4.4 • 739 Ratings
🗓️ 26 January 2022
⏱️ 59 minutes
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Alexandr Wang is the founder and CEO of Scale AI. He founded Scale while at MIT at the age of 19, after recognizing that he could accelerate companies’ abilities to deploy AI by combining a machine learning-powered data labeling system with human insight to ensure that models are trained on high-quality, trusted datasets. In this conversation with Stanford adjunct lecturer Emily Ma, Wang discusses the essential role of high-quality data in building powerful, useful, and unbiased AI and machine learning systems.
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0:00.0 | Who you are defines how you build. |
0:05.0 | This is the Entrepreneurial Thought Leaders series. |
0:09.0 | Brought to you by Stanford E-Corner. |
0:13.0 | Hello everyone, my name is Emily Maugh, and I'd love to welcome you to the Entrepreneurial Thought Leaders series today, |
0:20.0 | presented by the Stanford Technology Ventures Program, which is the Entrepreneurship Center in Stanford School of Engineering, and then BASIS, the Business Association of Stanford Entrepreneurial Students. |
0:30.6 | I am so excited to have Alex Wang at ETL today. It's also his birthday secretly, and so he chose to spend his birthday with you, |
0:39.4 | which is the coolest thing ever. Alex is the founder and CEO of Scale AI. He founded Scale |
0:45.6 | AI at the age of 19 while he was studying at MIT. His central insight was that machine learning |
0:51.7 | powered data labeling could really help human beings make better use of AI over time. |
0:57.0 | Under Alex's leadership scale has grown to a $7 billion valuation and serves hundreds of customers across so many industries from finance to e-commerce to U.S. government agencies. |
1:10.0 | Welcome, Alex. |
1:11.2 | Let's start off with what Scale AI does. |
1:14.1 | I mean, you've built this incredible company in three years. |
1:17.1 | Tell us more about the breadth of work that you do. |
1:20.4 | First of all, thank you so much for having me, Emily. |
1:22.6 | Really excited to chat today. |
1:24.2 | And I really enjoy chatting with you. |
1:26.8 | So I'm excited. So yeah, scale. So our |
1:30.2 | mission is to accelerate the development of AI applications. You know, we believe that AI and |
1:35.7 | machine learning is, you know, if not the most important technology of today, one of the most |
1:40.9 | important technologies that's going to enable huge amount of goodness for for the world and just enable the world to operate significantly more efficiently and effectively |
1:48.7 | and enable new customer experiences. And our vision in accomplishing that is building the most |
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