How the philosophy and the fundamentals changes?

The philosophy and the fundamentals don’t really change right so we focus on that so yes you will learn DevOps in-depth right but you will not learn a specific toolchain per se because that can depend on the use case itself and we’d like to cover multiple use cases okay, so Matt is asking in question I am interested in development until our domain dot J’s cloud Java-based if not what prerequisites are required for development Smith.

I’m not sure how you will react to this answer but nothing changes as far as development is concerned, to be honest with you right if you’re writing Java code you will still write Java code is pretty much the same manner whether you are writing it off the frame or on a cloud right it really doesn’t change so I’m not sure what you wanted to understand and it route again to get sample lectures you can just apply for the program.

It doesn’t cost it hardly cards cost anything and you get a content preview for that and based on that content preview you can make your decision whether you know you like the program in such and then you can take the decision Brain does GL the CL helped me to career counseling to find a career path shall I go ahead with cloud computing or big did and analytics Praveen that’s a very open-ended question we definitely counsel you right in fact I would love to happen a one-to-one conversation with you right and understand.

What your background is because I have not seen your CV I don’t know what you have done but yes we definitely help you to understand your own career and you know suggest possible paths okay since the companies are using hybrid clothes that way it is good to know is your hand in a blues what percentage of it of Luis will be covering okay, so that’s a very numeric question Ashish I don’t think it is the question that we should be looking at because if you look at AWS honestly there are more than 100 services right and literally creating a user is a service I am okay just running a machine learning algorithm is a service.

If you were to learn all the hundreds of services on AWS it in the grand scheme of things it really doesn’t mean anything as a Solutions Architect right what you would want to learn are the set of fundamental concepts first and then the set of managed services that you have which you would want to build a solution for or and which you will need as an architect so if you look at the percentage I am really not sure if I have to calculate it manually because AWS adds what about multiple services every other week right.

It’s a very difficult question to answer in absolute number but to give you a data point people have become you know AWS a Solutions Architect both associate and professional you know just by pursuing the course the program right they have not taken any extra training they become architects and some people in fact have all the three associate certifications and even then they find out labs and projects to be insightful and meaningful right, so that’s the kind of testimonial you get and that’s why we believe what the labs and the projects that people are doing are really helpful even for people.

Who already have doubles certifications right so I hope that that helps you with some data Dani will so it’s an online course that will share obviously reading materials industry articles and all of that but we really do not share any hard books right there are no physical books that we share because that’s not what we are doing and what the material that you have in terms of instructional content additional learning resources industry articles and you know white papers and documents proves to be more than sufficient right but if there is a specific resource that you would like and if we have it available within our catalog we’ll be happy to share Vijay you can definitely pursue the program if you’re a hardware and networking guy Ashish.

We do not endorse any specific language but looking at the market trend you know python is something that you would want to learn from we do not teach python as a programming language because we expect you know people at least to you now understand and make sense of one programming language but if you are if you feel that you need to work on you know any programming language Python is something which you can pick up many timings will be conveyed to you once you enroll and the program office will let you know bridge Bihar how long training videos will be available to us right.

They’ll be available to you even after you graduate and you can focus if you know more than a year or two unless they become stale in terms of content right because TEC content becomes outdated and even if you have lifetime access it wouldn’t serve the purpose that you have but for your question, you will have access even after you graduate says and yes in-depth you will learn lambda in-depth fantastic okay so I children has a very good question if I’m stuck on a project on mid of the week will someone help us siren first in projects what you can seek is guidance right.

You cannot seek solutions okay so for labs absolutely in fact people in their class group on WhatsApp you know help each other a lot and more than 70% of learning comes from their own peers but because the project is an evaluated component you will not know you’re not expected to seek help from others or even the program office but as far as understanding the project and expectations are concerned if any teachers to you now reach out to the program office anytime right Praveen I’m coming to that.

Now that we have now that I’ve answered all the questions let me continue because we only have about ten minutes left and let us understand the rest of the specifics of the programs and we can take any final questions, yeah okay, so this is what you will learn in a nutshell right some of you had questions as to what we will learn so without developing into each of the points here these are the categories and buckets of your learning that will happen right, so there are foundational concepts that you need absolutely to become a cloud professional right without these concepts you wouldn’t be able to do your job as effectively as expected right so you learn foundational concepts you learn AWS as you are and I know much more beyond that right.

