The webinar addresses the vital steps and key success factors to execute a digitalization project and optimize asset performance based on data science. Learn from 2 years of experience in executing these projects at Bilfinger Digital Next.

“How can I use data to further optimize my plant performance?” “Where to start?” These two questions are on the desks of Plant managers, Operations managers, Engineering managers and Maintenance managers in the process industry. Data is available and different stakeholders around them are pushing to do “something” with big data, digitalization, data science or digital transformation, the big buzzwords of the last years. This resulted in a variety of projects from small experiments to large investment projects connecting IIoT devices and data lakes to do “something” with data. Results heavily varied from successful pilots to expensive learnings.

In this webinar:

About the key factors of a successful digitalization pilot and what pitfalls to avoid
How to identify the most effective projects for digitalization
What you can expect from data science for asset improvement
Who should be involved in a data science project
How to successfully manage a data science project

In this webinar we demonstrate our learning from the last 2 years running dozens of these projects and share our approach that leads to successful project or pilot. This enables you to do you project or pilot first time right.

Your host:
Dr. Taede Weidenaar, Senior Consultant Digital Transformation
at Bilfinger Digital Next

Registration

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The provider of this webinar

Bilfinger Digital Next GmbH

Successful Digital Transformation in the Process Industry

Key Factors to Optimize Asset Performance in your Plant

Successful Digital Transformation in the Process Industry

Key Factors to Optimize Asset Performance in your Plant

Registration

Consent to the use of data for promotional purposes

The provider of this webinar