The Innovation Engine Leveraging AI for Breakthrough Ideas #254033

Upon completion of this course, participants will be able to:

• Reframe the Innovation Process: Integrate AI as a collaborative partner into each stage of the innovation lifecycle, from problem definition to solution scaling.

• Master AI-Augmented Ideation Techniques: Utilize Generative AI and other tools to overcome cognitive biases, generate novel concepts, and explore vast solution spaces.

• Identify Emerging Opportunities: Leverage AI-driven trend analysis and market scanning to spot unmet needs and white-space opportunities before competitors.

• Prototype and Validate at Speed: Use AI tools to rapidly build prototypes, simulate user feedback, and conduct market validation, dramatically reducing time-to-insight.

• Foster an AI-Powered Innovation Culture: Design processes and build teams that effectively combine human creativity with machine intelligence to foster a continuous pipeline of ideas.

• Evaluate and Select AI Innovation Tools: Navigate the landscape of AI-powered innovation platforms and select the right tools for specific tasks.

This course is designed for professionals responsible for driving growth, new products, and strategic initiatives:

• Product Managers & Product Developers

• R&D Managers & Researchers

• Innovation Managers & Directors of Innovation

• Marketing Strategists & Brand Managers

• Business Development & Corporate Strategists

• Design Thinkers & UX Strategists

• Entrepreneurs & Intrapreneurs

• Consultants in innovation and digital transformation

• Pre-assessment
• Live group instruction
• Use of real-world examples, case studies and exercises
• Interactive participation and discussion
• Power point presentation, LCD and flip chart
• Group activities and tests
• Each participant receives a binder containing a copy of the presentation
• slides and handouts
• Post-assessment

Day 1: Igniting the Engine: AI as Your Innovation Partner

• AM: The New Paradigm of Innovation

  • From human-centric to human-AI collaborative creativity.

  • Case Studies: Breakthrough products and services born from AI-augmented ideation.

  • Demystifying AI for Creators: A non-technical overview of Generative AI, NLP, and predictive analytics.

• PM: Framing the Challenge for AI

  • The importance of the problem statement: How to brief an AI for innovation.

  • Workshop: Using AI to redefine and reframe a core business challenge, uncovering new angles and perspectives.

Day 2: Ideation & Concept Generation at Scale

• AM: The AI-Augmented Brainstorm

  • Techniques for using Generative AI (e.g., ChatGPT, Claude) to generate hundreds of ideas, concepts, and features in minutes.

  • Moving beyond clichés: Prompt engineering for novelty and specificity.

  • Hands-on Exercise: Running a structured AI-powered brainstorming session on a live challenge.

• PM: Converging and Curating

  • Using AI to cluster, categorize, and evaluate large idea sets against strategic criteria.

  • Identifying the most promising concepts for further development.

  • Workshop: From 100 ideas to 3 high-potential concepts.

Day 3: Sensing the Future: Trend Spotting & Opportunity Identification

• AM: AI-Powered Market Intelligence

  • Using AI to scan the external environment: analyzing news, patents, research papers, and social media to detect emerging trends and weak signals.

  • Identifying white space and unmet customer needs through AI-driven analysis of large-scale feedback data.

• PM: Designing Future Scenarios

  • Using AI to build detailed scenarios and explore the implications of trends on your business.

  • Workshop: Developing a trend-led innovation opportunity report for your industry.

Day 4: Prototyping, Validation & Business Modeling

• AM: Rapid AI-Powered Prototyping

  • Using GenAI to create product mockups, draft landing pages, and generate marketing copy to test concepts quickly and cheaply.

  • Simulating user feedback and predicting potential adoption hurdles.

• PM: Building the Business Case

  • Using AI to model business cases, forecast potential market size, and identify key resources needed.

  • Workshop: Building a preliminary pitch for an AI-generated concept, complete with a prototype and initial business model.

Day 5: Building Your Innovation Engine

• AM: The Tools, Tech, and Team

  • Landscape of AI innovation tools: from ideation platforms to market intelligence software.

  • Designing a cross-functional innovation team that includes AI as a core member.

  • Creating a workflow for continuous AI-augmented innovation.

• PM: Capstone: Your Innovation Sprint

  • Final Exercise: Teams will run a full AI-powered innovation sprint on a new challenge, from problem framing to a validated concept pitch.

  • Presentations and feedback.

  • Course Wrap-Up: Creating a personal action plan to integrate these techniques into your organization’s innovation process.