Ep 22- Shaping the Future of Learning: How AI is Transforming K-12 Education. Ft. Supriya Bhuwalka

[00:00:09] Welcome to another episode of the Do Big Podcast,

[00:00:12] where we spotlight the trailblazers and innovators shaping the future using technology.

[00:00:17] Today, we're diving into a critical topic that's reshaping the educational landscape in India –

[00:00:24] coding and AI literacy amongst young learners.

[00:00:28] Joining us today is Supriya Bhuwalka, founder of Coding & More,

[00:00:32] a pioneering organization dedicated to empowering the next generation with essential digital skills.

[00:00:39] In India, where over 250 million students are enrolled in schools,

[00:00:45] the integration of technology and education is no longer an option, it is a necessity.

[00:00:51] Despite the rapid growth of the tech sector, many students lack access to quality tech education,

[00:00:57] which is where coding and more steps in.

[00:01:00] Their mission is straightforward yet impactful – to make AI and coding education accessible,

[00:01:07] engaging and effective for K-12 students across diverse linguistic and cultural backgrounds.

[00:01:14] With a focus on building foundational skills like critical thinking and problem solving through coding,

[00:01:19] the company is addressing the gap in tech education that many young Indians face.

[00:01:25] Today, we'll explore how coding and more is not just teaching coding but fostering a generation of thinkers

[00:01:32] and innovators who are ready to tackle the challenges of tomorrow.

[00:01:36] But before we get started, I'd like to introduce my guest, Supriya.

[00:01:41] Supriya Bhuwalka, who is the founder of Coding & More,

[00:01:45] has started an all-women organization that helps upskill women

[00:01:49] and gives them opportunity to work flexiton and from home.

[00:01:54] Her work for AI literacy has also been presented and recognized by UNESCO.

[00:02:00] Her education is from Wellesley College USA, she's a double major in math and economics.

[00:02:06] She was invited to the prestigious Pre-Beta Kappa Honor Society

[00:02:10] and the Omicron Delta Economics Honor Society.

[00:02:13] In 2022, she collaborated with India AI to bring India's first AI literacy booklet for all.

[00:02:22] Welcome, Supriya, to the Doovic podcast. We're really eager to understand the space and detail with you.

[00:02:28] Thank you, Sheetal. I'm very excited to be here and speak about a topic that's really passionate to me.

[00:02:33] I'm so thrilled that somebody is really looking at students

[00:02:36] and not looking at coding from just the whole thing of,

[00:02:39] oh, there's four more on my child's national coding.

[00:02:44] When I was reading your website, I was so pleased to see that it was beyond coding

[00:02:50] and was really allowing kids to understand critical thinking because coding needs that

[00:02:55] but it can be applied to other aspects of their lives.

[00:02:59] So that's really nice to hear. So tell me what inspired you to start coding?

[00:03:05] So, Sheetal, I've always been in education.

[00:03:08] I used to help children who were aspiring to go study abroad

[00:03:12] and then I started a franchise for math and English. It's an international franchise

[00:03:18] and I was itching to do more and it was in 2017-2018 that I saw

[00:03:24] that coding is now accessible to younger children with low code, no code kind of environments.

[00:03:30] Coding is applied math and I'm a math person.

[00:03:33] So I said that this is something I need to explore

[00:03:36] and interestingly enough, I have a young daughter for whom I was looking for a coding class

[00:03:40] and I couldn't find quality teachers or a quality program

[00:03:44] and that's how coding and more was born.

[00:03:46] And with my heart also aligned to helping other women like me

[00:03:51] because it took me a long time to get into business by myself.

[00:03:55] I thought that coding and more could be that platform where I can help other women upskill

[00:03:58] and work on their own terms. So it was the two passions of mine,

[00:04:02] educating children and helping other women.

[00:04:05] That's fantastic. Tell me as an entrepreneur what were the initial challenges that you faced

[00:04:10] while setting up the company specifically when it is about children

[00:04:16] and it's also about upskilling women, right?

[00:04:19] So it was you almost picked up two challenges at the same time

[00:04:22] and so what were those challenges that you faced as an entrepreneur?

[00:04:26] So I think that fortunately because I had already forayed into running my own franchise

[00:04:33] I had learned the different aspects of a business as an entrepreneur

[00:04:37] but with coding and more the challenges that I faced were very intrinsic to the line.

