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Swami Sivasubramanian’s first experience using a computer was in high school in India, where there was just one computer for the entire school. While each student could use the computer for just a few minutes a day, those few minutes sparked his lifelong passion for technology, one that led to his current role as VP of Data and AI at Amazon Web Services. It also drove home to him that any exposure to new technologies can be transformative. He talks to Meet the Leader about why it's critical to prioritize access to AI training for a range of ages and backgrounds, especially those in non-technical fields like HR or Marketing where new possibilities will be on the horizon. He also shares a slate of free AWS programming for cutting edge AI tools as well as guidance for leaders setting training priorities for the year ahead. He’ll also explain how he's changed as a leader and technologist since starting at Amazon as a mere intern and the key questions that can help teams get future ready, including one that helped teams at AWS maximize technologies like machine learning.
By World Economic Forum / Linda Lacina3.5
2323 ratings
Swami Sivasubramanian’s first experience using a computer was in high school in India, where there was just one computer for the entire school. While each student could use the computer for just a few minutes a day, those few minutes sparked his lifelong passion for technology, one that led to his current role as VP of Data and AI at Amazon Web Services. It also drove home to him that any exposure to new technologies can be transformative. He talks to Meet the Leader about why it's critical to prioritize access to AI training for a range of ages and backgrounds, especially those in non-technical fields like HR or Marketing where new possibilities will be on the horizon. He also shares a slate of free AWS programming for cutting edge AI tools as well as guidance for leaders setting training priorities for the year ahead. He’ll also explain how he's changed as a leader and technologist since starting at Amazon as a mere intern and the key questions that can help teams get future ready, including one that helped teams at AWS maximize technologies like machine learning.

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