VOICE is the future of COMPUTING: Ahmed Bouzid



[Applause] [Applause] [Applause] my name is Ahmed Busan and I'm founder and CEO of a company called with lingo do we help brands and actually individuals and small businesses organizations of all size to launch a voice first experiences on the alexa platform on google assistance soon on the samsung bixby I started graduate school way back in the mid 90s I was in natural language so natural language is enabling software to understand what does understand mean is it when you say a bunch of words it does that's what he wanted to do and then speech is taking signal right you know with what you say and converting that into text right so phase one texts and then finish you take that text and convert it to meaning so if I say what's my balance there's the first phase convert that into text and then the second phase is take that text and comer into an action which is a query that brings back our information and then it plays it back in the voice of the computer right so I did that basically that's what I did for my graduate school and then my first job was natural language developer I was a coder right so we built using a language called prologue prologue is is a sort of D language at the time for building AI that enables you to build these conversations right I worked at a company called Genesis right ministers we had the big group and what we did was just build a natural language / speech and then from there I wanted to assess company the delivered voice called angel comm based off was based in DC in MacLean and was purchased by a bigger company called Genesis right which sells complex center solutions and then after that spent a year on some at Amazon with the LXE team and I was in charge of the smart home a product line and we launched the smart home back in I think early 2015 and then very quickly as when I was part of the team it was clear that this is taking off we were launching the SDK galaxy skills kits back in the summer 2015 and I was clear to me that hey this is this is the next big thing right and since I've been in voice forever decided to launch my company in early 2016 if you think about the evolution of computing in general right how we have been human beings have been using intelligence artificial intelligence to solve problems right you'll see that it evolved from the mainframe computers where a very small number of people were able to use those tools to solve big problems right banking and so forth right initially the military and then we wanted to I'd say the 1670s where we had many computers right now you have more people researchers and universities right and then we went to the abuse of the PC right where you had businesses small businesses were able to afford to purchase hardware and software to solve problems and then from there we went to cheaper pcs right where individuals were able to use the new computer and at every iteration became easier easier easier to use this this tool allows you to solve problems and then in the mid-2000s we had the emergence of smartphones with the iPhone in 2007 and after that the Google devices and that just brought in a whole new you know set of people were able to use computers easily and not only it was an increase of people who can use it but the people who are using it are using it much more comfortably it's not it's not you don't have to remember stuff right it becomes more and more natural and so I think today since 2014 15 we've seen the emergence of the latest interface which is voice and voice compared to all the other interfaces is the easiest of interfaces to use right all you have to do really is talk and listen and anyone who can talk listen human beings right can use it can use the can use voice why now is because I believe speech recognition natural language the core components for solving for delivering interface are hard problems they required their choir to their salute for the solution they required quite a bit of knowledge of hardware or software that came about only when we had the mass distribution of smartphones right because because millions and millions or billions of people have these devices their smartphones or on on smartphones right we then went to the next level of data gathering it was far more data that we can gather to solve these problems to solve to build these AIS that are based on machine learning and machine learning is in essence a technology or method for delivering software that is not algorithmic but it is data-driven and speech was solid I think I believe the speech problem has been solved and it was solved when we were able to gather the the magnitude of data that we needed to solve the the the problem so that's why I believe now we have Thea we have actually interfaces that are performing performing in the sense that they understand what you're saying and also performing the sense that they respond quickly well first of all the reality that this is being adopted people are adopting voice of first smart speakers whether through through the phone they are talking to these intelligences right the adoption of a voice first if you compare it's at this stage compared to the smartphone right the adoption is much higher right so people are buying these dots and these minis and so forth and they're putting them in their home and they're talking to them right so number one the reality is that there is a baseline of facts that you need to be aware the people are using these devices and they are using these devices to do things that are real like they are you know basic things like alarms and so forth but also the asking questions right and and they're they are seeing that these these interface are performing meaning they are integrating them in their routine and you know when they want to do something they say oh you know that Alexa is pretty smart she can do this this and that I'm gonna try and ask her about this right and then soon they will expect your brand to be there right just like number one the smartphone came out and it was it was about folks