In an MIT report, students explain what AI is. “It’s like a baby’s or a human’s brain, because it needs to learn, and it needs to store and use that information to make sense of things,” he says.
For a 10-year-old to give such an explanation for a phenomenon as vast as AI means we’ve come a long way. AI will always be there, and we use it every day, whether we know it or not. The place of artificial intelligence (AI) in the future of education is the subject of intense debate. Fans of the technology argue that schools need to adopt the technology and use it to provide a more effective educational experience, but critics say its adoption has many negative consequences. I am afraid to bring
There is no clear consensus on which point of view is correct. AI doesn’t have to be a one-size-fits-all solution. As with most technologies, a thorough understanding of their strengths and weaknesses is necessary for their safe and successful implementation. We held monthly roundtables to gain more insight into this.
Moderator of the session Rasnakumar UdayakumarNetradyne Product Lead Cloud and AI, with experienced panelists, Chiranjeev RoyVice President – Applied AI for Industry 4.0, Course5i, Deepika KaushalVice President of Piramal Capital & Housing Finance, Shan Dugati MatadoData and AI Leader – Senior Director at Ascendion, Parikshit NagHead of Data and Analytics at Indus OS, Anand K. SundaramHead of Retail Analytics at IDFC First Bank.
speed up to catch up
AI has been here since machines were invented. nothing has changed. The basics never change, and they never change themselves. The challenge is that academic institutions, especially in emerging countries like India, have not picked up the pace of AI. The last 25 years have always been devoted to software development. Because everyone was looking at Java. Now you can do it all with Generative AI or ChatGPT.
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That’s when you want logic and you want data. You can see the premise there. Economic institutions, especially in emerging economies, were not prepared to do so. We’ve seen a lot of what academia and business need to do together. But really, it’s not because of today’s diversity. We are India’s largest, largest population. I don’t even know how deep and diverse the numbers of people who are swooning are.
– Chiranjiv Roy, Vice President – Applied AI for Industry 4.0, Course5i
I can’t help but blame!!
It’s amazing how far we’ve moved from information being restricted to elite parts of society. We are accustomed to information-based education produced by 10% of society, while the remaining 90% of information is duplicated, duplicated and consumed. But now we are entering a transformational path of learning things.
Sections of society that had limited exposure to new ways of learning new things and new trends are now easily accessible. There are no boundaries or socioeconomic conditions in sight. We are educated and some may not have access to quality education, but quality of education matters too, networks matter, exposure matters. There is another set of challenges.
– Shan Duggatimatad, Data and AI Leader, Ascendion Senior Director
it takes time
No change is easy. Moreover, it is not something that can be done immediately, and it will take time to establish itself. Institutes and academies have been booming in recent years. The kid learns her mobile app at age 8, but knows nothing. It is a stage of transformation. Also, in the process of change, it can take time to get the right things in order. It’s like a double ceiling for everyone.
– Anand K Sundaram, Head of Retail Analytics, IDFC First Bank
online boom
Analytics is all about predictive modeling. Everyone thinks some models will run and change the world, but analytics is a combination of business, mathematics and statistics. These are the basic combinations that a person needs to know. From an academy point of view, I think they should all blend together. If they want to keep pace, the first thing is to get all the kids you’re teaching right on the basics.
Online courses are a bit boring as there is often no live instructor. Similarly, India’s current academia is not really an institution of knowledge. Analytics is the future. If you get certified, you get a job, and people come to work and struggle. We don’t see much knowledge, nor do we teach people how to survive in our environment. Because that’s what we do, especially when we have to deliver results.
– Deepika Kaushal, Vice President, Piramal Capital & Housing Finance
Merging value and viability
Companies say you can be the next Steve Jobs if you learn to code at the age of 6. Probably not. And if you become the next Steve Jobs, it won’t be because he started the course when he was six years old. The rate of evolution of AI has really touched all three of these subjects (mathematics, statistics, and business), and has formed a strong foundation for students, much more than learning about NLP. I think it’s important. Or a large language model, some course or study on decision trees, and fitting to Titanic’s dataset.
Institutions use some of the available open source datasets, but that doesn’t make sense. But if you ask them how decision trees work they will just get upset. If you think of AI as a course, AI is evolving rapidly. It makes no sense at this point to standardize it into the curriculum. One thing that is sorely lacking in India is exposure to the industry. And there are gaps on both sides. If you look at academia, there aren’t enough industrial projects scheduled.
In a real-world scenario, if you look at most companies, they don’t have strong AI or R&D departments, and are basically just focused on research. Most AI teams in enterprises have several business goals they need to achieve. And you have to make it happen within a certain timeline. Because AI is expensive. I think that gap needs to be filled really fast.
– Parikshit Nag, Head of Data and Analytics, Indus OS
We need to adopt an education system
It has two sides. Education is not only about technology itself. I don’t think we are there yet. Not every lab really has a head. what do we teach our children? How can we make it easily accessible and easily understood by school children and college students? It is about educating and raising awareness about
Some people call it a magical curse. So technology isn’t something that happened yesterday, it’s an explosion of consciousness. So the technology itself isn’t that complicated. we can train people. But how do we harness the power that needs to be both created and educated? No lab is ready yet.
– Shan Duggatimatad, Data and AI Leader, Ascendion Senior Director
Ethics and compliance
There is no standardized framework in India yet, although there is even a global one per se, but it is starting to seep into the ecosystem. is beginning to permeate the The second is about data literacy. Why would you actually need to classify your data? In other words, it’s pretty easy to store your data somewhere in your data lake and make it accessible to everyone.
But should the available data be accessible? Or should it be accessible to everyone is a very important question. The point is about the classification of data, where PII data is masked and kept separate, not accessible to everyone, even those who actually have permission, and to ensure that the data is deleted after a certain point in time. always constrained to This is good practice, but it takes time to actually standardize this to a particular bill. I think standardization will take time, but I think there will be something related to ethical AI.
It’s going to be more personal responsibility to say don’t invade privacy. Let’s make sure we do something. It is the responsibility of the organizations and institutions that actually instill this kind of thinking.
– Parikshit Nag, Head of Data and Analytics, Indus OS
I am very excited to see how the two industries will combine and what opportunities will open up.
In conclusion, the only way better than learning from your mistakes is to let a machine learning algorithm do it for you. – Rathnakumar Udayakumar, Product Lead Cloud and AI at Netradyne
This article was written by a member of the AIM Leaders Council. The AIM Leaders Council is an invitation-only forum for senior executives in the data science and analytics industry.To check if you are eligible for membership, please complete this form
