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A Head Start in Getting Value from Machine Learning
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Determining value from machine learning may involve a lot of time and resources--and still not lead you to a business case. Why take on this risk alone? In this session we will show you how to get a head start using machine learning with the Intelligent Business Cloud (IBC) to improve your organization’s processes. An integral part of this is the IBC Machine Learning Workbench, which is invaluable in making it easy to start using machine learning algorithms on process data. On top of that, the Celonis App Store provides tried and tested machine learning apps that can give you accurate predictions at the click of a button. We will show you what you need to do to roll this out and start applying machine learning today! Presenter: Simon Riezebos, Machine Learning Engineer, Celonis
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A Head Start in Getting Value from Machine Learning
- 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!