This 2-day course introduces participants to the practical applications of Artificial Intelligence (AI) in business, focusing on how AI technologies can enhance decision-making, optimize operations, and elevate customer experiences. Through exploration of AI-driven tools such as automation, data analysis, and predictive modeling, attendees will gain insights into how AI is transforming industries across various sectors. Using real-world examples, the course provides a hands-on approach to understanding and applying AI solutions to drive business growth, innovation, and efficiency.

Key Points:

Understand the fundamentals of AI and its relevance in modern business.
Identify and utilize AI-driven tools to support business decision-making.
Apply AI in operations to enhance productivity and streamline processes.
Use AI for data analysis and predictive modeling to anticipate market trends and customer needs.

Download the course guide

We offer a comprehensive curriculum that covers all of the essential topics. Our experienced instructors will provide you with the support and guidance that you need to succeed.

Course Content

Introduction to AI in Business

Overview of AI and its impact on various industries.
Key concepts in AI, including machine learning, natural language processing, and data analytics.
Real-world examples of AI in business: trends, challenges, and opportunities.

AI for Decision-Making and Strategic Planning

Using AI tools to support data-driven decision-making.
Techniques for leveraging AI to improve forecasting and risk assessment.
Group activity: Identifying areas in your business where AI can inform strategic decisions.

Optimizing Operations with AI Automation

Introduction to AI-driven automation tools and their applications in business.
Exploring the role of AI in streamlining workflows and reducing manual tasks.
Case study: How automation improves efficiency in industries like manufacturing, logistics, and customer service.

Data Analysis and Predictive Modeling

Using AI for advanced data analysis: transforming data into actionable insights.
Introduction to predictive modeling and its applications for anticipating market trends and customer behavior.
Hands-on activity: Creating a basic predictive model using sample data.

Enhancing Customer Experience with AI

Techniques for using AI to improve customer service and personalization.
Overview of AI tools such as chatbots, sentiment analysis, and recommendation engines.
Workshop: Designing a customer experience strategy using AI-driven tools.

Implementing AI Solutions for Business Growth

Steps for integrating AI into business processes for sustainable growth.
Overcoming common challenges in AI adoption, including change management and data privacy concerns.
Action planning: Developing an AI roadmap to align with organizational goals and drive innovation.

Course Instructor

Carlo Pepe

Carlo Pepe is an AI Business Consultant with a fervent passion for unlocking the business value of artificial intelligence. With a keen eye for emerging technologies, Carlo delves into the realm of Web 3.0, with a particular focus on Decentralized Finance (DeFi) applications built on Blockchain, liquidity pools, and the world of crypto.

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24 February 2025

Dusit D2 Kenz Hotel

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