Science is a way of thinking more than a body of knowledge. It involves asking why, how, and what questions. Artificial intelligence has advanced due to cloud computing, big data, and open source approaches which have enabled data-driven decision making and rapid learning from experiences. There are still issues around creativity, ethics, and replacing human experience with technologies.

2. SCIENCE IS A WAY OF THINKING
MUCH MORE THAN IT IS A BODY OF KNOWLEDGE
CARL SAGAN

3. WHY?

4. HOW?

5. WHAT?

6. Cloud
Intelligenc
e
Big Data
2015
2012
2008
WHY NOW?

7. OPEN SOURCE

9. So what are the issues?
V

10. Artificial Intelligence Us
Repetitive tasks
Number crunching
Pattern recognition
V
Experience
Creativity
Ethics

11. http://blogs.microsoft.com/blog/2016/03/25/learning-tays-
introduction/#sm.000jgdndy1b4adobycu1ciuqrh60x

12. Microsoft XiaoIce Chinese weather bot
pronounced Shao-ice

13. LESSONS LEARNED
 Change Management is Crucial:
- From „Gut Feeling“ to „Data Driven“ Decision Making
- Redefine Success and Failure: Replace Painful Learning by Rapid
Learning
- Decision Making based on probabilities
- Near Real Time Decision Making
- Multiple Speed of Technologies
- Data Science Skills: build, hire, source, partner
- Data Security and Privacy is everybody‘s job
„Culture Eats Strategy for Breakfast“ (Peter Drucker)

14. FOLLOW ME
andrew.fryer@microsoft.com
www.andrewfryer.com
@deepfat
uk.linkedin.com/in/deepfat