If there were a group of people who really wanted to you know get a sneak preview of Google cloud although it is not in my curriculum we would be more than happy to felicitate that right through an industry session or a special workshop so it’s not just limited to the curriculum it’s also about as a class what do you guys expect and of course, we can’t accommodate all you know variations of requests, but there is something meaningful that you would really want to learn about we really try our best to accommodate that through special sessions workshops and you know industry sessions as well, of course, you will throughout the program we will stress and emphasize and you know to push you to learn how to build a solution and not just consumer service right our idea is not to teach you ec2 or s3 or you know as your VM.

How to increase your computing capacity?

I’ll be good until this point sheet the intelligence in client-server the processing in client-server was with the server not with the client right your client could be a browser it could be a desktop application and so on which is connected to the Internet but in edge computing what we are saying is the server should not be throttled with all sorts of crossing lodging right, so the server should not have all the responsibility of processing you know some work can also be done on the client machines.

Some intelligence can also be sent to client machines right so to give you an example in point here if you have an IoT infrastructure for example let’s say you have a washing machine or let’s say you have a refrigerator that is IOT enabled right and that refrigerator is connected to your mobile application where you see all the analytics right what has been the temperature of your fridge in the last you know five months what has been the pressure the compressor health and so on right.

Let’s say if you have such a refrigerator now there are two ways to do things here you can either run the analytics algorithm completely on your mobile app okay that is centralized processing the other way to do is you can run some of the processing to save your server capacity your mobile you know processing capacity on the refrigerator sensor itself so if you do some algorithm in processing on the refrigerator sensor that becomes edge computing that is the edge of your iodine Network right and you’re doing some form of computing there which essentially saves your server capacity right.

If you compound this right it results in a lot of saving for a global infrastructure in terms of computing capacity you know the efficiency and so on Sheet does that answer your question just a small example of edge computing okay okay great and for your final question sheet is security concerned in the cloud, yes, but security is concerned everywhere essential right before cloud also security was a concern and it will always be because no matter what the computing infrastructure is there are a lot of people who are trying to hack into your systems and infrastructure right.

It is a concern but to tell you what if 400 billion dollars is being invested in the global market and if the FBI in you is using Amazon Cloud right and the government of India is storing your other data on a cloud right it’s business as usual right so it’s not a massive security threat but it will always be irrespective of whether it is cloud or not yeah okay so Shivani has a question she wanted there’s no difference to be perfectly honest with you right hosting is hosting no matter where you do it yeah so if you host your website on it is the same for you.

If you host your website on AWS or as you it is the same thing for you you get access to a cPanel you update your files you finalize your DNS you know the numbers these specifications and once the DNS is set up once you have a domain name once everything is done your website is up right so she money there’s no difference to be perfectly honest with you because hosting is always a remote and as far as the machine is a remote for us it means the same thing right Shivani does that clarify your question you are okay so I hope she run is still there I don’t have a response yet but okay let’s move on to the to the final phase of this session and we’ll again take questions towards the end right so what are we saying here these are the skills that an aspiring cloud architect should know and let’s see how to go about it right and then how can we help you before we go into what we offer from great learning and Great Lakes to help you upscale as a cloud architect a piece of advice here from employers around the world is please do not become a paper certified architect right try to become a hands-on architect who knows how to build solutions right.

When you’re approaching certifications they should be done after a significant amount of hands-on experience right certifications should act as a validation of your skills and not as a replacement of your skills right so you know work on AWS working as your work and Google build a couple of projects and you know solutions build a couple of labs and then go and do your certification right you know if you don’t do that you might get a certification but will not serve you well because guess what when you go in and interview right when you get into an interview room your experience takes over right.

Your credentials your degree your diploma you know certificates of appreciation are all there in that folder they are not talking you are the one who is talking about it, so your experience takes over and that’s what you should focus on building right that’s what we do as part of the program that we offer and the postgraduate program and flowered computing that great learning offers in academic collaboration with Great Lakes it’s a six-month executive program it’s a program specially designed for working professionals.

You can pursue it on the weekends while you know also doing your work on the other five days it’s a program designed for people who want to become cloud architects right now certainly all of you might not go and become cloud architects right you might have different priorities and ambitions but what I really mean here is all cloud professionals at mid to senior level should aspire to think like architects right, so that’s what we mean by people wanting to become architects right because if you’re an architect in your mind you will always take a balanced approach you will always take an informed approach to a problem right and you will also be able to say hey for this particular problem we don’t really need the cloud solution right all we need the cloud solution or we need a hybrid cloud solution right.

