal our top five emerging technologies for 2019. And this is all part of our future horizons program. I have to tell you, this is literally one of the best parts of my job. I really enjoy it because we get to think about the technologies that are coming down the track what's going to be big, what could be incredibly useful. And what I really hope is that all of you can enjoy this next 30 minutes of reviewing some of the best technologies from 2017 and 2018 and our top five for 2019. Now if you want to find out more about any of these technologies, you can go to quality and stop calm or just follow all the links on our YouTube channel. And there you can find all the information

1:00

That you could ever want on some of the best emerging technologies for you to use in your work. Okay. So let's talk about why futurism matters. You know, futurism is like looking into the future. It's a curious and it's a positive. In fact, it's a super exciting thing to do

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personally is I love doing it. I find it presents new possibilities in the world. So thinking about new emerging technologies is really an opportunity for us to learn to discover and to imagine now, if you have a look at this slide. This is the Gartner hype cycle. This thing is off the charts. This is full of inspiration and goodies. I mean, you've got everything you could possibly want. mixed reality blockchain, IoT, you name it, it's all there. And you know what thinking and playing with this over the last few years has been so exciting. It's been one of the core sources of our inspiration, which is really

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We're looking at the benchmarks for the best emerging technologies. But what's been really interesting this year is if you really think about emerging technology and the tech Titans in Silicon Valley, there's been a bit of a bit of a sea change. We've seen a lot of privacy scandals over 2018. And this is changing the way we want to talk about emerging technology. No longer can we ignore the implications and the responsibilities we have with emerging technologies. So what you're going to see this year is a lot more conversation a lot more thinking for me and the quality team around how we can be more ethical, how we can respect privacy and perhaps even create more transparencies with the technologies that we build. Now, the reason this is so important is that over the last 10 years, there has been a crazy amount of privacy scandals. What you'll see here on the screen, these are like just the top 10 biggest privacy scams.

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The last 10 years and we've got our classics obviously everyone knows about Cambridge Analytica, and we've got, you know, the year prior and 2017 we saw Equifax and their disaster where people, millions of people actually had their personal financial information hacked and shed. And, of course, we have the big one, but Yahoo hack from, you know, rant about 2013, 2014.

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It's a series of these events that are forcing us to rethink emerging technology. So on one hand, we're going to be inspired. We're going to be curious, but we're also going to do it with far greater responsibility. Now, let's talk a little bit about the criteria for us to look into the future to find those winning emerging technologies. Number one, it's all about positive impact for users. And you know, the new ones here is it's not like making a product or technology improve someone's life by 10%.

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That's not really innovation that's iteration,

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what we're really looking for is 10 x better. And that's how we can make dramatic impact positive impact on users. Now, the next thing we're looking for is a problem we're solving. This is like a question of viability, like our customers willing to pay for it. And the third thing we look for, is there enough of those customers in the world to make this worthwhile. Now, the fourth thing that we're looking for is the underlying conditions. These are all the tools, the talent, the things that you need in an ecosystem for technology to take off, and it's with these for that we've looked at 20, 1718

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and we will look at 2019. So should we have a look at 2017 How did we go let's start we picked three and the first one was virtual reality and I'm afraid we lost out big time on this one. The truth be told virtual reality it's really expensive to produce.

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VR applications and content takes a long time. There's a lot of device issues with battery life and hate, frankly, via is just too hard. But it gets better. We did put a big bet in 2017 on blockchain. And boy did that thing take off. Now you all know about cryptocurrencies. But here is the latest development, which I think is a bit of a sea change. What we're seeing is blockchain has gone into the enterprise. This is a crazy fact that PwC recently found over 84% of enterprises are actually actively working on the blockchain. And I think the key area to go and look at that is smart contracts. So we think we got a real winner on that pig. But without doubt the real pic that came home with voice as an interface. Now I couldn't have imagined how big this was going to be. We have seen you know, the Amazon Alexa the Google Home have just burst onto the scene and it feels like everyone's got a couple of these.

