Jonnathan Koch, Managing Director, Genie Cloud Tech speaks about Artificial intelligence & the Future of Recruitment With processing power doubling every 12 months and computing moving into the cloud, the inevitable consequence will be increased accessibility and uptake of artificial intelligence by business and individuals. We will do a demonstration of an existing recruitment system that behaves in an intelligent manner giving you a clear idea of what recruitment in your organisation will look like in the future or could look like tomorrow.

1. Artificial intelligence & the Future of Recruitment
Session Code: HRSA02

2. A.I. 101
Welcome to your first crash course in Artificial
Intelligence (A.I.)!
Are you ready for the future?

3. “Technology is finally catching up to science fiction
— but business leaders who wait until humanoid
robots are walking around to begin implementing AI
in their business will have missed the boat and let
their competitors eat their lunch. With so many new
developments in AI, the conscientious business
leader should be thinking about how AI will impact
their business today.” Brennan White

4. “In Hong Kong and Mountain View, there is a much
more important message: AI is already here. It’s
arriving almost invisibly. It’s happening in many, if
not most, industries. From the drones that you fly to
the cars that will soon be driving you, companies are
putting software to work doing what software does
best: intelligently automating large data sets to
make timely decisions more accurately and reliably
than we ever could. “Brennan White

5. Who am I / we?
Where have we come from?
What revolutionised recruitment 25 years
ago?

7. To understand Artificial Intelligence, we
first need to understand how we learn.
New Born Baby
“0”

8. To understand Artificial Intelligence, we
first need to understand how we learn.

9. To understand Artificial Intelligence, we
first need to understand how we learn.
Baby
Positive or
negative
reinforcement
Deduction, the
establishment
of patterns

10. To understand Artificial Intelligence, we
first need to understand how we learn.
The Lemon Test

11. The informative years (11 to 19 years old)
1.
Analytical
calculations
2.
Layered Learning
e.g. Biology,
History etc.

12. Fist form of available AI (no reasoning)
1.
Analytical
calculations
e.g. Math
2.
Layered Learning
History

13. To understand Artificial Intelligence, we
first need to understand how we learn.
2.
Layered Learning
e.g. Biology,
History etc.
The ability to take one
concept layered on top
of another to formulate
unique perspectives and
develop experience.

14. A typical neural network configuration in
the brain.

15. So, what does the AI brain look like?.
AIHuman

16. So, what does the AI brain look like?.
AIHuman

20. Artificial intelligence & the Future of Recruitment
Session Code: HRSA02