1. Artificial Intelligence
Workforce Impact

2. Todays Objectives Introduction to Artificial Intelligence
What it potentially will mean to you
A practical demonstration
Q&A

3. Background
Carl Wocke
Merlynn

4. Quick Survey

5. Understanding Artificial Intelligence
People currently control the planet, not because we’re the strongest, fastest or biggest, but because we’re the smartest. If we’re no longer the smartest, are we assured to remain in control?
Because AI has the potential to become more intelligent than any human, we have no way of predicting how it will behave?

6. Stephen Hawking, Bill Gates, Elon Musk
Artificial Intelligence, disguised as helpful digital assistants and self-driving vehicles, is gaining a foothold, and it could one day spell the end for mankind.
Once machines reach a critical stage of being able to evolve themselves we cannot predict whether their goals will be the same as ours.
The world-renowned professor has warned robots could evolve faster than humans and their goals will be unpredictable.

7. Stuxnet Recognised as worlds first digital weapon.
Dropped into Iranian “proximity” in 2009.
Decimated Natanz uranium enrichment facility by destroying centrifuges
And then it escaped….

8. Current Artificial Intelligence Approach
We use AI algorithms to process big data.
AI is currently positioned to learn from your data and not from you.
Data as the only source of knowledge?
What about the knowledge in experience?
The typical bottleneck in the organization…

9. A Healthy Attitude to Artificial Intelligence
We believe our world suffers from an “access” problem rather than just a “new knowledge” problem. By “access” we mean access to the key resource of the human expert. The value challenge is as follows: “Could we make the world a better place by using technology to create unlimited access to our experts?”  We are now at the stage where we can achieve this. We’re talking about "digitizing” or “robotizing” our human experts.

10. Capturing Human Expertise in AI
Expertise has an inherent bias that is not readily found in data.
Expertise and the subconscious.
If expertise were definable then it would no longer be expertise and the expert would no longer be an expert
The cardiologist…..

11. Imagine….
Building technology that allows us to clone human expertise and then to make this expertise available with unlimited scalability.
Our top human experts available anywhere anytime.

12. Examples of Human Driven AI
Finance
Medical
Law Enforcement
Utilities
Insurance
Marketing

13. TOM – A Practical Demonstration

14. Positioning AI for the Future
AI to learn from you, to mimic you, the way you treat customers, the way you make decisions.
AI to allow you to do more, influence more.
AI as a risk mitigation technology.