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devices in their homes. But here is a crazy fact that just illustrates how emergent voices and interface really is. And yes, it is powered by some artificial intelligence. But check out this fact over the last three years, the amazon echo dot. And this is sort of like an entry level. Alexa device has been the biggest selling item over all categories for the last three years on Amazon. com. What's also really interesting is the app that supports it has been the biggest selling free app in both iOS and the Google Play stores. voices in interface is here to say, and I tell you what, that one is turning out to be big, fast forward. 2018. What do we pick in 2018? Well, we got very excited Ladies and gentlemen, we picked five technologies last year. Let's start with the first one augmented reality. So we learned a few things

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essence from via we scaled down back to Asia and boy has augmented reality taken off. We've seen everything from David Bowie's costumes brought to life in Asia, as well as the recent hurricane Florence in the US had some amazing visualizations on screen which really brought the scale of this absolute crisis to bear for all the viewers around the world. So a wave a flag, and it came of age in 2018. Now another technology that really was big on our horizon and I'm afraid to tell you it has really disappointed at autonomous vehicles. And I think the key word here is complexity. You're dealing with a whole system of roads and regulators data points from drivers, other traffic,

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road changes traffic condition, it's crazy out there and it's proved incredibly hot. You know, unfortunately, we saw the first fatality from an

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autonomous vehicle group is autonomous vehicle was involved in a terrible incident and falling off in that. More recently we've seen project Titan which is Apple's serious effort to get into autonomous vehicles has been severely scaled back, which is suggesting that Apple has given up the ghost with autonomous vehicles. Our third pic last year was face recognition. Now the funny thing about face recognition is a lot of people said to me, Mike, what's with this face recognition thing. And a lot of people I think, only understood face recognition as being a mechanism to look at your iPhone x and be authenticated with face ID and and to sort of login but it's so much more than that. We've seen it in the mole at a KFC and on the streets of Beijing is growing like crazy. Now what's interesting to our earlier point, this is bringing up some serious ethics and privacy and data questions.

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What we're going to see is this theme is continuing throughout the rest of our emerging technologies. Now this one's a bit of a lot. We picked the IoT effect. And yes, IoT is really being pegged as the next big thing, particularly with the the coming of 5g, but it sort of had mixed results last year. I think an interesting thing that suggest some of the challenges we're going to have with IoT is this great story. So what you'll see on screen here is that there was a casino, which remains unnamed, but this is a true story, and it was hacked through a fish tank. That's right. They had a fish tank and it had some senses in the fish tank, which were connected to a PC. And through those senses, hackers got into the PC onto the network, install over 10 gigs of customer data. And so we've seen lots of exploits of IoT devices. So once again, it's

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A bit of a mixed bag for some of these technologies and the implications of how we build them are starting to become far bigger than we could have imagined. Last one from from 2018 artificial intelligence. And this really is the, the home stadium of Google in 2016, they really impressed with a deep mind technology they went up against the world championing Go Go is a Chinese ancient Chinese ball game very complex. In fact, it's, you know, previously been considered impossible for computers to actually master this for artificial intelligence to match it was thought on doable. Well, in 2016, they did it and they continued this run in 2018 in the early part of 2018, Google presented to us the Google Assistant the next generation of artificial intelligence from Google and what did they do using artificial intelligence they pasted

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telephone call to a hair salon.

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And in this conversation, the computer completely went through the process of booking and arranging a haircut appointment for a client. And here's the catch. The lady at the salon had no idea she was speaking to artificial intelligence. So there's a lot happening here. But if you really want to know what's happening with artificial intelligence, don't forget I spent four shows, talking with Professor Dan cordis, from Georgetown University, going super deep into artificial intelligence. So if you'd like to know absolutely anything about artificial intelligence, go check out that on future horizons on our YouTube channel. You will love what's there and it goes very deep on artificial intelligence. Okay, so you're thinking, Mike, what are the big five for 2019? Well, cue the drum roll. We're finally here and I'm really excited about these five. These are the best ones we've done yet.