That’s what we want all of you to become as aspiring professionals this program specifically is is completely online and you will have no work assigned to you for weekdays as well as weekends and there are tons and tons of hands-on work and exposure as part of the six-month program who will you learn from you will learn from people who practice cloud in the industry right and you will finally have this certificate from one of the top institutions of the country which is Great Lakes’ institution Great Lakes Institute of Management and it’s ranked in the top 10 business schools in the country right even by multiple rankings just last year in terms of what would you learn right.

It’s a very holistic program it’s a very comprehensive program so you start with learning you know the fundamentals and absolute in an absolute rigorous fashion you learn AWS and then you have the option of learning either Azure or Google cloud right you can pick either of them you will also work with containers microservices DevOps cloud design patterns and private cloud as of now in OpenStack because you guys are going to think like architects you also need to understand numbers right cloud financials what is the costing of each service that you want to use adoption and migration pattern is hard to create a roadmap for your customers.

What are content distribution networks?

You might want to use ok that becomes a cloud service service because you are consuming it you are using it by taking from somebody else right but it’s essentially a piece of hardware that you rent from other people you might want to use a folder just a storage folder and you you want to store all the videos that you have right so that becomes something like a s3 object storage you might want to set up your own YouTube kind of website right.

You will need content distribution networks again condensed content distribution networks or CD ends are a service from the cloud right everybody is offering it so all of these things again there are more than hundreds of services that you can you know to take from cloud including the container services or micro services and so on, so there are lot of other tangential technologies which are driving the growth of cloud right and all of these things are being offered on cloud to make it easy and and you know efficient for you.

If you’re a database person if you would you know want to on the work on the future of databases people today are talking about data Lakes right forget databases forget data stores forget data warehouses people are talking about data leaks now essentially a concept which has you know all sort all sorts of data storage techniques right will have a data warehouse you’ll have a data store which is no sequel based you’ll have an R DBMS you’ll have a file storage which is objects store and so on right so all of that is again hosted and offered through cloud if you reckon.
If you’re an infrastructure person if you’re a developer know containers are a revelation for you right they’ve helped everybody knows docker everybody talks about docker and if you’re writing micro services based applications you you’re very likely to deploy them in in docker or other containers and because it becomes complex cloud gives you container orchestration services to help you all the complexity right there are companies today whose only product is a set of API’s right now it’s very difficult to imagine something like this.

You know a few years ago right there’s a company whose only product is a set of API straight a set of functions which other people are consuming, but that’s true today because cloud helps you do that right there is server less there is edge computing this IOT so all of these aspects are really driving and enabling the growth of cloud at a very high pace right so memory you’re talking about cloud you should also be cognizant of all these you know other streams of technologies so ultimately because of all that.

We’ve spoken right cloud professionals are in high demand and if you are really interested in something like cloud you should look forward to going into either of these domains and business buckets without going into the salary numbers here let’s understand a little more about what skills are required and what companies want from you as cloud professionals right like I just said there is much more to cloud than infrastructure it is not only about VM or storage or or a video file that you still remotely or or even remote desktop right these are very old paradigms that people have in their mind right about Klaus cloud is much much broader it is way way beyond than just a BM right.

If you are working on micro services or container based applications if you are okay if you’re doing all of you know things like docker you know DevOps if you want the past platform if you want to do big data as a start-up cloud can help you do that now just to give you a quick example here if any of you watches Netflix right I’m sure everybody knows Netflix if not as a user but at least as a company right, so Netflix is one of the best companies in the world as far as engineering is concerned and they have created amazing pieces of libraries API’s lot of tools for you to use right and micro services as a concept was really driven by Netflix right.

There are more than you know hundreds of micro services no small units or functionalities running together in sync really like a nice musical Orchestra to give you the experience that you have on Netflix right and that’s the reason they can scale up very fast globally right so just give you an example in context here, so the cloud is much more than just a VM yeah and as an aspiring professional you should definitely look forward to learning these skills if you want to become a cloud architect right for a cloud engineer you know cloud governance and cloud security even to a certain extent big data and data bases might not be that relevant for you know early career to mid-career professionals or for mid to senior right if you’re about 678 plus years of experience.