who are who want to build a business so they have games or they write so they want to make money right and so very few companies had actually a mobile app for their business right but then it started evolving where at one point tipped where if you are a bank or if you are whatever you may be a business you don't have a mobile app that's suspect right so you're evolving towards that and the trajectory if you just you know what she's if you see what happened with the mobile with mobile with social right social being Facebook and YouTube and all those at the very beginning it was like what is this you know should I be doing any of this and then three or four or five years later you must have it it's a table steak so those who got in early who understood you know who depreciated themselves we leveraged that early entry to say that hey we are you know using the curve you know the one on top of things and so forth and who also leverage those properties to increase their SEO right because you have presence because people are using you you will have an edge that is going to be very hard for your competitors to catch up with what if you are on the other side it's very hard for you to compete you know I mean in in a meaningful way and I when it comes to technology especially when technology is adopted by the masses there is a maxim like the earlier you get the better and also the earlier you get a bit cheaper for you to do things now and to do it later where you you know the prices will go up right now folks are trying to get business I am trying to get business so I'll cut deals for folks because I want to generate revenue and learn and so forth so the early adoption is the way to go so we will have a workshop and one thing that I don't wanna spend too much time on it but just to make the point that what I've seen in the in the space in terms of spending the world there's been a lot of emphasis about developments coding hackathons so forth and not enough on design research testing right you know excellence and quality is not only about your software and what it does but whether it's solving the right problem right you could have a great skill in terms of the code is perfect it doesn't crack anyway right but nobody's going to use it because it's not solving a real problem and why is that it's because you didn't do the research you didn't go and find out and talk to you you know the the real person or a bunch of people who are say elderly people or people who are you know you know teachers want to use the technology and see the use cases where there'll be adoption right number one number two design right now there's not enough design out there right and so the workshop is going to be and it's called I think ideation and design for healthcare right we are going to take a very specific use case the use case of you are a patient you just had knee surgery right and now you're at home and you have your Alexa and folks who have these surgeons have like 20 questions they ask all the time right what they do today they they call the doctor or they go to the web and they try to figure out what the answer is how about if we go and find out what at the top 20 questions people ask get an all-access kill that is going to answer those questions and you know and deliver something of value and so we will talk about how we did that and then we will pick a couple of use cases and work with the audience to to go through that process so macro casting is an emerging trend which i think is going to be here to stay that consists in folks are creating a short like 1 minute or so podcast mini cast right that that has one specific point that that the micro caster wants to make and that in essence can be delivered through mainly through Alexa and Google through in in in the context of a routine right so you're driving in your car you want to listen to five or six experts right the voice folks and maybe about stocks and so forth right and you don't want to hear it's not you don't want to invest the whole podcast right people listen to podcasts when they are I don't know I I listen to podcasts when I'm preparing food or when doing laundry or I'm fixing something but for short to the point things I think macro casting is the way to go and we are seeing a lot of adoption work out there and there are studies that show that for certain contexts people want to listen to short one minute audios they get to the point we have launched a tool called Casa lingo that allows anyone to basically launch a microcast the whole point of it is it is the easiest way to do to launch micro cast and again voice is about ease of use ease of asking and ease of consuming by listening right you don't you don't have to go and fill around you just ask and listen and so this tool is designed within that ethos anyone can download the cast lingo app anyone just look a big button there you click on it you speak you click and it's done and it's posted it's available on Alex as your own micro testing scale because voice is easy – as I was saying easy to – to use as an interface you ask and listen the core thing is is ease of creation so it's easy to create audio right if you have the right tools you just speak you don't have to you know type and upload and download just talk right so I think well as a consequence of that as these tools that emerge things like this mathcast lingo and so forth we will see the emergence of our when I'm thinking of being a sort of a voice first web a web of audio created by experts and people who care about certain things right and with the emergence of this boy's first web we'll have tools such as browsing so what does it mean to browse the voice first web you just ask a question you get an answer and that answer is provided by by the crowd just like just like you have wikipedia'd emerge from all these people who are passionate about something or other right they created this amazing thing called Wikipedia I think we will see something like this merger [Applause] [Applause]

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