[00:04:42] I started with coding but very quickly I pivoted to AI

[00:04:46] and this was in 2019, 2020 when people were not really aware of what AI is

[00:04:52] and so AI found it difficult to get parents to sign up.

[00:04:56] It was only the ones who were well-read.

[00:04:58] It was a self-selection sort of a thing who enrolled in our program.

[00:05:03] Being a math person, I'm not really from the tech side

[00:05:08] so I had a bit of an imposter syndrome that am I doing the right thing?

[00:05:12] Am I on the right track? Am I doing the right service?

[00:05:15] But really quickly, I think we started around in March

[00:05:20] and in October we were invited to have our children present their work

[00:05:25] in the World AI Competition and they had just done 8 or 10 classes

[00:05:29] and some of my children competed against Chinese children in the US

[00:05:33] and they won and I was like, I am validated.

[00:05:37] But the challenge was really spreading AI literacy in our community

[00:05:42] and getting teachers to believe that they could be upskilled

[00:05:45] because in order to do life teaching you need good quality teachers

[00:05:49] so I also had to chase people who I believe were good to say

[00:05:54] you know what, I'm going to teach you do this with me.

[00:05:57] Challenges are a part of life.

[00:05:59] And have the challenges kind of eased over the years?

[00:06:02] Have the challenges changed over the years?

[00:06:04] What are the new challenges now?

[00:06:06] Challenges have eased in the sense that with the JNAI tools

[00:06:11] you know now there is more awareness that yes, AI is important

[00:06:16] and you know I think people don't realize that AI though it is a technology

[00:06:21] it is really something which is an all-purpose tool that everyone needs to be aware of.

[00:06:27] So that self-selection is slowly dipping

[00:06:30] and we are having more people come in with a better understanding

[00:06:34] but the new challenges are how do you grow without losing the quality?

[00:06:40] You know, without losing the essence of the company which I am very mindful of

[00:06:44] that I'd rather you know do X and do it really well than do 10X

[00:06:48] and lose the mission of the company.

[00:06:52] That's interesting, we'll cover that in a bit but you know you've been doing

[00:06:57] you've introduced new frameworks, you've talked about the five big ideas of AI

[00:07:02] walk us through the framework and the five big ideas that you have

[00:07:07] and how they shape education for kids.

[00:07:10] You know I'm so glad Sheetal that you guys have done this research

[00:07:14] and know about the five big ideas.

[00:07:16] The five big ideas is a framework which has been designed by leading

[00:07:21] US professors from Carnegie Mellon MIT University of Florida

[00:07:26] This was done way back in 2017-2018

[00:07:31] and I was very fortunate that in my research I came across this framework

[00:07:35] and I aligned our curriculum to the five big ideas.

[00:07:38] What are these five big ideas? These five big ideas are perception,

[00:07:42] representation and reasoning, learning, social interaction and societal impact.

[00:07:50] What these mean is that how does a computer you know learn from the data

[00:07:56] that is collecting through the sensors, that's perception

[00:07:59] representation and reasoning is how does it extract meaning out of that information

[00:08:04] that it has gathered. Learning is that the computer is able to learn

[00:08:09] you know either through the examples given by us humans or through the patterns

[00:08:14] that they see in the data collected. Social interaction is the fact that

[00:08:18] these computers can interact with us what we call NLP or natural language processing

[00:08:21] the fact that we can talk to the machines in our language rather than

[00:08:25] having to learn their language which was coding and societal impact is

[00:08:29] essentially that this technology has a positive impact

[00:08:33] and a negative impact and it's important to cover both what we call AI ethics.

[00:08:38] So since our curriculum is aligned to these five big ideas

[00:08:42] it gives students a bird's eye view of the AI landscape which is not black and white

[00:08:48] it's very great and it helps them to become responsible consumers

[00:08:55] responsible creators of AI

[00:08:59] and it just makes them more mindful because today even if you're not in tech

[00:09:03] you're interacting with AI anytime you're on a connected device

[00:09:07] so I think that this five big ideas was a really broad framework

[00:09:12] which gives you a bird's eye view of the AI landscape.