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And let's get straight into them. The first one senses everywhere. Now, we've been really careful with this one, because we didn't call it smart cities. And we didn't call it IoT. And there's a very particular reason we think Smart Cities I use away much like autonomous vehicles, very complex, a lot of infrastructure, a lot of back and forth. But it's not just the technology itself, we think we're seeing an explosion in IoT senses. In fact, check out this stat, 64 billion IoT senses are predicted to be active by 2025. Can you imagine that is a whole lot of senses, producing a whole lot of data. Have a look at what's on screen here. I really love this, this diagram. Now what it does is it shows you the range of all the different senses that you might expect to be in a city. So you've got everything from the ship's bringing containers.

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into the dock, measuring the temperature and the velocity of those, you've got everything to air temperature, pollution right through to water quality, and kind of moving from left to right here, you'll see that you can actually go right through an entire city from the garbage waste management, cop hogs. Smart light, smart traffic senses will be able to do when temperature you name it and provide all of these data points around the city. So take it from me, this is going to be amazing. But we're not going to have smart cities. yet. Smart Cities are way off but you can get a glimpse into the future. Have a look at Toronto City up there in Canada. I want you to check that out because Google and Toronto are working together to create a smart city. Now I've picked this one because it's kind of good and bad. It's not the perfect picture and that's why I really encourage you study the City of Toronto

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what they're doing, they're having ups and downs with creating a smart city. And that's where we can get the inspiration for what really works. Okay, number two. Now, this one, this one's a big one, we're talking about edge computing. Now, edge computing, for me, is really exciting, because it's insanely practical edge computing is all about not just relying on the cloud, we've all become very accustomed to the cloud. But we really do need edge computing, particularly with all the senses, it's just, it can be incredibly hard to get all that data up into the cloud back to the sensor again, and there's no better example of this, then the the scaling of infrastructure that we're seeing at the moment. In fact, you can expect to see over 15% of what is spent on infrastructure is going to go directly to edge computing. Now I'm going to show you the absolute best use case for how edge computing is going to absolutely set the world on fire.

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Vehicles, autonomous vehicles, this is where it's at. So once you to imagine now, this is a great image. This is a diagram from Intel, where they calculated all the data that an autonomous vehicle creates. It's over 4000 gig per day, every day. Because those senses I capturing everything from telemetry to the camera data, the right data, the sonar, data, GPS, you name it, there's a whole lot of data going on. But what is really important here is I can show you the role of edge computing. Now, it would be too hard to get all that data up to the cloud because they have to go over an internet connection, get to the cloud, get process, come back to the car and be processed in real time because you're driving in real time. You can afford any lag or any latency in the data coming back in order to make the right decision. This is why edge computing is so powerful for the right use cases you can put

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The computer the processing power at the edge, and that will give you the ability to make real time decisions. Now, one last thing in this is going to start a whole theme for this talk. And that is Microsoft is back. And, you know, you probably be familiar that there is a cloud platform has done really, really well. We'll have a look at this. This is they're intelligent cloud and and they're intelligent edge computing offering. Now what's really important about this is we actually look for large tech Titans like Microsoft building platforms to support a new and emerging technology. Now this intelligent edge is really cool. It's multi device, multi sense works with AI and it's completely service and elastic. So it means that on demand, you can hook into this platform to build your edge computing solution.

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Okay, we're getting through them. Number three, and this one is really taking things

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to the next level of complexity, it's quantum computing. Now I know physicist, but I'm telling you, quantum computing is off the charts cool because it is a complete game changer. We talked earlier about 10 times better. And this thing is like 100 gazillion times better than computing as we know it today. So 10 set the scene on how we want to think about this. Let's have a listen to the CEO of Microsoft, Satya Nadella. Let's see what he has to say about the importance of quantum computing. The world is running out of computing capacity. Moore's law is kind of running out of steam. We need quantum computing to create all of those rich experiences. We talked about all of this artificial intelligence and that's why quantum computing is so interrelated to some of the technologies we've talked about. Now, I don't want to get too technical here because this is beyond my passion.