If you want to become an architect really you should have all of these skills as part of your portfolio and not just by theory but also by hands-on practice okay so I see two questions here one Shivani the other from Sheet okay so she Ronnie’s asking why banks are not using cloud why they are using their own data centers Shivani that’s not true first of all banks are using the cloud if you want you can also research about this but I will tell you that areas where banks are not using cloud right.

So banks are using cloud for applications and data which is not sensitive right which is not personally identifiable information pampa right so according to government regulations you cannot use person you cannot store personal information outside national boundaries right outside India outside EU and so on, so banks are using cloud but for things that are not no security sensitive, so money does that answer your question that that’s not entirely true by the way sheet what is edge computing all right.

So I hope you were aware of the client-server architecture that was the craze just about a decade back before cloud came in so Sheet Arya we’ve about declined some architecture the essential request/response thing yeah perfect so if you look at the client-server architecture the the processing the intelligence right and all the business logic got executed on the server right not on the client on the client you usually had you know things from a presentation perspective right the things got rendered and you got the response.

What matters for your processor speed?

It’s mind-boggling like 6 GB of RAM it wasn’t even there in a laptop right 10 years ago you have it in a smartphone today right so and so broadband the hardware evolution of the telecom sector the software evolution right there are millions of developers today writing code you know and it only increases every day so all of this essentially has made ID a little democratic right so until about you know many years ago.

Let’s say just before a decade IT was a blocker right IT was a headache in a lot of sense where companies were not IT companies themselves right so for banks for retail stores for shopping malls for hospitals for government organizations for schools and universities for payment companies, for example, IT is really a none has always been right and will always be an enabling service and enabling function a supporting function right.

So for banks of course if you imagine it today’s it’s a little difficult to relate to it if you do everything online but for banks, IT is really an enabling function right that’s not their core business okay so if they have 1,000 servers for example if SBI tomorrow has and comes to you and say hey I am going to charge you 1,000 rupees every month extra from your account balance because I have 1 million servers to service you guess what you will not be as amused with that you’re like hey I don’t care.

How many servers you have I just want to access my account and to banking right, so companies today have evolved they understand that IT is an enabling function and that they should not you know get into the hassles of doing a lot of things, ok so they are spending less time in looking at the servers and in trying to fight with them trying to keep them up all the time because you do not get points for using X number of servers right you only get points and business for servicing your users right, so that’s why companies are excited about the cloud because cloud takes away all of this headache you know all of this hassle of both hardware and software and lets you focus on what your business is right.

What’s your core concern these are just some of you know some of the examples some of you know new-age companies which have used cloud at a global scale right they’ve grown very fast they are the companies who’ve done their IPOs you know fundraises very quickly who’s served you know millions of customers globally across geographies and such a hyper-growth environment such a list of hyper-growth startups is not possible when you have IT which is a barrier right remember capital expenditure for a small business.

If you had to buy 100 servers tomorrow as a new company guess what it’s a lot of costs right even if you say you know 2 lakh rupees per server it’s a lot of money that you need to put upfront unlike what it’s loud off you see right as a utility model you use these 200 servers to speed the bill in and go home right you can come back and again take those machines now so these are just some of the examples where this kind of these have grown really fast and that’s why people are excited about the cloud so tomorrow if you are you know an aspiring entrepreneur if you have a startup idea.

If you think that ID is something that I really need to worry about well a cloud can help you there right and it depends on certain use cases but it’s a lot of help that businesses get out of cloud computing a few numbers here to convince you further about the case of cloud computing so if you look at really the second row here the middle row are all I want to show here as three boxes so if you look at the first two boxes in the middle row it’s certain it’s telling you what are the top two players I’m sure most of you will be aware of this that AWS and Microsoft Azure are at the top to market leaders as far as cloud computing is concerned and the third thing that.

I want to show you is the top right box with it says 85% of companies are using multiple clouds so almost all the companies are using more than one cloud platform the top two major players are AWS and Shod and if you were to become a cloud professional you should definitely learn AWS and it should definitely also look forward to learning ashore right especially if you’re a Windows ecosystem person especially if you have windows bag non-professional right if you’re developer.

