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2606/2017

Predikto is featured in ARC Advanced Analytics and Machine Learning Guide

By |June 26th, 2017|Categories: Uncategorized|

Predikto has been featured in the latest “Advanced Analytics and Machine Learning Planning Guide” by ARC.  Predikto is a powerful and innovative technology that helps asset-intensive industrial customers to deploy advanced analytics and machine learning algorithms to predict failures in their equipment.

Founded in 1986, ARC Advisory Group is the leading technology research and advisory firm for industry, infrastructure, and cities. ARC stands apart due to our in-depth coverage of both information technologies (IT) and operational technologies (OT) […]

905/2017

Predikto Named by Gartner as a Cool Vendor in IoT Analytics

By |May 9th, 2017|Categories: Uncategorized|

Predikto has been included in the “Cool Vendors in IoT Analytics, 2017” report by Gartner, Inc.

It is an honor to be included in the Gartner Cool Vendor report. This recognition is validation on our ability to bring machine learning algorithm development software at a massive scale to help improve equipment uptime. By automating close to 80% of the process of creating machine learning algorithms, we are able to empower our customers to complement existing condition […]

603/2017

Predikto closes $4 Million investment – adds Jim Gagnard to BOD

By |March 6th, 2017|Categories: Uncategorized|

Last month we announced a $4m VC led round to help us expand.  This latest round was led by Fidelis Capital and our prior investors, TechOperators, also participated in the round.  We also added Jim Gagnard, ex-CEO of Smart Signal (acquired by GE) into our BOD as our latest independent board member.  Investors in this last round also included a strategic with deep expertise in Aerospace and Defense globally.

Looking back at our 4-year history, I […]

3009/2016

Predictive maintenance is not for me…

By |September 30th, 2016|Categories: Uncategorized|

 
… because that’s not how it’s done in our market
Well, what shall I say? Prepare for the tsunami! While it’s true that switching (fully or partially) to predictive maintenance requires a transformation of how business is done, one thing is for sure: in every (!) market, there’s bound to be a player who moves first. And predictive maintenance has such disruptive potential that the first-mover advantage may be much larger than many executives suspect. The […]

1409/2016

Dreaded NFF

By |September 14th, 2016|Categories: Uncategorized|

NFF (No Fault Found) is an often-used KPI to which may get a whole new meaning with the introduction of predictive maintenance. Let’s go back to the origin of this KPI. Some two decades ago it gained in attention as companies increasingly focused on customer satisfaction, people found out that many so-called ‘bad parts’ that were injected in the reverse supply chain tested perfectly and were therefore flagged NFF. There has been an ongoing struggle […]

1108/2016

Today’s focus area for operations: increase uptime!

By |August 11th, 2016|Categories: Uncategorized|

As other domains such as procurement, supply chain, production planning, etc. get increasingly lean, attention focuses on the few remaining areas where large gains are expected from increasing efficiency. Fleet uptime or machine park uptime is thé focus area today. Indeed, investors increasingly look at asset utilisation to determine whether an operation is run efficiently or not. As we know, in the past many mistakes have been made by focusing on acquisition cost at the […]

1807/2016

A predictive maintenance example

By |July 18th, 2016|Categories: Uncategorized|

A prediction doesn’t mean that something will happen! A prediction merely says something may happen. Obviously, the more accurate that prediction gets, the closer it comes to determining something will happen. Yet, we often misinterpret accuracy or confidence in a prediction; when something has 20% chance of failing or 90% chance of failing, we often mistake the result of the failure for the chance of failing. In both cases, when the failure occurs, the result […]

2906/2016

The next efficiency frontier?

By |June 29th, 2016|Categories: Uncategorized|

Mountains of consulting dollars have been invested in business process optimisation, manufacturing process optimisation, supply chain optimisation, etc. Now’s the time to bring everything together and with all these processes optimised, our whole production apparatus utilisation rate becomes ever higher. When all goes well, this means more gets done per invested dollar, making CFO and investors happy through better ROA (Return On Assets). However efficient, this increasing load on the machine park comes at a […]

106/2016

Predictive Maintenance – a framework for executives

By |June 1st, 2016|Categories: Uncategorized|

We typically expect statements like “there’s a 20% chance of part A failing over the coming two weeks” from a predictive analytics solution. More important than the prediction though, is the interpretation of that statement and what it means to operations, maintenance, etc.
Predictions are at the core of predictive maintenance applications. Understanding and by extension, applying predictions is not a given. The four-axis framework laid out in this blog should allow any executive to not […]

2305/2016

One prediction, many users

By |May 23rd, 2016|Categories: Uncategorized|

“Houston, we have a problem” must have carried a different meaning depending on whether you were an astronaut on board Apollo XIII, the astronaut’s family, in mission control or a rocket engineer on the Saturn project. While the example seems obvious, many people have a vague idea on where to apply predictive maintenance in their business. When we ask about whose jobs will be impacted we very often don’t get beyond “the maintenance engineer”. And […]