DevSecOps for AI Engineering
• Podcast
Publisher
Software Engineering Institute
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Abstract
AI engineering is an emergent discipline focused on developing tools, systems, and processes to enable the application of artificial intelligence in real-world contexts. DevSecOps is a set of principles and practices that provide faster delivery of secure software capabilities. It improves the collaboration and communication between software development teams, IT operations, and security staff within an organization, as well as with acquirers, suppliers, and other stakeholders in the lifecycle of a software system. In this SEI Podcast, Hasan Yasar, technical director, Continuous Deployment of Capability at the SEI, and Jay Palat, interim director of AI for Mission in the SEI’s AI Division, discuss how to engineer AI systems with DevSecOps and explore the relationship between MLOps and DevSecOps.
About the Speaker
Hasan Yasar
Hasan Yasar is the Technical Director of the Continuous Deployment of Capability group in the SSD Division of the Software Engineering Institute, CMU. Hasan leads an engineering group to enable, accelerate, and assure transformation at the speed of relevance by leveraging DevSecOps, Agile, Lean AI/ML, and other emerging technologies to …
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Jay Palat
Jay Palat is an SEI alumni employee.
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 …
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