If you have been a Windows person throughout as you are something that you should have definitely done but again it is just a point where Microsoft has evolved a lot especially under Satya Nadella and this is equally good for Linux as AWS is right in a lot of sense, so azure is not just about Windows that’s a myth as you is also about Linux and all kinds of things that you can do on AWS so as you are in AWS are the top two things you should aspire to learn as far as an aspiring cloud professional the growth in the ecosystem is not just happening globally it’s also happening in India as well right.

If you look at this over the last four years and also projected in the next year the trend is quite a linear right it’s growing every year and if you look at 2020 it’s almost three times the growth right, so the growth is also happening in India not just globally if you talk about what kind of cloud people are using there are different ways to deploy a cloud so when you say so that CV is essentially right, so there’s public cloud there is private cloud and there is the hybrid cloud right it’s a public cloud is a cloud infrastructure which is open to the public, not just companies right.

For example, when you say AWS as your Google Cloud etc are public cloud platforms even an individual can go and sign up for you know a Google cloud account or azure or AWS account and start using all of their services right that’s public cloud open to everyone on the other hand private cloud is meant for specific enterprises meant for you either your own company your customer’s company and is a closed ecosystem right, so the private cloud is meant for individual enterprises public cloud is meant for everyone having said that when you create something for yourself on the public cloud.

It’s not that it is public to everyone right it is your resource nobody else can access it so in terms of security public cloud is equally good right if not more than compared to the private cloud but without going into the security aspect and a lot of other things public cloud adoption is quite a high right and again if you see a double use as your other top two players Google is really catching up fast if you look at last year’s Magic Quadrant from Gartner Google Cloud is the third leader right according to Gartner.

It’s really the third leader essentially and my personal you know feel about Google cloud is that it will really ramp up fast because of all the basics being correct right, so these are the top three platforms and then you’re searching certainly watch out for google cloud because of their you know strong platform and their focus on enterprises right and giving more of a packaged approach to all the services an IBM VMware our oracle are more active in the private cloud space, but IBM certainly has a public cloud.

How to use (NPL) Natural Processing Language?

My focus was more risk in operations and I was leading a team of data scientists after their right so within my previous role I was working on a use case where we were using you know for we were trying to optimize her customer care spend call center to spend.

What we’re trying to do was using natural language processing NLP which is a deepening technique we would figure out and also utilize understanding by understanding exactly you know what kind of activity has a customer done before calling us it’s so basic idea is that people have issues and then that’s the reason they call customer care for an easy resolution right so we try to understand and try to predict that what would be the reason before they called us if they called us.

What could be the reason that disguised calling us and using some of the initial sentences which deciphered end we changed the idea menu so that the first two options would closely match what this guy was the reason this guy’s calling for like and then what we realized was in 60% of the cases where this guy would have otherwise moved to her to speak to an agent the query was resolved in a much shorter time and with no cost because we had the solution ready for that customer so some of these use cases so many companies many businesses have these customer care centers and call centers right.

Now imagine some of these use cases becoming more popular and they become utilizing it they have to write because if the competitor can cut their customer care center by cost by half and if they’re not able to then they will lose the competitive edge so so this is a particular specific use case which I have done using deep learning, but this is it’s a good example on why when every company has to go through this journey and start adopting some of these advanced techniques right and what it means is that the jobs’ creation in machine learning and AI and deep learning will happen first of all it has been happening at a very healthy rate right now.

So in the last five years, we have seen 5x growth in jobs for AI right and ASSAM predicted that in 2018 last year that we have created a hundred thousand jobs in machine learning and AI in India itself right so we have seen that they seem very healthy demand for machine learning in AI but as he’s going on this rate this demand is going to become higher and higher and higher right because of some of these rapid developments and use cases and companies adoption right off some of these techniques okay, so this is a slide which summarizes exactly what kind of trends are emerging in AI right.

I want to you know I talked about the bottom right corner which is for point-like 5x growth in jobs requiring high skills since 2013 in the five years since 2013 we have seen 5x growth right the other thing which I want to point out here is the error rate which is the middle left and the adjacent box has gone down from twenty-eight point five percent in 2010 and in seven years it has gone down to two point five percent right and for Facebook B phase that is now in 2018 it was only 83 basis points right so now with thinking drastic improvement in the algorithms a lot of use cases which as I was describing some of these we cannot go to market with a 30 percent error rate within some of the use cases but you can definitely go to market with any 80 basis points every bit.

