This course is designed for senior, middle and high potential management who recognize that digital transformation and AI is unavoidable; and for those who understand that continuous improvement, innovation and disruption is part of doing business and want to be prepared and reap the benefits of Artificial Intelligence.
In short, this course is for managers wanting to identify what AI can do for them and to drive Digital Transformation, rather than understand the technical methodologies of what happens underneath its hood.
Understanding of basic technology concepts such as data and cloud is helpful but not required.
Duration
5 Days
Programme Overview
Artificial Intelligence for Business Optimization is a program for learners seeking the competitive edge in emerging business technology. Technology-oriented professionals, online marketers, statisticians, automation innovators and data professionals will benefit from interactive learning course. In this course, you’ll learn the fundamentals of Big Data, Artificial Intelligence, and Machine Learning, and how to deploy these technologies to support your organization’s strategy. You’ll learn about the different types and methods of Machine Learning, and how businesses have applied Machine Learning successfully. You’ll also cover the ethics and risks of AI, and how to design governance frameworks for proper implementation. By the end of this course, you’ll have a foundational understanding of AI and Machine Learning in business, and be able to incorporate these technologies into your business strategy.
Objectives
By the end of the course, participants will be able to:
Explain AI as a concept and all its applications
Apply the different AI applications in the business value chain
Demonstrate the technologies and algorithms behind AI
Apply best practices in an AI project with its activities
Assess the available and necessary skills and competencies
Discuss on a qualified level with business and data specialists on relevant topics
Create and execute an AI strategy and develop an AI ready organization
Course Outline
Module One - Introduction to Artificial Intelligence (AI), Machine Learning (ML) and Data Science
AI in historical setting and combinatorial technologies
Introduction to AI, concepts, narrow and general AI
Different types of AI
AI - sense, reason, act
The thinking in AI: Machine learning
Module Two - Advanced Analytics vs Artificial Intelligence
Looking back, now, forward
4 types of data analytics
Analytics value chain
Module Three - Algorithms but without technical jargon
Supervised learning
Unsupervised learning
Reinforcement learning
Data as fuel for AI
Structured and unstructured data
The 5 V’s of data
Data governance
The data engineering platform
Just enough to understand the data architecture
Big data reference architecture
3 categories of data usage
Module Four - AI opportunity matrix
Successful use cases by Porter’s value chain
Primary activities
Supporting activities
Successful use cases by technology
NLP
Image recognition
Machine learning
Ideation of AI projects
AI Funnel process
Several idea generation approaches
Prioritize projects
AI project canvas
Running of AI projects
Machine learning life cycle
AI machine learning canvas
When to make and when to buy AI solutions
How to transform to an AI ready organization
Use the AI strategy cycle
Dimensions of the AI framework
Practical approach to assess the AI maturity of the organization
