Ness Frankfurt

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

EVENT WILL START IN

00
days
00
hours
00
minutes
00
seconds

Add to My Calendar 2018-11-21 18:00:00 2018-11-21 22:00:00 Europe/London Ness Frankfurt roomers Ness

WHERE & WHEN

Roomers Frankfurt

Address: Gutleutstraße 85, 60329 Frankfurt am Main, Germany

Thursday, 29th 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.

PREDICTIVE MAINTENANCE AS A SERVICE

CHALLENGES AND HOW TO OVERCOME THEM

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

EVENT WILL START IN

WHERE & WHEN

THE VENUE

EVENT HOST

REGISTER NOW FOR THIS

EXECUTIVE DINNER

To register for this upcoming event please fill out the Attendee Registration Form below. We will be in contact with you very shortly to confirm your registration and to provide you with more information.

To register for this upcoming event please fill out the Attendee Registration Form below. We will be in contact with you very shortly to confirm your registration and to provide you with more information.