[00:09:16] You know that's fascinating but how do you implement this five big ideas

[00:09:19] because you're teaching really young kids and then you are teaching older kids right

[00:09:23] some of these become very difficult concepts for younger kids

[00:09:28] especially when you think about bright and wrong ethics things like that

[00:09:33] so I just want to kind of get a sense of how you approach this for different age groups

[00:09:39] So can I tell you Sheetal to first share from my experience

[00:09:44] young children they already have a very strong sense of right and wrong

[00:09:50] so for them you don't even have to teach it

[00:09:52] you have to learn from them. I think over as we grow up

[00:09:56] I think we forget and our lines get blurred between right and wrong

[00:10:00] young children have their ethics really straight up

[00:10:02] so there is no issue but coming to the point of teaching really young children

[00:10:08] about AI through this landscape it's actually been a very rewarding journey

[00:10:13] because I myself had to learn all of this and then to be able to use language

[00:10:19] and analogies so that really young children as young as eight years

[00:10:22] can start learning about it and not only learn it

[00:10:25] but be able to apply it in different scenarios

[00:10:27] so here we were fortunate because today we have platforms

[00:10:31] which have been made for children visual platforms low code no code

[00:10:35] on which you can actually make projects you can actually train an AI model

[00:10:39] and deploy it in a coding environment

[00:10:41] so they are building prototypes of technologies that they are interacting with

[00:10:47] so to give you an example you know we all see facial recognition right

[00:10:51] even on our phone but the children are able to build that prototype

[00:10:55] and through that building of the project we teach them the theory behind it

[00:10:59] and the ethics behind it using language and analogies that they can relate to

[00:11:03] and as I grow older use more sophisticated language

[00:11:07] you go into more technicalities but you keep it visual

[00:11:11] so that nothing that they learn is ever extinct

[00:11:14] That's fascinating and I like that whole thing of children have a moral code

[00:11:17] which is much stronger than ours I think that's so true

[00:11:20] I want to understand this you spoke with that very early

[00:11:24] and the validation that you got out of the fact that your kids won an award

[00:11:29] right against other students

[00:11:31] I just want to understand share some success stories

[00:11:35] tell us what they did to have won that award

[00:11:38] whatever you feel like sharing in terms of when you have done this

[00:11:42] what comes out of it so just to go to sense

[00:11:45] So success means different things to different people

[00:11:48] being a young startup when you're growing organically

[00:11:54] you need credibility so credibility for us and success in that sense came

[00:11:58] by the recognition by the invitation by UNESCO

[00:12:02] to come and share our work on digital upskilling of women

[00:12:05] last year we were awarded by NASCOM

[00:12:08] the social change makers award which was again big validation of success

[00:12:12] with the work we are doing for AI skilling

[00:12:15] but for the children you know when I spoke about them winning that award

[00:12:20] in the World AI competition for youth it's a US based competition

[00:12:24] A very early on we had chosen the right framework the five big ideas

[00:12:30] so the children really understand deeply what AI means

[00:12:34] they understand the different technologies

[00:12:37] one of the students she was a 12 year old girl then

[00:12:43] she had made a waste aggregator where she trained an AI

[00:12:46] to be able to segregate waste whether it's biodegradable

[00:12:50] or recyclable or e-waste

[00:12:54] and this is not something that she had been taught

[00:12:58] she had been taught how to use computer vision to recognize images

[00:13:03] but because she was somebody who was passionate about environment

[00:13:06] she chose that same technology to make a waste aggregator

[00:13:10] my own daughter got four more because she saw that I was teaching these kids

[00:13:14] and I was not asking her to participate

[00:13:16] she is really into birds and nature

[00:13:19] and she was learning with us of course

[00:13:21] the last minute she said mom even I want to participate

[00:13:24] and I already have a project ready

[00:13:26] and she made one on endangered bird where she used the same technology

[00:13:29] but to train an AI to recognize endangered birds

[00:13:32] and I think that the fact that the children

[00:13:36] could actually apply the knowledge to something else

[00:13:40] and make a product a prototype of something that matters

[00:13:44] it's aligned to the UN SDGs got them those prices

[00:13:47] so for me that is success

[00:13:49] where every child of mine enjoys their learning

[00:13:52] and is able to transfer their learning to their own passion

[00:13:55] so that is generally success for us

[00:13:58] you're teaching the kids right

[00:14:00] how do the kids go back and teach parents

[00:14:04] or how do the parents get involved in something like this

[00:14:09] or do you also have programs for parents

[00:14:11] because there is always the sense of

[00:14:14] every time I do research

[00:14:17] older parents always say that keeping up

[00:14:19] with technology itself is a challenge

[00:14:22] and then keeping up with children who are way ahead of you in technology

