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Timestamps:
Intro
Why Scaling GenAI Is So Hard
The Four Team Topologies That Make AI Work
Platform Engineering: Fighting Cognitive Load
No AI Without APIs
The API Maturity Model
How should software engineering evolve for the age of AI?
Learn more with Gartner for Software Engineering Leaders: https://www.gartner.com/en/software-engineering?
See why Gartner is the world authority on AI: https://www.gartner.com/en/ai?
As organizations rush to weave GenAI and agentic AI into every product and workflow, engineering teams face a new reality: you can’t scale AI without redesigning how software gets built.
In this episode, Gartner experts Manjunath Bhat, Akis Sklavounakis and Shameen Pillai break down what that redesign actually looks like. They’ll explore the team structures that help scale GenAI to repeatable delivery, the platform patterns that reduce cognitive load and drive value, and the API strategies that AI implementation can’t function without.
You’ll learn:
- Why GenAI efforts fail without the right team structures
- How platform engineering reduces complexity and accelerates delivery
- Why APIs are the backbone of GenAI and agentic AI
- The five‑dimension API maturity model and where to focus first
- The tools and next steps to scale AI safely and effectively
