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Owning your Story in Machine Learning

Posted Jan 27, 2023 | Views 310
# AI
# Change Management
# Technology
# ELC Annual 2022
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SPEAKER
Vijay Karunamurthy
Vijay Karunamurthy
Vijay Karunamurthy
Head of Engineering @ Scale AI

Vijay Karunamurthy is Scale’s Head of Engineering. He was the Director of Engineering at Apple for 5 years. He was the Co-Founder and CEO of Nom Labs, a community for food lovers to create, share and watch their favorite stories in real-time, and Co-Founder of AVOS Systems. Additionally, he was an Engineering Manager at Google and Youtube.

Vijay is an expert in data-centric AI and building Machine Learning teams. He believes that the next decade of AI achievement is going to be built by teams that take on outsized ambitions, and understand that it is not always a straight line to get there.

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Vijay Karunamurthy is Scale’s Head of Engineering. He was the Director of Engineering at Apple for 5 years. He was the Co-Founder and CEO of Nom Labs, a community for food lovers to create, share and watch their favorite stories in real-time, and Co-Founder of AVOS Systems. Additionally, he was an Engineering Manager at Google and Youtube.

Vijay is an expert in data-centric AI and building Machine Learning teams. He believes that the next decade of AI achievement is going to be built by teams that take on outsized ambitions, and understand that it is not always a straight line to get there.

+ Read More
SUMMARY

Media and e-commerce companies intuitively understand the necessity of storytelling, but the practice of narrative crafting is still developing for Machine Learning teams. Storytelling is a superpower, and one that leading technologists must acquire to effectively lead teams. Building a high-functioning ML team means uniting perspectives–on data value, on MLOps, and on how your problem domain evolves. Using examples from Scale AI, including work with media and e-commerce, Vijay will articulate how to structure your ML team's story–in a way which is both inclusive, and committed to solving the world’s most pressing challenges.

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