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AI Workforce Development

May 2021 Podcast
Rachel Dzombak, Jay Palat

Rachel Dzombak and Jay Palat discuss growth in the field of artificial intelligence (AI) and how organizations can hire and train staff to take advantage of the opportunities afforded by AI and machine learning.

“AI is about learning by example. And so you want to have a diverse set of people to help you look at different examples and to bring different lenses to the problems so that they can pick better sets of examples to train the AI on. The robustness of the system comes from lots of different perspectives and data. Having people who come from different backgrounds who can talk to different aspects of the problem can help you choose better datasets.”

Publisher:

Software Engineering Institute

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Abstract

Rachel Dzombak and Jay Palat, both researchers with the SEI's Emerging Technology Center, discuss growth in the field of artificial intelligence (AI) and how organizations can hire and train staff to take advantage of the opportunities afforded by AI and machine learning—and the critical need for an AI engineering discipline to grow the AI workforce.

About the Speaker

Rachel Dzombak

Rachel Dzombak

Rachel Dzombak is a digital transformation lead in the SEI Emerging Technology Center, leading SEI AI-engineering efforts. Dzombak’s background is in engineering systems and human-centered design. ...

Rachel Dzombak is a digital transformation lead in the SEI Emerging Technology Center, leading SEI AI-engineering efforts. Dzombak’s background is in engineering systems and human-centered design. Before joining the SEI, Dzombak was an innovation fellow and on the faculty at the University of California, Berkeley, and helped to define and advance the field of development engineering. 

 

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Jay Palat

Jay Palat

Jay Palat is a software engineer at the SEI Emerging Technology Center and leads engineering efforts for customers and research projects. Before coming to SEI, Palat ran his own consulting company, ...

Jay Palat is a software engineer at the SEI Emerging Technology Center and leads engineering efforts for customers and research projects. Before coming to SEI, Palat ran his own consulting company, accelerating engineering teams with a mix of management, best practices, and product engineering. Palat was the Director of Engineering and Senior Director of Data Engineering at Rhiza (now Nielsen) and has successfully led teams to deliver products and services in retail, healthcare, finance, and analytics at companies ranging from IBM to Series A startups.

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