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Lila Tretikov, CVP and Deputy CTO at Microsoft on crossing the AI chasm and solving the world's problems
Crossing the AI Chasm and Solving the World’s Problems with Lila Tretikov
Lila Tretikov is a Board Director, CEO, Entrepreneur, and CVP at Microsoft. She brings scientists, engineers, designers, and the best creators together to solve the world’s most challenging problems, and empower humanity through technology.
Moving to America from Russia
3:00
“I was always between worlds -- art vs. science or East vs. West. I moved from Russia to New York when I was 15. It's shaped how I think about the world and allowed me to think outside the box.”
Transfer learning: thinking about problems and unique, unusual ways.
Lila switched the focus of her work multiple times. She started her first company while at Berkeley, observing scientists, mapping the human genome, I worked for finance, banking, started another company, then pure software and telecommunications. Nonprofits, Wikipedia, power, energy, green energy companies, now Microsoft, and health.
“I love looking at technologies through the lens of impact on humanity.”
Can you tell us more about your role at Microsoft and what you do there?
5:00
Lila was the deputy for CTO Kevin Scott. She’s the person to jump into a complex project and help teams accelerate. It's hard to take an innovation and make it part of the company's core business. She helps teams cross that chasm. I look at innovation and figure out how to scale.
Artificial intelligence
9:40
The brain helps us design better algorithms. Computational biology will be an enormous and exciting frontier.
The human brain has 100 trillion connections. The leading supercomputer has 172 billion hyper parameters, growing astronomically fast. At some point, supercomputers will match the human capacity.”
Humans are more computationally efficient, extremely low powered, 20 watts to operate. Supercomputers with 30,000 GPUs take 10 times that amount.
10:30
The human brain is also multimodal. We have many senses, including hidden senses. We imagine the world that our brain processes. The human brain trains incrementally and builds upon prior knowledge all the time. We've built up knowledge over and over again. AI is good at specialized tasks. It can translate across human languages.
We can learn from biological constructs and apply them to computer science, then accelerate biological discovery, and create a flywheel in computational biology and AI.
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By Shobhana Viswanathan
5
1111 ratings
Crossing the AI Chasm and Solving the World’s Problems with Lila Tretikov
Lila Tretikov is a Board Director, CEO, Entrepreneur, and CVP at Microsoft. She brings scientists, engineers, designers, and the best creators together to solve the world’s most challenging problems, and empower humanity through technology.
Moving to America from Russia
3:00
“I was always between worlds -- art vs. science or East vs. West. I moved from Russia to New York when I was 15. It's shaped how I think about the world and allowed me to think outside the box.”
Transfer learning: thinking about problems and unique, unusual ways.
Lila switched the focus of her work multiple times. She started her first company while at Berkeley, observing scientists, mapping the human genome, I worked for finance, banking, started another company, then pure software and telecommunications. Nonprofits, Wikipedia, power, energy, green energy companies, now Microsoft, and health.
“I love looking at technologies through the lens of impact on humanity.”
Can you tell us more about your role at Microsoft and what you do there?
5:00
Lila was the deputy for CTO Kevin Scott. She’s the person to jump into a complex project and help teams accelerate. It's hard to take an innovation and make it part of the company's core business. She helps teams cross that chasm. I look at innovation and figure out how to scale.
Artificial intelligence
9:40
The brain helps us design better algorithms. Computational biology will be an enormous and exciting frontier.
The human brain has 100 trillion connections. The leading supercomputer has 172 billion hyper parameters, growing astronomically fast. At some point, supercomputers will match the human capacity.”
Humans are more computationally efficient, extremely low powered, 20 watts to operate. Supercomputers with 30,000 GPUs take 10 times that amount.
10:30
The human brain is also multimodal. We have many senses, including hidden senses. We imagine the world that our brain processes. The human brain trains incrementally and builds upon prior knowledge all the time. We've built up knowledge over and over again. AI is good at specialized tasks. It can translate across human languages.
We can learn from biological constructs and apply them to computer science, then accelerate biological discovery, and create a flywheel in computational biology and AI.