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AI Next Generation Architecture

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Manage episode 358232196 series 1264075
Content provided by Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

As Artificial Intelligence permeates mission-critical capabilities, it is paramount to design modular solutions to ensure rapid evolution and interoperability. During this webcast, we’ll discuss some of the primary quality attributes guiding such design, and how a Next Generation Architecture can facilitate an integrated future state.

What attendees will learn:

  • current challenges facing AI engineering
  • approaches to promoting interoperability across AI solutions
  • considerations for facilitating modularity and reuse in design
  continue reading

151 episodes

Artwork
iconShare
 
Manage episode 358232196 series 1264075
Content provided by Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

As Artificial Intelligence permeates mission-critical capabilities, it is paramount to design modular solutions to ensure rapid evolution and interoperability. During this webcast, we’ll discuss some of the primary quality attributes guiding such design, and how a Next Generation Architecture can facilitate an integrated future state.

What attendees will learn:

  • current challenges facing AI engineering
  • approaches to promoting interoperability across AI solutions
  • considerations for facilitating modularity and reuse in design
  continue reading

151 episodes

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