PREDICTIVE MAINTENANCE AS A SERVICE

CHALLENGES AND HOW TO OVERCOME THEM

November 8th 2018, 18:00

Lido Bistro | Dusseldorf

International enterprises have been promoting their digital services based on machine sensor data like predictive maintenance for a few years now but large German companies and the Mittelstand are also increasingly engaging and experimenting with these new technologies and analytics. Why? Because there can be huge cost savings from scheduled or even no maintenance.

But the journey towards predictive maintenance can be challenging. For many companies this may go far beyond their traditional expertise as it involves highly-complex, software-intense solutions and new skill sets like data science.

Companies therefore need a step by step guide to the technological, organizational and business requirements they need to take.

KEY TAKEAWAYS

How you can use data planning tools to recognize the core project elements needed for predictive maintenance and to think through these data project resource requirements and their relationships
How agile practices help you take advantage of fast iterations, feedback and learning
How you can manage the complexity of these software-intense models to make sense of data in complex processes
How to get access to key skills on a as-needed basis
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Add to My Calendar 2018-11-08 18:00:00 2018-11-08 22:00:00 Europe/London Ness Dusseldorf Dusseldorf Ness

WHERE & WHEN

Lido Bistro

Address: Speditionstraße 15A, 40221 Düsseldorf, Germany

Thursday, 8th November 2018 | 18:00 – 22:00

EVENT HOST

Ness Digital Engineering provides digital transformation and custom software product engineering services to help organisations envision, build, and continually evolve their digital platforms to enter new markets, capture new revenue and gain efficiencies. We’re already helping clients deliver IOTbased platforms, and can share our insights from this work.

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