User interfaces (UI) are everywhere. From simple command‑line terminals to mobile layouts, user interfaces (UI) exist to turn abstract goals: “send this message”, “book that flight”, and “pay this friend” into visible controls that anyone can understand immediately.
With the recent advance of deep‑learning systems and generative AI, especially large‑language models like ChatGPT, Gemini, or Claude, promising to disrupt various areas, the ripple effects are also beginning to reach the world of user interfaces. Products like v0 (Vercel), Lovable, or Galileo AI are transforming the UI field, especially in fast prototyping and iteration cases.
Could we use AI to build user interfaces for tens of thousands of customers? Could we create production-ready user interfaces in less than a minute? What is the future of UI and design? How does SAP approach the problem of UI generation?
We will find answers to these complex but essential questions.
User interfaces (UI) are everywhere. From simple command‑line terminals to mobile layouts, user interfaces (UI) exist to turn abstract goals: “send this message”, “book that flight”, and “pay this friend” into visible controls that anyone can understand immediately. With the recent advance of deep‑learning systems and generative AI, especially large‑language models like ChatGPT, Gemini, or Claude, promising to disrupt various areas, the ripple effects are also beginning to reach the world of user interfaces. Products like v0 (Vercel), Lovable, or Galileo AI are transforming the UI field, especially in fast prototyping and iteration cases. Could we use AI to build user interfaces for tens of thousands of customers? Could we create production-ready user interfaces in less than a minute? What is the future of UI and design? How does SAP approach the problem of UI generation? We will find answers to these complex but essential questions. Read More Technology Blog Posts by SAP articles
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