This training course will highlight:

• Systematic approach to effective analysis of business processes
• Business process modeling that accurately reflects reality
• Business Process Modelling Notation (BPMN)
• Business Analysis Body of Knowledge® (BABOK®)
• AI tools and techniques for innovation in business

• Understand business processes and their components
• Apply process analysis, planning, and measurement concepts
• Enhance organizations processes trough AI
• Apply IIBA® BABOK® best practice business analysis standards
• Develop a business process architecture
• Analyze process customer requirements
• Specify measures of business process performance (KPIs)
• Diagnose the health of a business process
• Use AI to transform business processes

At the end of this training course, you will learn to:

• Understand the AI uses and issues,
• Analyze the dimensions of a business in the modern era of AI,
• Learn about the implementation of AI within the business,
• Implement AI and ML in business analytics,
• Design a model of AI implementation within Business

This course is suitable to a wide range of professionals but will greatly benefit:

• Strategy developers and implementers,
• Visionaries,
• Developers,
• Operations Managers
• Project Managers
• Process Managers
• Business Architects and Analysts
• Systems Architects and Designers
• Quality Managers

The training course will combine presentations with interactive practical exercises, supported by video materials, activities and case studies. The seminars will use the most up-to-date presentation and interactive methods focusing on problem identification in the thematic area, and work of the participants on finding solutions, or ways to solve the identified problems through the discussion of practical examples and tasks.

Organizational Impact

Organizations need to be ready to adapt to the new realities, and implement revolutionary approaches to business, in line with innovation and sustainability drives.
The organizations will greatly benefit from:

• Enhancing the talent of their employees to foresee the challenges,
• Leveraging the disruptive technologies and techniques,
• Developing talent for the resolutions of the issues before they arise,
• Implementation of AI concepts within the existing and new developments,
• Reaffirmation of their dedication to the improvement of the enterprise

Personal Impact
The course will help the delegates deliver better and more inspired solutions, helping them to:

• Enhance their knowledge of modern AI,
• Realize their adoptability to the new business challenges,
• Improve the understanding of AI and ML,
• Realign their views from technology towards innovation,
• Apply AI in their day-to-day work.

Day 1 Understanding Business Processes trough AI
• Business processes analytics
• Types of business processes and its components
• Business process modelling concepts trough data analytics
• Practical exercise
• Key business process elements

Day 2 : Developing Business Process Models using AI
• Business Process Modelling Notation (BPMN)
• Basic BPMN elements
• Modelling business process events trough the use of Big Data
• Technology enablers and constraints for AI implementation
• Practical business process modelling work

Day 3 : Introduction & Practice with AI in Business Models
• Business Analysis Body of Knowledge® (BABOK®)
• Business architecture
• Representing business processes with Machine Learning Algorithms
• Business process management
• Business process optimization and prediction

Day 4 : Tools and Techniques for Business Model Innovation
• Design options and validation
• Identifying improvement opportunities using process models and AI
• Strategic planning support with business process models and AI
• Strategy implementation through improved processes
• AI as enabler

Day 5 : Business Process Integration and Optimization
• Process Customers / Stakeholders analysis
• Framework for Business Model Innovation
• Process Performance Improvements with the use of AI
• Risk Management Integration
• Asset and Knowledge Management Integration
• Innovation with Humans and AI in mind