
Tanmay Bakshi
Tanmay Bakshi is an internationally recognized AI prodigy and technological innovator, known for delivering insightful talks on AI, innovation, and the future of technology. He has inspired audiences in over 30 countries, speaking for organizations like the United Nations, Apple, Walmart, Microsoft, Google, KPMG, the Linux Foundation, Heineken, Shell, HSBC, and Amazon. Over the past decade, Tanmay has reached more than 400,000 business leaders, developers, and students through his keynotes and lectures.
Tanmay’s diverse accomplishments span roles such as AI & Software Architect for IBM watsonx, Google Developer Expert in Machine Learning, author, TED & keynote speaker, and visiting professor at iUniversity Tokyo. He also serves as an instructor at the University of Winnipeg and is a well-known media personality and YouTuber. Passionate about using technology for the greater good, Tanmay strives to empower over 100,000 people to leverage technological advancements for positive global change.
Tanmay’s influence extends globally through his “Tanmay Teaches” book series with McGraw-Hill Education. His books, “Tanmay Teaches Go” and “Tanmay Teaches Julia,” have been translated into Korean and Japanese, further broadening his educational reach and impact.
Speaking topics
- AI & Machine Learning
AI & Machine Learning, societal impact, ethical considerations, building systems effectively, its capabilities and limitations, and specific examples of its use in certain industries.
What will society and the nature of work be in a future with new kinds of automations & tools never before thought possible? What are the many special considerations business leaders need to take when structuring the teams that build with this technology to ensure effective solutions?
How can we move from the constant pattern of hype cycles around every new AI technology to a world of consistent, stable innovation? Where is this technology already being used to—and poised to be able to—solve real problems, even when we don’t notice it?
- Generative AI
Generative AI—what’s different about this specific buzzword, and why has the hype been different? What is the “accident” that started the domino effect of research that led to where we are today, and what can we learn from it about the nature of intelligence, the use cases of Gen AI, and which businesses will succeed or fail with applying it?
- AI and Youth
Bringing the Youth Into Technology—how can we, and why should we, empower the youth to make the most out of the technology they’re surrounded by? What does it look like to live in a society that sets up its children to thrive in a future with new technologies like AI?