Innovation Management with AI
Systematic innovation engines
Build AI-powered innovation systems that continuously generate, evaluate, and incubate new ideas.
Elena Marchetti
Professor of Creative Design & Visual Intelligence
MFA (RISD), BS (UC Berkeley Design), Ex-Figma Head of Design Systems
or 4,900 credits
Plan: starter
What You'll Learn
Build ideation systems
Manage innovation portfolios
Course Curriculum
5 chapters · 270+ minStructure vs creativity
Core Concept Fundamentals
Building essential knowledge of fundamental principles and methodologies in this domain.
- Understand core principles and theories
- Apply foundational frameworks correctly
- Build knowledge progressively
- Connect concepts to practical applications
Practical Application Essentials
Translating theoretical knowledge into actionable strategies.
- Connect theory to practice
- Identify application opportunities
- Execute implementations effectively
- Measure application outcomes
Lecture · Chapter 1 of 5
The Innovation Paradox
The Innovation Paradox
This lesson is The Innovation Paradox. Structure vs creativity
Optional: render an on-demand high-definition instructor video
On-demand render \u00b7 photoreal instructor \u00b7 synchronized narration \u00b7 charged at per-use Credits when enabled.
Course Project
AI Innovation Engine
Design an innovation management system.
Prerequisites
- Business strategy knowledge
Topics Covered
Your Instructor
Elena Marchetti
Professor
Former Figma Head of Design Systems who built scalable visual frameworks for 500+ enterprise brands. Developed the Neural Design System — AI-powered visual identity that adapts across every touchpoint while maintaining brand integrity.
10
Courses
14K
Students
4.8
Rating
Academy at a Glance
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