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Right. But this is what I can tell you, for sure.

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If you look at quantum computing, it's like at least millions of times quicker than traditional computing. And here's how it works. What you'll see on screen is it's a very simple diagram that illustrates traditional computing sort of very binary. It's very singular. It's like So the one thing or the other, it's a 01. So you know, the device you're watching me talk on right now is a binary based traditional PC device. Now, what quantum computing does is it starts with a completely new idea. It's called the qubit. The qubit is not a singular task bit is a multi state bit and this bit is crazy because it means rather than just doing one thing at a time, it can do multiple actions, multiple processes simultaneously. And this is what results on such a breakthrough in terms of

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performance and speed. Now we're going to come back to our friends at Microsoft again, as well as IBM. They have introduced something that we think sets the right underlying environment for quantum computing in 2019. Now, here's what it is quantum as a service. Now, you've probably heard of software as a service, or maybe even system as a service where object quantum of a service as a service here, and it is so exciting because what it means is on demand, anyone can hook into their infrastructure to do quantum computing. And this unlocks the three big use cases that we think is really powerful for quantum computing. And it's like the perfect combination. Here we go use case number one, I want you to imagine all those complex scientific problems like very data, heavy problems like solving outside is or Parkinson's disease where you've got multiple data sets quantum

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computing can just chug through all of those data sets and give you new insights. So that's case use case number one. The second one is the financial industry were in a position with quantum computing to create completely new financial models because we're able to crunch numbers we actually had to crunch through big data in a way like we've never seen before. And lastly, if you think about like a really complex moving set of moving parts I want you to imagine a supply chain there is Kaga there's roads, there's vehicles warehouses and all the data that surrounds that quantum computing can compute crunch, translate, interpret, analyze all of that data and then it can optimize the rap for distribution and delivery. This is super exciting. This is quantum as a service get ready for number four mixed reality bit of a cheat here. We kind of took the best of the best via and we put it

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All together. And you know, when you take the best of two worlds and you put them together you can see here like every research firm in the planet is saying this thing could take off majorly summer expecting 70% compound annual growth to come out of this mixed reality market. which is exciting because, you know, as we said via is kind of bummed. So we're looking at this combination of augmented reality and virtual reality to actually make the dream come true. Here we go. Microsoft is back again and the products that they built, which was a really big bet on mixed reality because other providers chose other paths. Microsoft, they went for mixed reality with the HoloLens product and this product is the bomb and so much so that you know, the US military have actually commissioned a whole lot of projects with HoloLens. So much love for this product from the US government, even the FDA have approved it and this is a massive

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Massive tick of approval for a new emerging technology so you can expect big things from the HoloLens. Now let's have a look at some killer apps that we think can get very, very exciting. With mixed reality gaming and entertainment. You will know that so hey, I don't need to tell you about that. Of course, that makes sense. But what about this education and learning, think about distance learning or imagine you've got remote people who can get to a classroom. With the HoloLens you can get the classroom to them, and like another big area is medical and health. If you think about what mixed reality can do to augment and improve training, learning and education, you can actually simulate operations you can see inside a body, see the bones see all the organs and really actually create a much richer training environment and simulation environment so we can expect big things from mixed reality.

