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Scale Zeitgeist: AI Readiness Report featuring Scale's, Elliot Branson, Director of Machine Learning and Engineering, and Sasha Harrison, Machine Learning Engineer

Posted Aug 04
# data annotation
# machine learning operations
# AI
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SPEAKERS
Sasha Harrison
Sasha Harrison
Sasha Harrison
Software Engineer @ Scale AI

Sasha Harrison is a machine learning engineer on the Content Understanding product team, where she works on building deep neural networks to streamline operations powering data annotation pipelines. Previously, she worked as a software engineer on the Nucleus team building a comprehensive dataset management platform to automate the data work. She holds a Master's Degree in Computer Science at Stanford University with a specialization in AI and research interests in algorithmic fairness (particularly in computer vision and speech recognition).

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Sasha Harrison is a machine learning engineer on the Content Understanding product team, where she works on building deep neural networks to streamline operations powering data annotation pipelines. Previously, she worked as a software engineer on the Nucleus team building a comprehensive dataset management platform to automate the data work. She holds a Master's Degree in Computer Science at Stanford University with a specialization in AI and research interests in algorithmic fairness (particularly in computer vision and speech recognition).

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Elliot Branson
Elliot Branson
Elliot Branson
Director of Machine Learning and Engineering @ Scale AI

Elliot Branson Is the Director of Machine Learning and Engineering at Scale and leads the Machine Learning, Platform, Federal, 3D, and Mapping products. In his prior work, he helped create the Cruise Automation self-driving car and served as the first Head of Perception and AI. His interest in robotics and AI started with national and international robotics competitions in high school and continued in college and grad school where he published work on field robotics, localization, computer vision, and AI systems. His previous work includes stints on the Google Project Tango AR platform and Air Force MURI research programs.

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Elliot Branson Is the Director of Machine Learning and Engineering at Scale and leads the Machine Learning, Platform, Federal, 3D, and Mapping products. In his prior work, he helped create the Cruise Automation self-driving car and served as the first Head of Perception and AI. His interest in robotics and AI started with national and international robotics competitions in high school and continued in college and grad school where he published work on field robotics, localization, computer vision, and AI systems. His previous work includes stints on the Google Project Tango AR platform and Air Force MURI research programs.

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SUMMARY

About the Tech Talk The Scale Zeitgeist: AI Readiness Report is a survey of more than 1,300+ ML practitioners on the challenges and best practices across the ML lifecycle. The Zeitgeist Report explores every stage of the ML lifecycle from data and annotation to model development, deployment, and monitoring, in order to understand where AI innovation is being bottlenecked, and what approaches are helping companies find success. The goal of the report is to empower organization and ML practitioners to clear current hurdles, learn and implement best practices, and unlock the full potential of AI for every business. Elliot Branson, a Director of AI and Engineering at Scale AI, and Sasha Harrison, software engineer on the Nucleus team, will provide an overview of the challenges and best practices we uncovered in our survey and share key insights from his personal experience. Download Scale Zeitgeist: AI Readiness Report

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