 I love AI already. I just did a hair transplant and showed you the beautiful hairstyle. Thank you so much for coming to this session. I thought I would cover the empty part but I am very glad it is packed. So what we are going to do today is I am going to give a very short talk. It is about the importance of AI and how do you choose your projects? Is it worthy to have AI or not? Let us begin. Someone asked a question which is at some point in our lives. What I have thought, hey you know what I wish I had to sleep apart. It would be like I want to go to the university world or I want to time travel, I want to take the world of the world. How many of you here wish that you could predict the future? With which show of hands? How cool would it be if a new world is going to happen tomorrow, today things are very important. How cool would it be if you just know that there is something coming in the technological world and shake up the entire platform. So that you can start preparing for your full hand ready for that new transformation. Luckily, that is not really part of it. There is a lot of tools today which already lets you do that at some extent. One such tool is called as the Cartman's hindsight which I am sure that you have seen in this audience. But I have heard about it. I have already used it in your career for a long time. This curve is very simple. What it does is it has five phases in the life. Depending on where the technology is plotted in this graph, it tells you whether the technology will be going mainstream in the market or will take option. This is how the curve looks like. I would like you to just go here and look at the world, make up. It is very interesting, very powerful and it is directly put into your work. So this is an example of the curve where you have all those dogs, each one with a different technology. What is interesting here is for the last five to six years, there has been one technology which has been plotted in this curve. No prices for the cases, it is actually the AI. So the idea here is last year, not once but twice the AI was mentioned here. Similarly, the AI was mentioned twice which means that that curve has been plotted with a dark blue colour which stands for I am sure people in the back can't see it. Last time it says that it is five to ten years which means AI will go mainstream the next five to ten years. Where most of our audience will have something of a direct reach to it. So long story short, the key takeaway here is whether you like it or not, AI is here to stay. Okay fine, so AI is here to stay. Is that a good thing or a factory? There is this debate that is going on slightly for some time now where one set of people believe that AI is evil, it is destructive, it is going to take away all the jobs. The other one is we have people who think that it is just a buzzword, right? Like IoT and silverware class is going to be there but some of them will be in the market. What I believe in is that it will be a middle ground where of course AI can't look at it at least right now but in the near future it is going to transform the distance. The word that is important here is transform because for you and I as designers we need to upscale and adapt to this new certain future. But there is always a catch right? So just because AI is printing is the buzzword it is going to be the next big thing in the world. Doesn't mean that AI is put in every corner and position. Don't force AI into places where it does not belong. Now this brings up another question which is hey how do I even know whether my product needs AI or not? We are going to spend the next few minutes understanding this question, alright? For that let's take up yesterday. The problem statement is let's take elderly people as a direct resource and they have people keeping up with latest news and events because they don't have access to genuine, honest, trustworthy news and articles because of which they feel isolated and they feel they are missing form. So if we are designers trying to solve this problem statement how will we do that? Let's say I just do a quick workshop and we spend a couple of hours and we generate some very obvious ideas and we put them into two problems. One solution with AI and one solution without AI and let's see how that would look like. The first thing let me take as personalization. So here one very obvious thing you could do is you could ask elderly people who are certain chosen areas of interest and you could give new speeds specific to those areas of interest. And a solution without AI does this and a solution with AI what you can do is probably a step ahead where you can watch for the adaptive personalization. Sorry there is a bit of... I wish the AI could solve this problem. Awesome. So with AI you can watch one as an adaptive personalization where the user has not chosen any of interest. It can understand any habits and give you what possible news article that you might love. Now let's take a second theme which is localization. Without AI just to have a better reach and a more immersive experience you could have this local language support. Now with AI obviously you can do this but it can also do a lot more because you can curate summaries of long articles. You can do language translation and a lot more with AI. Let's take one more thing for last one which is how do you address isolation? Without AI today many people do this already in apps where you have some kind of plug-in which lets you give access to latest events and community activity that is happening around you based on interest location. The user can go out and make networks go on etc. Now with AI you can do this but you can do something more which is the AI can actually make a digital companion where it can give you a news article you can converse with it, you can have a chat over it and the solution becomes like a company of sorts for you. And what can also do is information filtering. Rajat before we just mentioned that we have certain movies which are the first thing that are dramatic. So let's say if you want to mind the mental health, the wellness of the elderly person we can filter out information which can give a potential harm to them. We just give motivating uplifting articles which kind of improves the mental health instead of making that. Now having seen this what we can realise is that the same problem statement can be solved with AI and without AI. With AI obviously it was more smarter, better and more updated but without AI it didn't do a bad job on the program because the same core user needs was actually met with both these approaches. Now this brings up a lot of questions. So when do I decide that my problem statement truly needs AI or it's better off without AI? So the key answer to this is it all depends on your project goals. The more elaborate answer would be these three aspects of your project goals is what determines whether your AI solution is needed or not. First is cost. How many of you knew this about this global article which you went to write last week where it was about open AI and Microsoft it only spends 5-6 crore rupees and you can currency for just taking charge of it and running for once in a week. AI is expensive, it's a monetary point of view. It's not just a monetary point of view, it's just a point of view. Getting hold of developers and developers who are already at AI there is still gaps in the very, very costly. And lastly, data. To get accurate AI data, you need a huge trading model of high quality. How do you make sure you get that quality data which is kind of very expensive? And the next thing is user needs. Once let's say you have answered a positive thing you show that your product can afford it. The next key question is user needs. If you create a solution which is AI background, are you sure that AI solution can have a better performance or efficiency or overall user experience? Are you sure that this will happen with AI and that non-AI solution cannot do this? Something to probe about. And lastly security is a huge concern about privacy being at stake when you have AI in your solution. So how do you make sure that you as designer can take care of that? You as designer can make sure that there is no misinformation happening because of wrong things very data. And how do you make sure whatever AI solution you present to the user you are transparent about it. You also tell how that AI solution works at the first place. And lastly bias. How do you make sure that you don't have any kind of cultural or gender bias within your solution? So I'll just give one quick example. Here also a few months back there was this small girl from an operated family who went to an AI solution and typed hey show me women leaders of each top order category unfortunately the AI result was all women of phase 3. So that made the small girl believe that you have to be phase 3 because of how destructive AI is. If you don't take care of these concerns. So the summary of my talk here is if you want to make sure that you have to be confident that you should have AI solution or not make sure that you answer these three critical aspects and the answers to these three are certainly yes then the probability that your solution would benefit with AI is extremely high. If not, you might as the better of the solution is the right one. That was my key idea with all of you. Hope you like that. And my name is Sudeep. I'm going to have a chat with first hope. I'm here until 6 p.m. today. That's a good time and we can talk more. So one question I have was that you had mentioned that AI is here to stay and you showed these three parameters on which we should be judging. So cost is something on which it's easy to get agreement across stakeholders. I mean obviously everyone relates that if there's no money honestly they will not do it. How about the rest of the two when you're in Rome and probably not everyone is in the interest of maybe security or maybe long term effects and like the African girl you mentioned. I mean these are ethical things and ethics is subjective to some extent. Like it should not be ideal but how to navigate that which we are in Rome. Very good question. But yeah if you are in a room which has these aspects raised in a strong way where they want to be able to understand what you are seeing to problem the wrong one first of all. Right. And as designers it's our duty to make sure that we take care of ethical designs. Right. If they can't understand the value of it in the first group, can we show it to the prototype or have it with the research and pointing them the flip of the iceberg of how a domestic can be and probably help. There's only enough articles out there that one wrong group can make AI available. Right. So probably those examples can help. All right. Thank you so much for the audience. Thank you.