So when these use cases are now becoming more and more mainstream right and can now be applied to a variety of business problems so so then that is what is fueling this growth in demand for AI and creating a lot of jobs in AI right the other thing which I want to point out here is that 84 percent of companies have already invested in AI o me that’s a staggering number right 84 percent and I was surprised when I looked at this number because from our popular perception from talking between us from our between appear to grow among appear group right the sense that we would have the others would be of a lower number but 84% is staggering I mean that’s.

We do see that momentum building towards more jobs and more demand for AI and we saw that happening, ut this momentum is building to get more and more of you know these jobs created Nicola right and these are some of the charges which this point which means the same point which I was making that if you look at the trend of AI course enrollment that is just picked up beginning let’s say 2013 2013 2014 you see a dramatic change in the slope right and that’s where these some of these use cases are becoming more and more production-ready.

If you look at ml course enrollment the chart picks up a little earlier it picks up from 2012 right because machine asset business machine learning has been fairly pervasive and I think some of these guys some of you who are in the service sector would also have realized within your work in the kind of projects that you’re you’re getting from your clients these days.

I think that most of these projects are in machine learning there is a marked shift in the kind of projects that are coming from some of these companies right in you would also even otherwise in your workplace you would see that this is a kind of shift which is happening and if you break it down further these are the skills which are come which companies are looking for which is a machine learning deep learning and again we see that there’s growth since only 16 right and it’s just growing at a very amazing place and all of the skills which are in demand machine learning deep learning natural language processing computer vision speech recognition right all of these skills are first of all they are within that realm of machine rolling in AI skills.

These are all the skills which we also teach in our program and you will learn in the program late the other indicator is GitHub stars which basically is you know awarded to people who are contributing meaningfully who get up and get up as a repository where some of the special professionals using machine learning and AI techniques use as a platform to showcase the kind of work that they’re doing right and you see what we see is that TensorFlow which is a library use for more deep learning algorithms in sci-kit-learn is a Python library which is used for machine learning algorithms right.

We see a much more rapid trend or increase intensive flow since 2016 almost starting from the same level as we see that TensorFlow is now growing and obviously the machine learning algorithms also currently and by the way GitHub we in the program be also us get up because the idea is that whatever you do in the program so during the program what each participant gets to do with us is to work with a lot of projects in lab exercises right and all of these are based on simulating some of the business decision or business situations and you know all of the algorithms that you apply you can get a sense of how do you get to apply that in your business.

All of these projects are submitted on GitHub and then each participant builds a repository of projects that he has done on GitHub which again can be used to showcase the kind of experience the kind of learning each participant has and what you observed is you know for this technical community for the community which is working on ml in AI that’s the kind of frame we also see for let’s say for job applications or interviews where people expect to look at your published work and this is a marked change from the previous kind of skill set how the skills were assessed right.

I mean early they used to be a lot of in-person interaction and talking about your experience and all that today the whole shift test awards show me what have you learned to show me what have we worked on what kind of projects have you worked on the right unless discussing on the specifics of that project so having GitHub repository helps in so casing very easily even on the LinkedIn right the kind of projects at your work now and the kind of knowledge that you have in these areas right and the other point is that you know this AI story is not just standing out in the US or in the developed markets it is equally panning out in India like in the last decade the kind of model service model that we have employed in India right.

What is the logic behind all the Voice Assistance?

Nowadays it doesn’t ask us to lock it automatically recognizes people in the photo and whatever tagging that he had done provided for the learning for this algorithm so I got them learned to use that data and now it has become proficient enough to start matching human-level accuracy so this algorithm for accuracy is now 99.1 4% while human accuracy is just tired ahead at ninety-nine point three zero percent right good.

So now obvious single Gotham’s which are mirroring human-level accuracy but when we say narrow eye it is more about doing a specific task and doing it well the second stage of AI is generally I like in the example here and more let’s say your voice assistance like Alexa Siri or Google Assistant right so Erin you can ask you can talk to your voice assistant and ask that voice assistant a plethora of things you can ask it about the weather about a school for a game you can ask you to set an alarm right and later you can also ask follow-up questions with algorithms.

