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Condence.io ideal fit with Flowplus philosophy

News
Flowplus Oy specializes in the maintenance and operation of flow technology. The customer base consists mainly of operators in the industrial, energy and infrastructure sectors. The offering includes versatile service & maintenance services for valves, pumps, electric motors and other rotating machines. Flowplus, operating out of nine locations throughout Finland,…

New Condence feature released: Rapid min, max & average monitoring

News
Condence team is continually working on making updates and improvements to the sampling and visualisations of the asset health. Condence monitoring technology is built on taking samples of the assets health parameters and doing analysis and visualisations of it, continuously. Example of how minimum, maximum and average values are visualized…

Condence partner network expanding to Poland via Axoma

News
Poland being one traditional region in European manufacturing, is also modern when it comes to thinking about reliability. Therefore, we are happy to introduce a new Partner in Condence network focusing on advanced solutions in this region. Axoma sp. z o.o., being a modern forerunner in industrial applications is an…

Now Hiring – Technical Sales Manager

News, Uncategorized
Distence Oy is looking to hire a sales manager with technical skills and understanding to join our team to promote the Condence.io-product. Do you want a position in the frontline of industrial internet and industrial maintenance technologies? Are you passionate about sales? Keep reading and apply to be our next…

May Newsletter – Actionable Quality Data

News, Newsletter
The May Newsletter is out, here’s what we cover in this issue: The digital journey begins with quality data, Janne-Pekka Karttunen, CEO Applications: Analysts – We deliver long and longer samples by Panu Kinnari, COO Partners: Condence fits perfectly in with FLOWPLUS philosophy Case: Veolia – A new Condence installation…

The digital journey begins with quality data

Blog
by Janne-Pekka Karttunen CEO, Distence While defining the right problem for the traditional study it is vital for Machine learning to have quality data to build on. I have recently heard several times the phrase “your AI is as good as your data”. In predictive maintenance, data often originates from…
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