AI4 Innovation -1 -day, consultant, trainer workshop | #3 Europe

Are you passionate about AI and innovation?
We're seeking collaborators to join us in our mission to train 1 million innovators by 2027. This workshop offers a unique opportunity to explore new ways to learn , work together and contribute to this ambitious goal.

Benefits of attending

• Learn how to work better, faster and easier with AI
• Get access to our AI4 Innovation toolkit
• Work together with other consultants on shared challenges
• Become a collaborating partner

What We Bring to the Table:
We've already established a strong foundation for AI-driven innovation.

1. Award-Winning Book: Gain insights from our acclaimed book, "The Cycles Book: www.thecyclesbook.com" .
2. Award winning Courses: Explore our range of engaging courses on www.ai4innovation.com
3. A Comprehensive AI Toolkit: Leverage our powerful AI for Innovation toolkit, accessible at https://ai4innovation.pythonanywhere.com/
4. A 2.5 Day Ai-Augments sprint system. Run and innovation sprint in half the time and generate 2-3 times more results

We’re ready to share these tools and methods and a lot of energy

Workshop Structure:

This interactive one-day workshop will combine informative talks with collaborative group work. You'll tackle real-world challenges faced by consultants, fostering creativity and innovation. The day concludes with group pitches and collaborative brainstorming on next steps.

Focus on Consultants' Needs:

While the workshop covers similar material to our regular courses, it's specifically tailored to address the challenges and opportunities unique to consultants in the field.

Dates and times

Consultant Day Europe Wednesday, May 8, 11:00 -19:00 CET
https://www.eventbrite.com/e/885040539077

Consultant Day US Friday, May 10, 11:00-19:00 EST
https://www.eventbrite.com/e/885040539077

Consultant Day Europe Saturday, May 11, 11:00-19:00 CET
https://www.eventbrite.com/e/885041762737

Consultant Day US Saturday, May 18, 2024 11:00-19:00 EST
https://www.eventbrite.com/e/885042525017

Schedule:
Late Morning Session:
11:00 - 11:20 | Introduction and Overview
11:20 - 11:40 | Working with AI + choose a challenge
11:40 - 12:00 | Coffee Break
12:00 - 12:30 | Align: The Essentials of Innovation
12:30 - 13:40 | Building and Communicating Ideas

Afternoon Session:
13:40 - 14:00 | Open Discussion on AI for Good
14:00 - 14:30 | Lunch Break
14:30 - 15:30 | Checking Ideas and Systems View of Innovation
15:30 - 15:40 | Coffee Break
15:40 - 16:00 | AI Limitations, and Customization
16:00 - 16:20 | Speed Dating
16:20 - 16:30 | Short Break

Late Afternoon Session:
16:30 - 16:45 | Making Pitches - Tool Intro
16:45 - 17:45 | Making Pitches
17:45 - 18:00 | Group Presentations
18:00 - 18:20 | Wrap-Up and Feedback
18:20 - 18:45 | Agreement on Next Steps

Choose from 10 different challenges

Challenge 1: AI-Augmented Sprints

Objective: Develop adaptable sprint frameworks that integrate AI tools to streamline and enhance the innovation sprint process for companies of all sizes and industries.

Focus Areas: Automate and improve aspects of sprints like ideation, prototyping, and user feedback analysis using AI.

Deliverable: A collection of AI-powered sprint models that boost efficiency and fuel creative problem-solving across various sectors.

Challenge 2: AI for Good - Global Impact

Objective: Design strategies to operationalize a proposed AI4Good program, aiming to engage 150,000 participants worldwide in tackling global social issues like health disparities, environmental sustainability, and educational gaps.

Focus Areas: Leverage AI for effective program management, participant recruitment, and project tracking to maximize reach and impact.

Deliverable: A scalable action plan for the AI4Good program, ensuring broad participation and addressing critical social challenges.

Challenge 3: Mini-AI Workshops - Opening Doors

Objective: Create engaging, sector-specific mini-workshops that introduce potential clients to AI technologies and their practical applications.

Focus Areas: Develop a condensed curriculum covering essential AI concepts, real-world use cases, and live demonstrations of AI solutions.

Deliverable: A collection of customizable mini-workshops showcasing how AI can be tailored to meet the needs of diverse businesses and industries, accelerating AI adoption.

Challenge 4: Building an AI Readiness Assessment

Objective: Design a survey that helps businesses assess their preparedness for AI integration.

Focus Areas: Develop an evaluation framework that measures key aspects of AI readiness, including technical infrastructure, workforce AI literacy, and organizational culture.

Deliverable: A user-friendly toolkit with a scoring system and roadmap template to guide businesses on their journey towards AI readiness.

Challenge 5: Creating a Common AI Toolkit

Objective: Collaboratively develop a standardized set of AI resources and tools applicable across various projects and industries, building upon an existing collection of 265 tools and 6 apps.

Focus Areas: Include code libraries, project templates, best practices, and case studies within the toolkit to streamline AI project development and enhance overall efficiency.

Deliverable: A centralized, user-friendly AI toolkit that simplifies resource access and fosters collaboration across diverse projects.

Challenge 6: Linking AI Training with Real-World Projects

Objective: Establish a learning platform that bridges the gap between theoretical AI training and practical application.

Focus Areas: Develop a program that connects AI training directly to hands-on projects, allowing consultants to apply their newly acquired skills under the guidance of experienced professionals.

Deliverable: A practical training program that equips consultants with the ability to seamlessly transition from AI training to real-world project implementation.

Challenge 7: Building Personalized AI Toolkits - Industry Focus

Objective: Enhance an existing foundational toolkit known for generating innovative ideas by creating industry-specific datasets.

Focus Areas: Explore methods to effectively scale the development of industry-specific datasets, personalizing the toolkit for various sectors.

Deliverable: An expanded toolkit with industry-specific datasets that cater to the unique needs and challenges of diverse business segments.

Challenge 8: AI for Faster Proposals - Client Insights

Objective: Design an AI-powered system that analyzes client data and market trends to streamline the consulting proposal creation process.

Focus Areas: Develop AI tools to generate powerful, personalized proposals more quickly and effectively.

Deliverable: An AI-powered proposal generation system that improves efficiency and the quality of client proposals.

Challenge 9: AI Tool Sharing Platform

Objective: Create a comprehensive system for sharing a broad array of AI tools and methodologies, expanding upon a preliminary model.

Focus Areas: Develop a system that supports initial collaborative activities with revenue sharing, evolving to allow for direct tool usage with a fee structure.

Deliverable: A user-friendly AI tool sharing platform that fosters collaboration and expands access to innovative tools across various industries.

Challenge 10: Self-learning AI teaching programs

Objective: Create a self-learning AI teaching program

Focus Areas: Develop a learning system that dynamically evolves and adapts to user needs.

Deliverable: Ideas for a tool-based AI4 education program that could be profitable and run together.