If you say something in some context ask a question some context and follow up another question the algorithm will retain the context it will know exactly what is it what context are you talking about right so so this is more, so these algorithms are more purpose to handle a variety of tasks and use interlink knowledge from one domain to another so then so so that was the example that is the second stage is Istanbul AI and the third stage of AI is super AI right in which kind of now goes into the realm of science fiction because right now we don’t have algorithms which are which can be categorized as super AI.

What super a mean says that sentient machines which have their own intelligence which have the context right which can act independently and are inherently smarter than humans right because once you impart intelligence to machines like the kind of data reading rate that they can access the kind of memory that they have the kind of things that they can link even now far exceeds that of a human so if you add intelligence on top of that then these machines become smarter than humans, so this is again this is on the horizon nobody knows what’s the fine line to this right and this is now going to the realms of but right now it doesn’t anything like this exists and it is now going to realms of science fiction and you know you know movies like dominated, etc so I just want to quote hang here.

In doing as you all know is a leading you know researcher and faculty in AI and machine learning across the world, so his coat is I worry about super AI in the same way that I worry about the overpopulation of mass right so from this code we can understand that this is a very far-fetched idea at the moment although from the recent trends what observed is that been a belief whenever we think of an idea is far-fetched.

We have been surprised and ideas have come to fruition much much sooner than we ever thought they would for example the voices sustained you know these days there’s a voice assistant in all our all of her pockets you know in our phones in terms of either Google an assistant or City it is there for all of us to access but the whole idea about a wise assistant or up coherent product which was demoed was only in 2016 right in Google i/o conference.

So within three years from becoming Justin from being just an idea this kind of technology is now ubiquitous it just resides with everyone we can access it like it is deployed at production scale and all of that like then it is very very accurate as well right similarly that say when I heard personally of Amazon go stores so I’m not sure how many of you are familiar with Amazon goes towards promises on both stores are essentially stores which are cashier-less so again the idea was coined in.

I think two years ago and the idea was that you can just walk into a store to pick anything from the shelf and then just walk out and you’d be automatically billed right and imagine the kind of accuracy need to have the kind of algorithms at play to be able to decipher what have you bought right an accuracy that you need to correctly will the customer right because of you go wrong building you know the product like this can never succeed you cannot be billing customers with the wrong amount right.

I thought personally when it was the cool idea was coined two years ago that it will take another five-six years for it to be implemented right but do have a surprise and many people are aware that we didn’t do yours last year late last year Amazon actually opened some of these stores in San Francisco in the Silicon Valley area of the United States in San Diego and La right so so we are now constantly being challenged on how much can we think how far ahead of anything right and whatever we think is going to think to take X amount of time is now happening much much sooner.

Yeah, so it does super AI do seem like a thing of the future but again we may be surprised and it may just happen much sooner cool so from that context on what is and what are the stages of AI let’s also try to understand some of these terms which are now used by everyone and there is a lot of overlap in these terms right beef everyone is talking about artificial intelligence everyone is talking about machine learning about deep learning right but I’m not sure that everyone knows about what is the distinction between using AI or machine learning or deep learning, okay, so AI basically is the umbrella term for anything which fit which machine does which can be termed as intelligent right so anything with where it is independent and taking its own decisions and be called as artificial intelligence.

It can be very rudimentary can be rule-based as well right even if you let say you know program your microwave for you know fully to run differently for different kind of food that also has intelligence like automatically if it runs so it can be very rudimentary but any kind of behavior which a machine is displaying which you know does tasks in an automated fashion where some calls have to be taken of the machine is taking it independently that has coined as article intelligence within that realm right there is a subset of that which is machine learning.

Machines which are powered by ML Algar so data science algorithms which are a slightly more complex kind of algorithms right which involve an element of learning rate which and by learning what I mean is that if you run these algorithms multiple numbers of times every run these algorithms will become better and better either this and learning you there’s a feedback loop by so what the algorithm does is it looks at the output it is producing the output which is desired understand from what is the difference then and then self-corrects to improve its output as it goes along okay.

So that is all machine learning so all of these concepts of random for s and supervised learning ensemble techniques right all of these techniques are used under this umbrella of machine learning and a lot of organizations use machine learning techniques to make their presence decisions and business decisions can be let’s say forecasting sales or figuring out who to go and do them with who to market or should they enter a particular market or not in all of these business use cases nowadays what organizations use are fairly advanced machine learning techniques they’ve gone on the days when you know there used to be only one ad targeted at everyone in a newspaper around or on a TV channel right now.