1 option
Software architecture superstream. Optimizing AI architecture capabilities.
- Format:
- Video
- Language:
- English
- Subjects (All):
- Software architecture.
- Physical Description:
- 1 online resource (1 video file (3 hr., 30 min.)) : sound, color.
- Edition:
- [First edition].
- Place of Publication:
- [Sebastopol, California] : O'Reilly Media, Inc., 2026.
- Summary:
- As software systems grow more complex and demands for agility and scalability increase, architects must rethink how fundamental architecture capabilities are defined, measured, and evolved. With the rise of AI and automation, performance, scalability, reliability, and maintainability are no longer just outcomes, they're dynamic parameters that can be influenced and optimized throughout the lifecycle. Join us to explore how AI is changing the way architecture capabilities are understood and applied. From architecture as code to AI-powered design and collaboration, this session will examine the tools, techniques, and mindsets that help architects create adaptive, intelligent systems. Gain insights into how you can harness AI to enable smarter decision-making, accelerate iteration, and ensure your systems stay resilient, secure, and aligned with evolving business needs. What you'll learn and how you can apply it How AI is changing the way architecture capabilities are understood and applied, and what that means for you as an architect Why a human-first and AI-next approach to exploring architectural characteristics can be more fruitful, and where you might implement this approach What issues are faced by modern AI deployments and how data-driven systems can be protected by both conventional and modern thinking Recommended follow-up Read Architecture as Code (early release book) Please note that slides or supplemental materials are not available for download from this recording. Resources are only provided at the time of the live event.
- Notes:
- OCLC-licensed vendor bibliographic record.
- OCLC:
- 1601194331
- Publisher Number:
- 0642572338701
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.