This document provides an overview of artificial intelligence and discusses data science versus AI. It outlines the objectives of understanding AI fundamentals, identifying data-driven opportunities, and appreciating the steps required for AI readiness. It also describes applications of AI like image recognition, speech recognition, and natural language processing. Finally, it discusses the importance of executive commitment, business decisions, and budget for AI readiness.

1. Demystifying
Artificial
Intelligence
title.AI+Blockchain for Social Impact
5 March 2019
Wiebke Toussaint
Data Scientist, Applied AI Researcher

2. Presentation title.
Date, 2016
Name Surname
Job title
Objectives
Workshop Take Aways
• Understand AI fundamentals
• Be able to identify data-driven
opportunities
• Appreciate the precursory steps
required for AI readiness

3. Overview of AI
See
Hear
Move
Speak
Decide
Reason
Feel

4. Applications of AI
Image credit:
www.cairnstoon.com
image recognition
speech recognition
motor control
text recognition

5. Data Science vs AI
machine
learning
Artificial intelligenceData science
robotics
computer vision
natural language processing
knowledge representation
& reasoning
planning
software engineering
visualisation
data mining
cloud computing

6. bigdata
novel insights
BI, Stats & Data Science

7. Data science: the art & science of deriving
valuable (business) insights from big data

9. Big Data Overview

10. Big Data Overview
data vs digital

11. Machine Learning Toolbox

12. Machine Learning Toolbox

13. Machine Learning Toolbox

14. Machine Learning Toolbox
!

15. 3. Budget
2. Business decisions
1. Executive commitment
Why Who What
opportunities | risks
build & maintain

16. Data Readiness
skills
hiring
team leadership
build vs maintain
change management
reporting
training