The British Academy for Training and Development offers the Analytics and Artificial Intelligence (AI) for Strategic Management Training Course. This intensive course covers critical applications related to data analytics, machine learning, and artificial intelligence (AI) for strategic management. Attendees will develop hands-on skills for processing data, predictive modelling, and AI-based decision-making insights for business. The course also covers the concepts of responsible use of AI, such as data governance, AI ethics, and business intelligence systems. Further, the course delves into conceptual frameworks for strategic decision making, AI application within the business model, and real-time data processing to enhance responsiveness in fast-moving markets. Other topics include big data analytics, automated reporting, and management of AI systems, buttressed by applied methods of forecasting, optimisation, and scenario analysis. By the end of this course, attendees will have mastered the art of applying AI instruments for strategic planning, aligning data science with business objectives, and leading their organisations in digital transformation with all confidence and ethical responsibility.
Objective:
By the end of this training course, attendees will be able to:
Learn numbers and trends for data analytics and artificial intelligence (AI) in the context of strategic management.
Use predictive modelling and apply machine learning techniques to either a real-business problem or case study.
Use AI and big data as effective routes to bettering strategic decisions.
Formulating and Developing AI-based Business Strategies.
Managing Ethical Use and Governance for Data in AI Systems.
Integration and Evaluation of Business Intelligence Systems for Performance Optimisation.
Who Should Attend?
This course is ideal for:
Senior executives and strategic managers;
Data analysts and business intelligence professionals;
IT and AI professionals committed to business strategy;
Consultants specialising in digital transformation;
Professionals who wish to improve their knowledge about AI for management.
How Will Attendees Benefit?
Attendees of this course will gain many benefits:
Strategic Decision Making Skills: Understand how to use AI-driven insights and data analysis for evidence-based strategic decision-making: making skills.
Experience Hands-on artificial intelligence lets you experiment with predictive analytics, machine learning models, and business intelligence tools pertinent to actual company issues.
Competitive Advantage: This entails learning deeply how to use artificial intelligence techniques to surpass rivals, raise operational efficiency, and advance sustainable growth.
Enhance analytic thinking: Big Data Analytics helps people to analyse difficult data, see trends, and identify realistic business opportunities by improving their analytical ability.
Ethical AI Awareness: Integrate AI governance and ethics, bound into strategy, for responsibly and compliantly implementing AI.
Digital Transformation Leadership: Gain confidence and relevant knowledge to lead the company in AI adoption and digital transformation initiatives.
Strategy Design: Develop a capability for custom-building and implementing strategies that match selected organisational goals and industry challenges aligned with AI.
Introduction to Strategic Analytics
Role of data analytics in modern management
Overview of strategic decision-making frameworks
Evolution of AI in business strategy
Fundamentals of Artificial Intelligence (AI)
Definitions and types of AI
Key components: machine learning, deep learning, natural language processing
Introduction to AI algorithms
Data Collection and Management
Data sourcing and cleaning techniques
Data governance and compliance standards
Building reliable data infrastructure
Predictive Analytics and Forecasting
Techniques in predictive modelling
Real-world applications for market forecasting and trend analysis
Case studies on AI-driven insights
Machine Learning for Strategic Management
Supervised vs unsupervised machine learning
Implementing ML models for business scenarios
Using AI tools for risk assessment and opportunity analysis
Big Data and Real-Time Analytics
Working with big data platforms
Benefits of real-time data processing
Use of stream analytics in decision-making
AI in Business Intelligence Systems
Integration of AI in BI dashboards
Automated report generation and performance monitoring
Enhancing data visualisation and storytelling
Ethical Considerations and AI Governance
Understanding AI ethics
Challenges in data privacy and bias mitigation
Frameworks for responsible AI use
AI Strategy and Digital Transformation
Aligning AI capabilities with organisational goals
Steps for leading digital transformation
Developing and executing an AI integration plan
Capstone Session: Strategic Application of AI
Group case study on AI-powered business strategies
Interactive session for applying analytics tools in strategic planning
Feedback and discussion on implementation roadmaps
Note / Price varies according to the selected city
Compensation and Benefits Management
2025-12-15
2026-03-16
2026-06-15
2026-09-14