AI och maskininlärning - Findability Day Roadshow 2017

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The document discusses how organizations can progress from simply sorting through data to extracting knowledge and insights from data to transforming their business and ultimately automating processes through a data-driven hierarchy of needs. It advocates starting with search and analytics platforms like Elastic Search and Kibana to provide insights and then climbing a pyramid where the priorities are strategy and business goals, democratizing insights across the organization, leveraging data science and experimentation, and achieving automation through empowering users. The key to success is thinking big but starting small by addressing the most important business priorities.

Technology

AI, Machine Learning
& Enterprise Search
Fredrik Moeschlin

Fredrik Moeschlin
• Physics – Complex Adaptive Systems
• Advisor and mgmt consultant
• Loves data-driven organisations
• Leads Data Science at Findwise

1. Sort out the mess
2. Extract knowledge
3. Transform business
4. Automate
THE DATA DRIVEN
HIERARCHY OF NEEDS

INSIGHT
ENGINE
text numbers
machine data

#5
BUSINESS
USERS
TECHNOLOGY
INFORMATION
ORGANISATION Change and governance
Quality and structure
Platform and performance
Behaviour and needs
Needs and goals

CLIMBING THE PYRAMID
What are the keys to success?

#1 Strategy and
Business Priorities
#2 Democratization
of Insights
#3 Data Science and
Experimentation
#4 Automation through
Empowerment

1. Sort out the mess
2. Extract insights
3. Transform business
4. Automate
THE DATA DRIVEN
HIERARCHY OF NEEDS

fredrik.moeschlin@findwise.com
© Findwise 2017-10-13

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AI och maskininlärning - Findability Day Roadshow 2017

1. AI, Machine Learning & Enterprise Search Fredrik Moeschlin

2. Fredrik Moeschlin • Physics – Complex Adaptive Systems • Advisor and mgmt consultant • Loves data-driven organisations • Leads Data Science at Findwise

3. 1. Sort out the mess 2. Extract knowledge 3. Transform business 4. Automate THE DATA DRIVEN HIERARCHY OF NEEDS

4. #5 1. SORT OUT THE MESS

5. 2. EXTRACT KNOWLEDGE

6. 3. TRANSFORM BUSINESS

7. 4. AUTOMATE

9. EVOLUTION OF AI

10. ”a screenshot of a computer”

11. BUILDING ANALYTICS ON AN INSIGHTENGINE

12. INSIGHT ENGINE text numbers machine data

13. SEARCH, FIND, INSIGHTS

14. SEARCH, FIND, INSIGHTS

15. + Elastic Search Kibana

16. CLIMBING THE PYRAMID

17.

18. #5 BUSINESS USERS TECHNOLOGY INFORMATION ORGANISATION Change and governance Quality and structure Platform and performance Behaviour and needs Needs and goals

19. CLIMBING THE PYRAMID What are the keys to success?

20. MOVING BEYOND INSIGHTS

21. THINK BIG START SMALL

22. BUSINESS PRIORITIES

23. DEMOCRATIZATION OF INSIGHTS

24. offerings DATA SCIENCE

25.

26. EMPOWERMENT

27. #1 Strategy and Business Priorities #2 Democratization of Insights #3 Data Science and Experimentation #4 Automation through Empowerment

28. 1. Sort out the mess 2. Extract insights 3. Transform business 4. Automate THE DATA DRIVEN HIERARCHY OF NEEDS