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Artificial Intelligence AI for Business Professionals

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Artificial Intelligence AI for Business Professionals

B2270

London (UK)

22 Dec 2025 -26 Dec 2025

5850 €

Overview

Introduction:

Artificial Intelligence (AI) is transforming business operations by automating tasks, optimizing decision-making, and enhancing customer experiences. Mastering AI's capabilities, applications, and strategic implications is essential for business professionals seeking to leverage its potential. AI-powered tools and analytics enable organizations to improve efficiency, enhance customer experiences, and develop data-driven strategies. This training program equips participants with the knowledge to integrate AI into business strategies, drive innovation, and improve organizational efficiency.

Program Objectives:

At the end of this program, participants will be able to:

  • Explore AI principles and their impact on business operations.

  • Evaluate AI-driven strategies for enhancing decision-making and efficiency.

  • Identify ethical and regulatory considerations in AI adoption.

  • Discover AI applications in customer service, marketing, and operations.

  • Develop strategic approaches for integrating AI into business models.

Targeted Audience:

  • Business executives and managers.

  • Digital transformation leaders.

  • Marketing and sales professionals.

  • Business consultants and strategists.

  • Entrepreneurs and innovation managers.

Program Outline:

Unit 1:

Fundamentals of AI in Business:

  • Definition and key concepts of artificial intelligence.

  • The role of AI in modern business environments.

  • Introduction to machine learning, deep learning, and data analytics.

  • Business intelligence and AI-powered decision-making.

  • Challenges and opportunities in AI adoption.

Unit 2:

AI-Driven Business Strategies:

  • Key activities for leveraging AI for competitive advantage.

  • Overview of AI in financial forecasting and risk management.

  • Overview of AI applications in marketing and customer insights.

  • Predictive analytics measures for business optimization.

  • AI-powered automation and efficiency improvement strategies.

Unit 3:

Ethical and Regulatory Considerations in AI:

  • AI governance and compliance frameworks.

  • Ethical implications of AI in business decisions.

  • Data privacy and security in AI applications.

  • Bias and fairness in AI algorithms.

  • Global regulations and policies on AI adoption.

Unit 4:

AI Applications Across Industries:

  • AI in supply chain and logistics optimization.

  • AI-driven customer service and chatbots.

  • AI in HR and talent acquisition.

  • AI’s role in healthcare and financial services.

  • Emerging trends in industry-specific AI adoption.

Unit 5:

Implementing AI in Business Models:

  • Key activities involved in developing AI strategies for business growth.

  • Frameworks for integrating AI with business processes.

  • Steps for managing AI transformation in organizations.

  • Tools for measuring AI success and return on investment.

  • Future of AI in business and emerging innovations.