Day 1: Introduction to AI in Business
Overview of AI and its evolution in the business landscape.
Key AI technologies: Machine Learning, Natural Language Processing, and Computer Vision.
Identifying AI opportunities within an organization.
Overview of industries transformed by AI: Retail, Healthcare, Finance, and Manufacturing.
Day 2: AI for Data-Driven Decision-Making
Role of predictive analytics in business strategy.
Using AI to analyze customer behavior and trends.
Introduction to AI tools for data visualization and analysis.
Case study: AI-driven decision-making in a real-world scenario.
Day 3: AI in Process Optimization
Applications of AI in supply chain and logistics.
Enhancing operational efficiency through AI-powered automation.
Exploring AI for inventory management and demand forecasting.
Case study: AI in supply chain optimization.
Day 4: AI for Enhanced Customer Experience
Personalization using AI: From marketing to customer support.
AI-driven chatbots and virtual assistants in customer engagement.
Leveraging AI for predictive customer service.
Case study: Successful AI implementation in customer experience.
Day 5: Implementing AI in Your Organization
Developing an AI implementation strategy: Tools, teams, and timelines.
Ethical considerations and challenges in AI adoption.
Building a business case for AI investment.
Workshop: Creating an AI roadmap for your organization.