Past Event

Strategies for Managing Complex AI Systems: From Development to Deployment

11:30AM - 12:30PM EDT

November 4, 2021
Strategies for Managing Complex AI Systems: From Development to Deployment
Webinar

Location

Webinar

Hosted by:

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Overview

AI is transforming many industries. But addressing the full cycle, from development through deployment, requires key system engineering building blocks. Without these frameworks, efforts can be costly and unsuccessful. Learn how an AI systems engineering approach can avoid implementation pitfalls in this live webinar—a preview of the upcoming live virtual course  AI Strategies and Roadmap: Systems Engineering Approach to AI Development and Deployment.

In this interactive one-hour discussion, led by David Martinez, Laboratory Fellow in the Cyber Security and Information Sciences Division at MIT Lincoln Laboratory, you will:

  • Deepen your understanding of end-to-end AI architecture at the systems engineering level
    Discover how a systems engineering approach can increase confidence and reduce errors in your AI implementation
  • Understand how a systems engineering mindset can provide a holistic approach to your AI investment
    Acquire an overview of the latest AI-based challenges and opportunities in systems engineering 

Following the session, you’ll have the opportunity to ask questions in a live Q&A session.

For more information, please visit the MIT Professional Education webinar page here.

  • Overview

    AI is transforming many industries. But addressing the full cycle, from development through deployment, requires key system engineering building blocks. Without these frameworks, efforts can be costly and unsuccessful. Learn how an AI systems engineering approach can avoid implementation pitfalls in this live webinar—a preview of the upcoming live virtual course  AI Strategies and Roadmap: Systems Engineering Approach to AI Development and Deployment.

    In this interactive one-hour discussion, led by David Martinez, Laboratory Fellow in the Cyber Security and Information Sciences Division at MIT Lincoln Laboratory, you will:

    • Deepen your understanding of end-to-end AI architecture at the systems engineering level
      Discover how a systems engineering approach can increase confidence and reduce errors in your AI implementation
    • Understand how a systems engineering mindset can provide a holistic approach to your AI investment
      Acquire an overview of the latest AI-based challenges and opportunities in systems engineering 

    Following the session, you’ll have the opportunity to ask questions in a live Q&A session.

    For more information, please visit the MIT Professional Education webinar page here.