[00:14:25] is an even larger challenge right

[00:14:28] now when you're equipping kids who are as young as eight and nine

[00:14:32] with AI and AI tools and AI frameworks

[00:14:36] how does it marry with what is happening at the home

[00:14:40] I know some of them are aware parents

[00:14:41] but what happens first is what I wanted to understand a little more

[00:14:45] it's such a great question

[00:14:47] I'm so surprised you asked me this

[00:14:49] so I realized very early on that this would be a challenge

[00:14:53] because when I would talk to parents who would call me up

[00:14:56] wanting to enroll the children

[00:14:58] first of all the mothers would say

[00:14:59] I don't understand tech

[00:15:01] can you talk to my husband and I would say

[00:15:03] look if you're eight year old you can do it so can you

[00:15:06] and at that point our classes are all online

[00:15:09] so I used to always tell my mothers

[00:15:12] when the child is having a class please sit there

[00:15:15] you'll also learn something and it's a lot of fun

[00:15:17] so A, I welcome them to sit and audit the class

[00:15:21] even if they don't want to do the coding part of it

[00:15:23] B, what I also started in our company

[00:15:26] was that after every class the teacher gives a feedback

[00:15:30] with the key vocabulary we never water down the vocabulary

[00:15:34] that we teach our children

[00:15:35] so that parents can then have a conversation with the child

[00:15:38] so this does two things

[00:15:40] one, the child gets an opportunity to share what he has learnt

[00:15:44] B, the parent gets a chance to actually

[00:15:48] learn something new without you know the child

[00:15:50] feeling that she's testing me but she's actually being supported

[00:15:54] but having said this not many parents

[00:15:57] once they trust you want to really upskill

[00:16:00] so that gap remains

[00:16:03] what interestingly happened is with the gen A.I. tools

[00:16:07] now people are realizing that they must upskill

[00:16:10] so now we have actually made a program for adults

[00:16:14] for non-tech adults to help them understand A.I.

[00:16:18] I would have ideally liked our children to teach

[00:16:20] but that's not really going down even though we have

[00:16:23] put in steps to do that

[00:16:25] okay, that's fascinating because I always find

[00:16:29] that you know it really helps when kids and parents

[00:16:32] can have conversations which are

[00:16:35] what I call what the kids really enjoy

[00:16:38] because inevitably they always seek at parents as those

[00:16:43] garden dinosaurs who never understand anything

[00:16:46] that they speak whether it's music, whether it's tech

[00:16:49] whatever it is so it's fascinating that you're kind of bridging

[00:16:52] this with the parents too

[00:16:54] when you talk you know A.I. and ethics is such a complex

[00:16:58] such a complex topic right

[00:17:03] there are so many things and that

[00:17:05] get questioned when you think about A.I. and ethics

[00:17:09] you've spoken about A.I. ethics

[00:17:11] and education A.I. and ethics at various platforms

[00:17:14] what is it that you would want to put out to the world over there

[00:17:19] like two or three things that you think the audiences must

[00:17:22] evaluate when you're thinking about A.I. ethics and education

[00:17:26] Shikil I think that A. first everyone should realize

[00:17:31] that A.I. literacy is so important for each and every one of us

[00:17:35] because you know A.I. is a very unique technology it's live

[00:17:39] you know it is learning in real time from us

[00:17:42] the predictions it makes is forming the decisions that we make

[00:17:48] it is forming the decisions that other people make on us

[00:17:51] and these are really important decisions whether it's legal, insurance, banking

[00:17:54] health etc everything and it's not a perfect technology

[00:17:57] so education is key where everybody should be A.I. literate

[00:18:01] A.I. ethics may sound scary and fancy and complex but it really isn't

[00:18:06] at coding and more we actually have an acronym for it first

[00:18:10] where we say that as a consumer you need to understand

[00:18:15] and advocate for fairness in technology

[00:18:17] what I mean by that is we all have biases

[00:18:21] if the technology is trained well representative of the different kinds of people

[00:18:26] it will be less biased and more fair

[00:18:28] inclusive meaning A.I. for first is when the technology is inclusive

[00:18:34] to all people whether you're deflect sick or whether you have a hearing

[00:18:37] or listening ability disability it's inclusive

[00:18:41] R is responsible or accountable where the A.I.

