Artificial Intelligence for Business

 Educational goals

• Understand how to optimize business processes using AI.
• Explore data-driven decision-making via AI insights.
• Familiarize yourself with AI-powered BI tools.

 Learning Outcomes

• Apply AI concepts to real-life business challenges.
• Interpret AI results to support strategic decisions.
• Explore no-code AI tools for business analytics.

 General axes

1) Strategy and business impact

• How AI is reshaping business models.
• Predictive maintenance and industrial case studies.
• Identify areas where AI can be integrated within the organization.

2) Data-Driven Decisions

• How data analytics informs strategy.
• Business intelligence via IBM Cognos and interactive dashboards.
• Prepare a basic business insights report based on dashboards.

3) Non-technical manager tools

• AutoAI and business intelligence platforms.
• Automate reporting with IBM Watson.
• Customer segmentation and customer insights without code.

4) Marketing and Customer Experience

• Personalization and predictive analytics.
• Interacting with customers via chatbots and practical uses.
• Formulate an AI-powered marketing strategy.

5) Rating and offers

• Applied testing on business scenarios.
• Group presentations of AI-powered optimization plans.
• Balancing innovation with AI and human intuition.

6) Applied project

• A strategic plan to optimize the customer experience using chatbots and predictive analytics.