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So now you're thinking, Well, that was all a bit serious. Well, if you're not sold on mixed reality yet, this one you got to check out. So Honda got together and did a mixed reality race. And what they did is they got like a crazy awesome professional IndyCar driver. And then they got a like, serious x box fan who drives a Honda Civic in Forza Motorsport. And then the indie guy he got in a Honda Civic as well in the real world. The IndyCar driver drove the Honda Civic around the track, but what they did is they mapped the same track into the virtual world of an Xbox into the Forza Motorsport game and what they could do is they could race a virtual racer and a real life racer together in the same race at the same time. So when you look on screen you'll actually see here the real life car with the virtual real

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Reality can't just a little bit in front. Now if you want to see who wins, go to YouTube and type in hundred mixed reality race and you'll see who won the first mixed reality race. Okay, we're on the tail end of this. Ladies and gentlemen, last one, number five, top five trends for 2019 with emerging technologies. This one, this one's the outlier privacy and ethics. That's right. We are in a world now where you cannot entertain emerging technology without thinking about governance, thinking about consequences of what we're building. I think this all starts with the fact that we create so much data. In fact, every single day we are creating 2.5 quintillion bytes of data. Now, if you want to try and imagine how much that is, it's such a big number. It's kind of hard, but imagine this Imagine you have 250 million brains, you break them down to the new room.

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level that is 2.5 quintillion bytes of data. And we're creating that every day. Now, what this leads to is the fundamental question, Who owns the data? Because right now, everybody is creating so much data. And people are using that data. And we haven't even had time to ask who owns it? And who said you could do that with that data. And this is some of the big questions that are circling around emerging technology at the moment. Now, I want to I want you to imagine over the last 10 years, you know, largely speaking, Google, Facebook and Apple have been showered in affection and price.

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But recently, particularly Facebook and Google who use advertising as part of the core business model have found a lot of critique and they've actually been involved in a lot of privacy issues and scandals, the temperature is changed people.

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Talking differently. And I'm going to read to you what Edward Snowden the famous Wikileaks player, I want you to read. I want to read to you what he said in regards to Facebook. Have a look at this on the screen businesses that make money by collecting and selling detailed records of private lives what once plainly described as surveillance companies. Their rebranding as social media is the most successful deception since the Department of war became the Department of Defense who now it's getting hot in here. Look, whether you agree with Snowden or not. The real truth here is people are now starting to ask big questions around privacy and ethics. Now check this out on the screen. You'll see he ducked go. This is a very privacy privacy friendly search engine. And in response to the criticisms of Google and the exploitation of our data, they've seen a 50

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percent increase in daily search activity on their site in 2018. So this tells me that not only are we going to be talking about privacy data and ethics, but people are going to be building products that really leverage and respect our privacy and add data.

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Okay, so we got five big ideas. Let's do a quick recap. We got sensors everywhere. We've got edge computing, we've got quantum computing, mixed reality, privacy and ethics. Now you're probably thinking, all right, that's like a lot of information, Mike. And you're right. There's a lot to think about here. But you know, I want to tell you a secret. There's a very simple way we can think about this. I want you to go back to basics. I want you to pair it all back and start with the truth that I've talked about a number of times at talks on YouTube and that is this all starts innovation with emerging technology really start

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With testing and learning with the user, okay, it's not in isolation in the lab. Because you don't want to be like segue. You want to go out and work with your customer test and learn, understand, if you're building a marketplace, what your buyers and sellers need, you've got to serve their needs and testing, learning and prototyping will help you get there. And really, this is just the art of being a bit more human. And these things I've talked about a lot, but particular to 2019 is this following idea. You have to test and learn, you have to be more human. But here's the thing I want you all to do. When you're building your next big product. And you're thinking about doing something really disruptive with technology. I want you to ask the question, how can we be more transparent, more transparent to your employees, to your users, to the whole set of constituents and stakeholders that surround your product or service because if you do this only good thing

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can happen. Okay guys, that's a wrap. It's been great to have you here on our future horizon show for our top five emerging technologies and trends for 2019. It's been a real pleasure. We love sharing this information with everybody at quality, since we're all about making software more human, and I really hope you've enjoyed it. Don't forget, go check out the full pot series on AI with Dan cotis. You'll find that in our YouTube channel, leave us comments, send us feedback. And as always, we're really open to your ideas and suggestions. Thanks again. We'll see you soon.