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Meet Tanmay Bakshi
Tanmay Bakshi is a 16-year-old Canadian author, media personality, AI & ML Systems Architect, TED & Keynote speaker, Google Developer Expert for Machine Learning, and IBM Champion for Cloud. He has addressed over 200,000 executives and developers worldwide at conferences, universities & schools, financial institutions, and international companies. The United Nations, NASSCOM, Linux Foundation, Apple, SAP, IBM, Walmart, Deloitte are a few of the many organizations he has keynoted for.
Being a media personality, he's been featured in the Toronto Star, on the front page of The Vancouver Sun, pictured on stage doing what he loves to do - sharing his knowledge with the world, in Forbes and CNBC, as well as in Bloomberg Businessweek as a Young Entrepreneur, in The New York Times, and The Wall Street Journal, just to name a few.
His YouTube channel called "Tanmay Teaches" is where he shares his research and knowledge with audiences of all ages. He has had the honor of being the recipient of the Twilio Doer Award, Knowledge Ambassador Award Global Goodwill Ambassador at LinkedIn and Life Mentor Award.
This year in 2019, Tanmay authored three books on technology taking a big step towards his goal of reaching out to 100,000 aspiring coders to help them innovate:
Hello Swift, Cognitive Computing with IBM Watson and Tanmay Teaches Julia
Being a media personality, he's been featured in the Toronto Star, on the front page of The Vancouver Sun, pictured on stage doing what he loves to do - sharing his knowledge with the world, in Forbes and CNBC, as well as in Bloomberg Businessweek as a Young Entrepreneur, in The New York Times, and The Wall Street Journal, just to name a few.
His YouTube channel called "Tanmay Teaches" is where he shares his research and knowledge with audiences of all ages. He has had the honor of being the recipient of the Twilio Doer Award, Knowledge Ambassador Award Global Goodwill Ambassador at LinkedIn and Life Mentor Award.
This year in 2019, Tanmay authored three books on technology taking a big step towards his goal of reaching out to 100,000 aspiring coders to help them innovate:
Hello Swift, Cognitive Computing with IBM Watson and Tanmay Teaches Julia
Tanmay Bakshi Speech Topics.
Tanmay Bakshi, 13, is a tech author and a strong supporter of "Everyone Can Code" and STEM Education. Being the youngest IBM Watson programmer, and having spoken at a number of international conferences and events, he loves to talk about and work with Cognitive Computing, AI, and Machine Learning. He advocates, contributes to and enjoys talking about Open Source development. His passion for sharing his knowledge comes through his motivational and inspirational talks.
What really is "Artificial Intelligence" or "Machine Learning"?
This technology is the most misunderstood in the world - to the point that we don't even have a single set of terminology that we can all agree to use. Therefore, I'd like to answer the question of what this technology is, why it's important, what it's capable of, and particularly: what is it NOT capable of?
Why does AI not pose an existential threat to humanity?
Artificial Intelligence technology is misleading. Everyone has a different view on what can be done with it, or the kind of impact it'll have on humanity. There's traditionally a very bipolar response to this technology - you either absolutely love it, or you hate it. I believe you can only reach the true, "sober" view of AI/ML when you understand the backend of this technology and the events that have led up to making this tech so misunderstood, which is precisely what I want to share.
Why is it important to bring the youth into technology?
How can future generations be ready for the technology of tomorrow?
We, humans, are special because we can innovate at an exponential scale. However, there is one issue: if we don't get the next generation of humans ready for the future in which they have to maintain, build, and innovate upon this complex technology, our rate of innovation plateau. This is precisely the opposite of what humanity needs, we require faster and faster development. The only way this momentum can be achieved and sustained is if the youth are educated the right way, the personalized way, the unbiased way.
How can developers make full use of machine learning technology in their applications and solutions?
New, shiny technology is always tempting to work on. But as a developer, how can you better understand where exactly this technology should be applied? Once you've understood where it should be applied, how can you go about doing that with the least ceremony possible, keeping only the essence? What are some of the common challenges that you'll face as you apply the technology, and how can you work around them? For example, how can you mitigate bias in machine learning systems? How can you respect user privacy but still personalize their experience with an application?
Technical aspect of a plethora of technologies.
Covering microprocessors, compilers, machine learning, quantum computing, blockchain, IoT, Cloud, etc.
