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A head start in getting value from machine learning
Simon Riezebos
Machine Learning Engineer
Celonis App Store
The biggest barriers companies face in extracting value from data
and analytics are organizational; many struggle to incorporate data-
driven insights into day-to-day business processes.
McKinsey, 2016
85% of big data projects fail.
Gartner, 2017
Big data projects can be made great again.
Celonis ML team, 2019
Challenges in ML projects
● Business and technical stakeholders are hard to mix
● Data is scattered throughout IT landscape
● Setting up a new server is a lot of (admin) work
● Experienced data scientists are hard to find
● A good model doesn’t mean business improves
A machine learning project in the
Celonis Intelligent Business Cloud
LIVE DEMO
Getting on the same page
Top level management
Business process management &
analytics
Operational team
Data science team
The right data in the right place
Instant development environments
End to end solutions
Incorporate insights into processes
A head start in getting value from machine learning
Thank you!

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A Head Start in Getting Value from Machine Learning

  • 1. A head start in getting value from machine learning Simon Riezebos Machine Learning Engineer Celonis App Store
  • 2. The biggest barriers companies face in extracting value from data and analytics are organizational; many struggle to incorporate data- driven insights into day-to-day business processes. McKinsey, 2016 85% of big data projects fail. Gartner, 2017 Big data projects can be made great again. Celonis ML team, 2019
  • 3. Challenges in ML projects ● Business and technical stakeholders are hard to mix ● Data is scattered throughout IT landscape ● Setting up a new server is a lot of (admin) work ● Experienced data scientists are hard to find ● A good model doesn’t mean business improves
  • 4. A machine learning project in the Celonis Intelligent Business Cloud LIVE DEMO
  • 5. Getting on the same page Top level management Business process management & analytics Operational team Data science team
  • 6. The right data in the right place
  • 8. End to end solutions
  • 10. A head start in getting value from machine learning