[00:18:45] you know it tells you why it has made those decisions

[00:18:47] you know it's accountable you know why you're getting a particular prediction

[00:18:50] safety is synonymous with privacy because A.I. comes with the data privacy issues

[00:18:56] though they are free there's a privacy issue so I think those are things that people should understand

[00:19:00] and T is transparency where if an A.I. is made for a particular reason

[00:19:05] it should be only for that and not any ulterior motives so to say

[00:19:09] so when we talk about A.I. ethics we want people to understand how this technology works

[00:19:15] so that they can advocate for their rights better because this technology is changing

[00:19:19] faster than governments can keep up faster than laws can be made

[00:19:23] so that's really important and we are very fortunate that we are being able to teach children

[00:19:28] who are the future of tomorrow so then they have the right A.I. ethics

[00:19:34] even though there is no law which is enforcing it

[00:19:37] I'm going to ask you a fun question to move away a little bit from what we've been speaking about

[00:19:42] I'm sure as teachers children ask questions which stump us right

[00:19:47] you share some of those fun questions that students have asked which your teachers are kind of stood back and said

[00:19:53] I didn't expect that

[00:19:55] oh my god there are so many of such questions and now I have to think of one

[00:20:04] you know more than being stumped I'm just amazed that because we talk about so much about bias with our students

[00:20:13] one time my kids were presenting to an international panel for a competition

[00:20:19] and some of the girls came back and said miss you talk about gender bias and this was a prestigious A.I. competition

[00:20:27] how come there was no woman on the panel you know judging us

[00:20:32] how are they asking us to you know tell us you know about A.I. ethics when they themselves are so biased

[00:20:39] with having an all white men judging panel

[00:20:42] and I was like valid point you know really valid

[00:20:45] and I was so surprised that they are actually looking at it practically and not theoretically right

[00:20:52] okay that's an interesting observation

[00:20:54] in fact that was going to be one of my questions saying how do you find the women

[00:20:58] because every time I speak on technology and by interview people they say there are very few women in technology

[00:21:06] and I'm just trying to figure out how do you find all of the teachers that you need who will come and teach with you

[00:21:12] how do you up skill women and how do you convert them if they're not from a tech background to get into something called A.I. and education right

[00:21:21] I'm sure there are barriers but I just want to get a sense of that

[00:21:25] so you know this is a challenge to be very honest

[00:21:28] and in my mind I truly believe that a good teacher is not one with the technical knowledge

[00:21:34] but one with the soft skills

[00:21:36] one who's patient kind and who can communicate really well and has a growth mindset

[00:21:41] because if you have to teach A.I. you have to have a growth mindset

[00:21:44] where you have to keep evolving with the changing technology

[00:21:48] and what I also have is a very interesting mantra

[00:21:51] birds of a feather flock together

[00:21:53] so if I find a good teacher or good teachers

[00:21:56] I ask them to get me their best friends their sisters etc

[00:22:00] you know because then they had the same sort of soft skills

[00:22:03] the technical part you know as I said if you have the mindset to learn

[00:22:07] we can teach you

[00:22:08] maybe it will take long with some

[00:22:10] but they all eventually learn

[00:22:12] and as far as what the technical students go

[00:22:15] because post 13 years of age they do need to have Python

[00:22:19] and data science knowledge

[00:22:20] so for that we look for women

[00:22:23] who are doing their masters in colleges and data science

[00:22:27] or I also have a few professors who are teaching in our universities

[00:22:31] so we wrote them in

[00:22:33] and then they are very collaborative

[00:22:34] they teach each other, they help each other

[00:22:36] so I don't feel alone in that sense

[00:22:39] Oh that's amazing

[00:22:40] and this is going to be my final question for you

[00:22:42] because I know that I could have a longer conversation

[00:22:44] but I'm going to keep this to the time we've agreed

[00:22:48] looking ahead

[00:22:49] what emerging trends in A.I. do you see as pivotal

[00:22:55] for you know the future of education

[00:22:57] this is again a very very great question

[00:23:01] you know as I said when we started

[00:23:03] it was more self-selection because people didn't understand A.I.

