The Potential Impact of AI on Decision-Making

DETAILS:

The Potential Impact of AI on Decision-Making

Duration:

2.5 Days

Group Size

15 (max)

Venue

Swiss Rail-Park in Biasca TI OR Lake Lugano Boat Course in Lugano TI

Target Audience

C - Suite

Trainer

Industry

Multiple sectors

Cost

7000 Chf

Course Extra Info

• Upon confirmed registration, participants will be provided with an individual tablet containing the details of the official course schedule, the name and extended profile of the MBC course trainer and the forms and modules to be completed by the participants.)
• All social events will be announced during reception for participants to register… if interested

WHY MBC?

1. To step into the future of business with MBC, combining cutting-edge AI technology with strategic decision-making to drive lasting business transformation.
2. To help C-suites master the future of business leadership by equipping themselves with the knowledge and tools to lead confidently in the AI era.
3. To discover how leading executives can turn AI from a buzzword into a game-changer strategy for their organizations—where real stories are generating real results.
4. To enjoy the decades of experience in executive development, that MBC Business Consultants offer by bringing together the brightest minds that are reshaping AI leadership and corporate strategy.
5. To master actionable insights and strategies in the AI journey of executive transformation

The dates of this course: -- -- --
To register for this course contact MBC

2,5-days executive development facilitation program SCHEDULE:

COURSE -1 : ARTIFICIAL INTELLIGENCE (AI) FOR C-SUITES
  • Friday  17-20 Hours:
      • Registration (course e-tablets, name tags, course material)
      • MBC reception (Welcome speech and course outline by MBC corporate staff)
      • Welcome Dinner.
      • Networking, Photo Session (optional)
  • Saturday 09:00-17:00 Hours
      • 09:00-12:00 Hours: 1st Working session + Coffee break
      • 12:00-1400 Hours:  Buffet Lunch (photo session -optional)
      • 14:00-17:00 Hours: 2nd. Working Session + Coffee break
  • Sunday 09:00-17:00 Hours
      • 09:00-12:00 Hours: 1st. Working session + Coffee break
      • 12:00-14:00 Hours: Buffet Lunch (photo session – optional)
      • 14:00-17:00 Hours: 2nd. Working session + Coffee break
      • 17:00-17:30 Closing ceremony (handing certificate-photo session)

Introduction

This executive-level MBC course, “The Potential Impact of AI on Decision-Making”, is designed to equip participant business leaders with the knowledge and expertise to leverage on artificial intelligence to enhance their decision-making capacity. Through real-world case studies, interactive workshops, and AI-driven simulations, participant leaders will gain insights into the role AI can play in helping them develop competitive strategies

  • AI Expertise and Smarter Decision-Making
  • Human vs. AI Judgment
  • Business Optimization
  • Strategic AI Integration
  • Risk & Compliance Management
  • Ethical AI Leadership
  • Competitive Advantage through AI
  • AI Future-Ready Leadership
  • By the end of this course, participants will:

    • Gain a comprehensive understanding of AI, Machine Learning, Deep Learning, and Generative AI in business applications.
    • Explore AI’s transformative impact on executive decision-making across industries.
    • Utilize AI-driven analytics for enhanced efficiency, speed, and accuracy in decision-making.
    • Determine when to rely on AI versus human intuition in critical business decisions.
    • Identify AI applications for innovation, cost reduction, and operational efficiency.
    • Integrate AI as a strategic decision-support tool in corporate frameworks.
    • Assess and mitigate AI-related risks, including bias, cybersecurity threats, and regulatory challenges.
    • Ensure ethical AI adoption, prioritizing fairness, transparency, and compliance.
    • Analyze AI strategies employed by industry leaders such as Amazon, Tesla, Google, JPMorgan, and Netflix.
    • Apply AI-driven business models to enhance customer engagement and revenue streams.
    • Evaluate emerging AI advancements and their implications for executive leadership.
    • Develop a forward-looking AI strategy to future-proof organizational success.
  • Participants will engage in a dynamic and immersive learning experience, incorporating:

    • Executive-Level Case Studies & Best Practices
    • Facilitated Discussions & Expert Panels (whenever possible)
    • Interactive Workshops & Breakout Sessions
    • AI-Powered Decision Simulations
    • Q&A and Personalized AI Strategy Sessions
    • Action Planning & Takeaway Frameworks
    • Interactive PPT-Based Lectures
    • Experiential Learning Exercises
    • Role-Playing Scenarios
    • Guest Speaker Sessions (whenever possible)
    • Video Analysis
    • Digital Course Materials (Tablets Provided to help participants follow the course)

The Corporate impacts of this courses include:

  • Enable leaders to make data-driven, high-impact decisions with AI-powered analytics in their own firms.
  • Enhance operational efficiency through AI-driven automation and predictive analytics in their own firms.
  • Equip leaders with tools that will help their firms to gain competitive advantage, unlock new revenue streams, and enhance customer experiences.
  • Strengthen their firms risk management capabilities by helping them proactively address AI-related challenges.
  • Empower participant organizations to anticipate disruptions and drive innovation to attain sustainable growth.
  • Foster in the participant organizations the transparent ethical adoption of AI in compliance with their corporate frameworks.
  • Develop AI-literate executives capable of leading AI transformation initiatives.

The participants will acquire valuable insights and skills, including:

  • Enhanced AI Decision-Making Skills
  • Develop a Strategic AI Integration Mindset
  • Develop a Competitive Advantage Leadership through AI
  • Develop Expertise in AI Risk Management
  • Develop an Ethical AI Leadership and Governance
  • Develop a Practical Implementation of AI Frameworks
  • Develop a Strengthened Influence & Thought Leadership through AI
  • Who should attend?

    This course is designed for:

    • C-Suite Executives
    • Board Members
    • Business Owners
    • Senior Managers & Directors
    • Strategy & Innovation Leaders
    • Policy Makers & Regulators
    • Entrepreneurs & Investors

Course Schedule

Day 1

Introduction to AI in Business

  • Overview of AI: Machine Learning, Deep Learning, and Generative AI
  • Evolution of AI in Decision-Making
  • Case Studies: AI-Driven Business Decisions at Amazon, Google, and JPMorgan

AI vs. Human Decision-Making

  • Strengths and Limitations of AI in Decision-Making
  • Cognitive Bias vs. Algorithmic Bias
  • AI in Data-Driven vs. Intuitive Decision-Making
  • Interactive Exercise: AI vs. Human – Evaluating Decision Outcomes

AI-Powered Decision-Making Models

  • Predictive and Prescriptive AI Analytics
  • AI in Financial Forecasting, Risk Management, and Strategic Planning
  • AI’s Role in Customer Insights and Market Analysis
  • Case Study: Netflix’s AI-Driven Decision-Making in Content Strategy

Ethical and Regulatory Considerations

  • Ethical Implications of AI in Decision-Making
  • Regulatory Landscape: GDPR, AI Act, and Compliance Challenges
  • AI Bias: Ensuring Fairness and Transparency
  • Panel Discussion: Balancing AI Innovation with Ethical Responsibility

 

 

Day 2

AI Integration Strategies for the C-Suite

  • Incorporating AI into Corporate Decision-Making
  • AI as a Decision-Support Tool vs. Autonomous Decision-Maker
  • Key AI Technologies for Enterprises (NLP, RPA, AI Chatbots, etc.)
  • Interactive Discussion: Developing an AI Adoption Roadmap

AI for Competitive Advantage

  • AI in Business Strategy: Gaining a Market Edge
  • Leveraging AI for Process Optimization & Cost Reduction
  • Case Study: Tesla and IBM’s AI-Driven Competitive Strategies
  • Breakout Activity: Identifying AI Opportunities in Your Industry

AI Risks and Crisis Management

  • AI Failures and the Consequences of Incorrect AI Decisions
  • AI in Cybersecurity and Fraud Prevention
  • Managing AI-Related Risks in Business Operations
  • Scenario Planning Exercise: AI-Driven Crisis Response

Future of AI in Executive Decision-Making

  • AI Trends Shaping Business Leadership Over the Next Five Years
  • Human-AI Collaboration: The Augmented Executive
  • Preparing for AI-Driven Business Models
  • Review of the course
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