Foundations of AI in Business Strategy Training Course

• Define and explore what AI in business strategy truly means and how it impacts organizations today and in the future.
  

• Deep dive into the foundations of AI in detail, covering fundamental concepts such as machine learning, natural language processing, and data-driven decision making.
  

• Identify and differentiate the different types of AI for business applications, including narrow AI, general AI, and AI-powered automation tools.
  

• Analyze the key pillars of AI strategy including data infrastructure, technological integration, organizational culture, and ethics.
  

• Learn the role of AI in business strategies specifically tailored for 2025 and beyond, enabling participants to anticipate trends and prepare accordingly.
  

• Develop a practical 5 year AI strategy framework to guide business growth, innovation, and competitive positioning.
  

• Understand market forecasts and how many businesses will use AI by 2030, focusing on industry-specific adoption trends and use cases.
  

Target Audience

This course is crafted for corporate executives, business strategists, innovation managers, and senior leaders who want to embed AI seamlessly into their company’s strategic framework. It suits professionals across sectors including finance, retail, manufacturing, healthcare, and technology, who aspire to lead AI-driven transformation initiatives. Business consultants, AI project managers, and CIOs seeking a robust understanding of AI strategy foundations will also find immense value in this specialization offered by British Academy For Artificial Intelligence.

Module 1: Introduction to AI in Business Strategy

• Defining what AI in business strategy means in today’s corporate landscape
  

• Evaluating the impact of AI on business models and competitive dynamics
  

• Case studies of successful AI-driven business transformations
  

Module 2: Foundations of Artificial Intelligence Explained

• Overview of AI technologies and terminologies
  

• Deep dive into machine learning, neural networks, and natural language processing
  

• Data ecosystems as the backbone of AI in business
  

Module 3: Exploring Types of AI for Business Applications

• Narrow AI vs General AI and their business relevance
  

• AI-powered automation: robotic process automation and intelligent agents
  

• Emerging AI technologies shaping the corporate world
  

Module 4: Pillars of an Effective AI Strategy

• Data strategy and management for AI initiatives
  

• Integration of AI technology into existing business processes
  

• Organizational culture, ethics, and AI governance
  

• Continuous learning and innovation as driving forces
  

Module 5: Strategic Value of AI in Business for 2025 and Beyond

• Trends shaping the future role of AI in business strategy
  

• Preparing organizations for AI-driven disruption and opportunity
  

• Aligning AI initiatives with business objectives and market demands
  

Module 6: Crafting Your 5 Year AI Strategy

• Step-by-step framework to build and implement a multi-year AI roadmap
  

• Setting measurable objectives and KPIs for AI adoption
  

• Change management and aligning stakeholders with AI vision
  

Module 7: AI Adoption Outlook to 2030

• Market research and forecasts on AI adoption rates
  

• Analyzing how many businesses will use AI by 2030
  

Industry-specific AI applications and competitive insights