[00:23:07] but now with the GEN AI tools

[00:23:08] schools realize that children are using it

[00:23:12] so they from being worried and scared

[00:23:15] are now opening up to the fact

[00:23:17] that our teachers need to be upskilled

[00:23:19] so that they can learn this technology

[00:23:22] they can themselves become more productive

[00:23:24] they can teach the technology in a responsible manner

[00:23:28] to the students who are self-discovering it

[00:23:31] and then help the children be future ready

[00:23:34] and ethically ready

[00:23:36] so we have started you know doing this teacher training programs

[00:23:40] for schools where we are very fortunate

[00:23:43] that there are progressive schools

[00:23:44] who are willing to take this plunge

[00:23:46] because you know we know that this is just the beginning

[00:23:48] the technology is just going to become better

[00:23:50] and more powerful and you can see misinformation

[00:23:52] is another issue you know which is emerging

[00:23:55] so if we can educate our teachers to learn these tools

[00:24:00] and they can take it to the classrooms

[00:24:01] and simultaneously we can also reach out to the parents

[00:24:05] so all the three stakeholders are aligned

[00:24:08] and this is really the trend that I am seeing

[00:24:11] that now schools are opening up to the fact

[00:24:15] that education has to change

[00:24:17] they are re-looking at the definition of education

[00:24:20] they are re-looking at what work will be

[00:24:22] given that AI is here and to stay

[00:24:24] and a part of our lives

[00:24:25] so that's what we are sort of reading ourselves for

[00:24:30] and have started doing

[00:24:31] and they are getting a good response

[00:24:32] you know like teachers are happy

[00:24:33] because you also feel that when they get AI literate

[00:24:36] students they are able to empathize with the students

[00:24:39] and students say oh she gets me

[00:24:41] she is also at par, she is not a dinosaur

[00:24:44] So you are starting new curriculum of courses for others

[00:24:48] what are the other things that you are looking at doing

[00:24:51] at coding and more

[00:24:52] to make sure that coding and more is tapping into the new trends

[00:24:57] and you know staying ahead of the curve

[00:25:00] AI technology is changing really rapidly

[00:25:03] my educators and I consistently upskill

[00:25:06] and curate relevant content for our audience

[00:25:10] we were anyway ahead of the curve

[00:25:12] since we were one of the first AI educators

[00:25:15] for K-12 in 2020

[00:25:17] today too we remain relevant and ahead

[00:25:20] because we want to make a difference

[00:25:22] you know our students are using cutting edge technologies

[00:25:26] such as custom GPT, RAG for their projects

[00:25:30] our idea is to bridge the gap between academia

[00:25:34] and the workspace using the power of technology

[00:25:37] that's great my last one bit

[00:25:39] which is as more and more AI happens

[00:25:42] and more and more people integrate AI into it

[00:25:44] I just want to get a sense of

[00:25:46] do you teach, so currently what I

[00:25:49] is it more AI at a broader level

[00:25:53] and will you ever get down to saying AI

[00:25:56] let's say because I come from the world of research

[00:25:58] you would say AI in research versus AI in something else

[00:26:01] are you looking at segmenting AI further

[00:26:03] or is it always going to be a broad spectrum

[00:26:07] approach towards AI when you're teaching kids

[00:26:10] so you know I'm so glad you asked me this question

[00:26:14] when we teach AI

[00:26:16] we first start with foundational AI

[00:26:19] which is like looking at AI under the hood

[00:26:21] now we have gone into gen AI tools also

[00:26:24] and what we look at is

[00:26:27] we look at it as a lens of AI practitioners

[00:26:29] and AI specialists

[00:26:30] so you are in research

[00:26:33] so you're an AI practitioner

[00:26:34] you need to know AI for research

[00:26:36] so when we do AI in a broad way

[00:26:38] what we eventually do is funnel the people in

[00:26:41] or the children in to their speciality

[00:26:43] they understand the technology and they apply it

[00:26:46] to whatever they need to

[00:26:47] so we are already doing that

[00:26:49] in that sense and that's where their learning comes in

[00:26:53] when they can see that the same technology can be used for research

[00:26:55] can be used for conservation, can be used for law

[00:26:58] can be used for farming or for art

[00:27:00] but yes that's important to do that

[00:27:02] so that everybody can use it even though

[00:27:04] they're not a technologist

[00:27:06] that was my last question Supriya

[00:27:08] and I can't tell you how wonderful it was to have this conversation

[00:27:11] I don't even know where the time has flown

[00:27:13] in having this conversation with you

[00:27:15] thank you so much

