Upon completion of this course, you will be able to:

• Acquire is an understanding of the key trends in AI and how these are influencing the future of business
• Identify areas where your business is ripe for automation and digital transformation
• Gain confidence in the management of AI projects
• Identify the pitfalls and ethics concerns associated with AI

The following items describe the outline of the course:

Day 1:

Introduction to Artificial Intelligence (60 min)

• Origins of Artificial Intelligence and a Brief History of the AI Revolution
• The AI landscape
• AI and Digital Transformation
• Artificial Narrow Intelligence vs. Artificial General Intelligence
• Predictive vs Prescrptive AI

AI In Relent Times (30 min)

• The role of Big Data
• Cloud Computing and AI
• Mobile Computing and AI

Machine Learning and Deep Learning (120 min)

• Image Recognition
• Speach Recognition
• Search
• Clustering
• NLP
• Optimization
• Prediction
• Understanding Data – Pattern Recognition

AI application in business (90 min)

• Applying the AI framework
• Employee on-boarding
• Invoice processing
• Payments
• Logistics and SCM
• Costumer Service and ticketing
• Robotics
• IoT

Model Creation and Validation (90 min)

• Prediction: linear regression, nonparametric regression
• Forecasting: ARIMA and RNN’s
• Classification: logistic regression, decision trees, SVM’s
• Clustering: k-means, hierarchical clustering
• Supervised vs. unsupervised vs. semi-supervised learning
• Dimension reduction: principal components
• Languages and environments (e.g. R, Python) and standards (PMML)

Day 2:

Data Visualization (30 min)

• Practical and effective visualization: beyond bar charts
• Finding the unexpected: the role of visualization in exploratory analysis
• Communicating findings: the role of visualization in communicating Data Science outputs
• Standard tools: R, Tableau, D3

AI In Action (60 min)

• How AI is enhancing customer engagement
• How AI is optimizing business processes – BPA
• How AI is generating insights – pattern recognition

Starting an AI Journey (90 min)

• Aligning AI with Business Strategy
• Understanding your AI ambitions
• Assessing your AI maturity
• Creating your AI heat map
• Developing the AI Business Case
• Understanding Change Management
• Developing your AI Road Map
• Creating your AI Strategy

AI Prototyping (60 min)

• Build vs Buy vs Platform
• Creating your first AI product
• Understanding Data Training and Tuning
• The challenge of poor data and unintended bias
• Becoming over-dependent on AI

Hands-on Exercise – Discussion on Building an AI-driven Enterprise (60 min)

• Identify which areas of your business are suitable for AI
• The role of high-level management in enabling AI decisions
• Creating a data-driven business and the infrastructure to deliver it
• The ethics of AI

Case Studies (60 min)

• Case studies in Manufacturing, Finance and Healthcare
• Future-proofing your Business
• The Next opportunities for AI