Jay Palat
SEI Emerging Technology Center
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.
Publications by Jay Palat
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The Messy Middle of Large Language Models
April 04, 2023 • Podcast
Jay PalatRachel Dzombak
Jay Palat and Rachel Dzombak discuss the current landscape of large language models (LLMs) and how to leverage tools built on top of LLMs, such as ChatGPT and Copilot.
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DevSecOps for AI Engineering
June 23, 2022 • Podcast
Hasan YasarJay Palat
Hasan Yasar and Jay Palat discuss how to engineer AI systems with DevSecOps and explore the relationship between MLOps and DevSecOps.
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Measuring Beyond Accuracy
March 21, 2022 • Conference Paper
Violet TurriRachel DzombakEric Heim
This paper was presented at the 2022 AAAI Spring Symposium on AI Engineering.
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Fostering Diversity in Software Engineering
July 15, 2021 • Podcast
Grace LewisIpek OzkayaJay Palat
Grace Lewis hosts a panel discussion with Ipek Ozkaya, Nathan West, and Jay Palat about diversity in software engineering.
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Human-Centered AI
June 25, 2021 • White Paper
Hollen BarmerRachel DzombakMatt Gaston
This white paper discusses Human-Centered AI: systems that are designed to work with, and for, people.
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Robust and Secure AI
June 25, 2021 • White Paper
Hollen BarmerRachel DzombakMatt Gaston
This white paper discusses Robust and Secure AI systems: AI systems that reliably operate at expected levels of performance, even when faced with uncertainty and in the presence of danger or threat.
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Scalable AI
June 25, 2021 • White Paper
Hollen BarmerRachel DzombakMatt Gaston
This white paper discusses Scalable AI: the ability of AI algorithms, data, models, and infrastructure to operate at the size, speed, and complexity required for the mission.
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AI Workforce Development
May 20, 2021 • Podcast
Rachel DzombakJay 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.
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