Prepare for 2025

Objective: To provide hands-on experience with real-world AI applications, emphasizing practical skills developed through empathetic problem-solving, design thinking, and market analysis.

Duration: 2 days

Key Components:

Project-Based Learning: Participants work on real-life case studies or projects, such as developing a machine learning model or optimizing AI algorithms for specific business needs.

Industry Insight Sessions: Interactive talks and Q&A sessions focused on the application of AI to enhance efficiency, support ideation, improve writing skills, produce more valuable and interesting content.

Peer Review and Collaboration: Participants present projects to peers for review and feedback, fostering collaborative learning. Projects can be problem-solving, opportunity-led, or new validating ideas.

Outcomes:

1. Develop practical AI skills applicable to current business needs.
2. Gain insights into industry-specific AI applications.
3. Enhance teamwork and collaborative problem-solving abilities.

Objective: To cultivate leadership skills tailored for the AI era, focusing on strategic decision-making, setting objectives, team management, project planning, and ethical considerations.

Duration: 2 days

Key Components:

Leadership Simulations: Interactive simulations where participants make critical decisions in AI-driven business scenarios. These could involve crisis management, ethical dilemmas, or strategic planning.

Expert Panels and Mentorship: Panels featuring AI thought leaders discussing leadership challenges and opportunities in an AI-driven world. Opportunity for participants to receive mentorship from these leaders.

Ethical Leadership: Sessions on the ethical implications of AI, including bias, privacy, and societal impact, guiding leaders on how to navigate these challenges responsibly.

Outcomes:

1. Enhanced ability to make informed, strategic decisions in an AI context.
2. Improved understanding of the ethical implications of AI in leadership.
3. Development of a leadership style that is adaptive and forward-thinking in the realm of AI.

Objective: To stimulate innovative thinking and creativity in developing AI interventions, focusing on user-centered design, speed of deployment, and measurement of corporate impact.

Duration: 2 days

Key Components:

Design Thinking Process: Guided exercises in design thinking to ideate and conceptualize AI solutions that address real-world problems. This includes empathy mapping, ideation, and prototyping.

Cross-Industry Challenge Sessions: Teams work on challenges that require applying AI solutions across different industries, encouraging out-of-the-box thinking and interdisciplinary approaches.

Prototype Showcase and Feedback: Teams develop and present a presentation incorporating a prototype of their AI-powered solution, receiving feedback from experts and peers.

Outcomes:

1. Ability to apply design thinking to AI solution development.
2. Broader perspective on how AI can be applied across various industries.
3. Practical experience in conceptualizing and prototyping AI solutions.