Developers solve the world's problems with technology. Without developers, the average human's life today would be totally different - and most certainly, a lot more inconvenient, unsafe, and generally filled with less potential. However, developers need to deal with more and more complex technology and larger codebases and projects. This makes development difficult - so how can developers create tooling to make the lives of other developers easier? And how can developers use these sets of tooling to enable a more productive workflow?
The impact of a plethora of technologies.
Covering machine learning, quantum, blockchain, IoT, etc. on humanity.
What kind of societal impact will the technologies brought upon by the fourth industrial revolution have? What will AI, Quantum Computing, Blockchain, IoT, etc., do to our everyday lives? Will it be good or bad? How can we ensure that the development of this technology doesn't fall in the wrong hands?
STEM / STEAM
Contrary to what many people think, the true goal of STEAM education is not to put more emphasis on areas like Science, Technology, Engineering, Arts, or Mathematics at the expense of other subjects. Rather, the idea is quite different: it's that modern education is simply ineffective thanks to the method of teaching employed. Currently, subjects are mostly taught in a "silo-ed" manner. If you're learning math, or science, or technology, you're learning just one subject. However, that's not the way we learn - we learn best when we can relate to what we're being taught. The best way to do this is to dismantle the subject silos and intertwine the education of these individual subjects. By doing this, students can derive the maximum value from what they're learning and gain real experience doing it, instead of just memorizing content for a single topic.
This technology is the most misunderstood in the world - to the point that we don't even have a single set of terminology that we can all agree to use. Therefore, I'd like to answer the question of what this technology is, why it's important, what it's capable of, and particularly: what is it NOT capable of?
Why does AI not pose an existential threat to humanity?
Artificial Intelligence technology is misleading. Everyone has a different view on what can be done with it, or the kind of impact it'll have on humanity. There's traditionally a very bipolar response to this technology - you either absolutely love it, or you hate it. I believe you can only reach the true, "sober" view of AI/ML when you understand the backend of this technology and the events that have led up to making this tech so misunderstood, which is precisely what I want to share.
Why is it important to bring the youth into technology?
How can future generations be ready for the technology of tomorrow?
We, humans, are special because we can innovate at an exponential scale. However, there is one issue: if we don't get the next generation of humans ready for the future in which they have to maintain, build, and innovate upon this complex technology, our rate of innovation plateau. This is precisely the opposite of what humanity needs, we require faster and faster development. The only way this momentum can be achieved and sustained is if the youth are educated the right way, the personalized way, the unbiased way.
How can developers make full use of machine learning technology in their applications and solutions?
New, shiny technology is always tempting to work on. But as a developer, how can you better understand where exactly this technology should be applied? Once you've understood where it should be applied, how can you go about doing that with the least ceremony possible, keeping only the essence? What are some of the common challenges that you'll face as you apply the technology, and how can you work around them? For example, how can you mitigate bias in machine learning systems? How can you respect user privacy but still personalize their experience with an application?
Technical aspect of a plethora of technologies.
Covering microprocessors, compilers, machine learning, quantum computing, blockchain, IoT, Cloud, etc.
Developers solve the world's problems with technology. Without developers, the average human's life today would be totally different - and most certainly, a lot more inconvenient, unsafe, and generally filled with less potential. However, developers need to deal with more and more complex technology and larger codebases and projects. This makes development difficult - so how can developers create tooling to make the lives of other developers easier? And how can developers use these sets of tooling to enable a more productive workflow?
The impact of a plethora of technologies.
Covering machine learning, quantum, blockchain, IoT, etc. on humanity.
What kind of societal impact will the technologies brought upon by the fourth industrial revolution have? What will AI, Quantum Computing, Blockchain, IoT, etc., do to our everyday lives? Will it be good or bad? How can we ensure that the development of this technology doesn't fall in the wrong hands?
STEM / STEAM
Contrary to what many people think, the true goal of STEAM education is not to put more emphasis on areas like Science, Technology, Engineering, Arts, or Mathematics at the expense of other subjects. Rather, the idea is quite different: it's that modern education is simply ineffective thanks to the method of teaching employed. Currently, subjects are mostly taught in a "silo-ed" manner. If you're learning math, or science, or technology, you're learning just one subject. However, that's not the way we learn - we learn best when we can relate to what we're being taught. The best way to do this is to dismantle the subject silos and intertwine the education of these individual subjects. By doing this, students can derive the maximum value from what they're learning and gain real experience doing it, instead of just memorizing content for a single topic.
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