[00:27:17] for being a part of the Dubic podcast

[00:27:20] we're thrilled, you know we're doing a lot in the edtech space

[00:27:23] so we thought we should bring more and more people like you

[00:27:26] to talk about technology in the space of education

[00:27:29] and you've just made it absolutely wonderful

[00:27:32] all the very best for the future

[00:27:34] and I hope putting in more growth from strength to strength

[00:27:37] pleasure having you with us here today

[00:27:39] thank you so much Sheetal, this was really a pleasure for me also

[00:27:42] thank you for tuning into the Dubic podcast

[00:27:45] a podcast that is dedicated to providing insights

[00:27:49] strategies and success stories

[00:27:51] of smart digital solutions for SMS

[00:27:54] we believe that behind every successful business

[00:27:57] there's a strong foundation of reliable and secure technology

[00:28:00] via digital connectivity, cloud infra, cloud apps

[00:28:04] collaboration tools or cybersecurity solutions

[00:28:06] in a rapidly evolving digital world

[00:28:10] where technology is key to progress

[00:28:11] Tata Tele business services stands at the forefront

[00:28:14] of digital transformation of SMS

[00:28:17] Tata Tele business services with their extensive

[00:28:19] experience and commitment to empowering businesses

[00:28:22] understands the unique needs of SMS

[00:28:26] whether it's scalable connectivity

[00:28:27] robust communication tools

[00:28:29] or tailored ICT solutions

[00:28:31] Tata Tele business services is here to propel your business forward

[00:28:35] Tata Tele business services is synonymous

[00:28:39] with innovation, reliability and transformative solutions

[00:28:42] so if you're ready to take your organization

[00:28:45] to new heights of success

[00:28:47] we encourage you to explore the transformative possibilities

[00:28:50] that Tata Tele business services has to offer

[00:28:53] our contact details are in the description below

[00:28:56] remember we're available major podcast platforms

[00:28:59] so if you enjoyed today's conversation

[00:29:02] subscribe to our podcast for future episodes

[00:29:05] which we promise will be packed with equally valuable insights

[00:29:08] on questions entrepreneurs face

[00:29:10] as they digitize and scale businesses

[00:29:12] with the help of technology

[00:29:14] don't forget to rate and review our podcast

[00:29:17] as well as share it with peers, colleagues

[00:29:19] and other entrepreneurs like yourself

[00:29:21] who will benefit from listening to it

[00:29:23] thank you for listening to us

[00:29:25] and until the next time

[00:29:26] keep embracing technology

[00:29:28] and may your business thrive in the digital era

[00:29:40] thank you for tuning in to the Doopik podcast

[00:29:43] a podcast that is dedicated to providing

[00:29:45] insights, strategies and success stories

[00:29:47] of smart digital solutions for SMS

[00:29:51] we believe that behind every successful business

[00:29:54] there's a strong foundation of reliable

[00:29:56] and secure technology

[00:29:58] via digital connectivity, cloud infra, cloud apps

[00:30:00] collaboration tools or cybersecurity solutions

[00:30:03] in a rapidly evolving digital world

[00:30:06] where technology is key to progress

[00:30:08] Tata Tele business services

[00:30:10] stands at the forefront of digital transformation

[00:30:12] of SMS

[00:30:13] Tata Tele business services

[00:30:15] with their extensive experience and commitment

[00:30:17] to empowering businesses

[00:30:19] understands the unique needs of SMS

[00:30:22] whether it's scalable connectivity

[00:30:24] robust communication tools

[00:30:26] or tailored ICT solutions

[00:30:28] Tata Tele business services

[00:30:30] is here to propel your business forward

[00:30:33] Tata Tele business services is synonymous

[00:30:35] with innovation, reliability

[00:30:37] and transformative solutions

[00:30:39] so if you're ready to take your organization

[00:30:42] to new heights of success

[00:30:44] we encourage you to explore the transformative possibilities

[00:30:47] that Tata Tele business services has to offer

[00:30:50] our contact details are in the description below

[00:30:53] remember we're available major podcast platforms

[00:30:56] so if you enjoyed today's conversation

[00:30:59] subscribe to our podcast for future episodes

[00:31:02] which we promise will be packed with equally valuable insights

[00:31:05] on questions entrepreneurs face

[00:31:07] as they digitize and scale businesses

[00:31:09] with the help of technology

[00:31:11] don't forget to rate and review our podcast

[00:31:14] as well as share it with peers, colleagues

[00:31:16] and other entrepreneurs like yourself

[00:31:18] who will benefit from listening to it

[00:31:20] thank you for listening to us

[00:31:22] and until the next time

[00:31:23] keep embracing technology

[00:31:25] and may your business thrive in the digital era