artificial intelligence, machine learning, deep learning market research thesis survey results. The survey was conducted on LinkedIn in April 2019 with a total of 140 qualified respondents. The survey sought to; - Evaluate the relevance of Machine Learning in operations today, - Asses the current state of Machine Learning adoption, - Identify tools used for Machine Learning.

1. How are large corporations
leveraging their data
digitally?
The survey was conducted on LinkedIn in April 2019 with a
total of 140 qualified respondents. The survey sought to;
1. Evaluate the relevance of Machine Learning in operations
today,
2. Asses the current state of Machine Learning adoption,
3. Identify tools used for Machine Learning.

2. Survey demographics
Organization size
1-10 employees
11-50 employees
51-200 employees
201-500 employees
201-500 employees
501-1000 employees
Country
Netherlands USA
United Kingdom Turkey
Germany Israel
Position
Operational Management
Strategy

3. Machine Learning maturity
0
5
10
15
20
25
30
35
40
Experimenting
(Building proof of
concepts)
Exploring (Curious
about Machine
Learning)
Planning (Creating an
Machine Learning / AI
strategy)
Productizing (Using in
production)
Scaling up (several
departments are using)
Transforming
(Machine Learning / AI
driven business)
Respondents

4. Relevance of Machine Learning in operations
today.

10. The current state of Machine Learning
adoption

16. Tools used for Machine Learning

23. Conclusion:
When do you plan to save time and money?

24. Conclusion 1 = Predictive Analytics
Customer
experience
Sales
Support
Marketing
Product

25. Conclusion 2 = RPA