Predict. Prevent. Perform.

Predictive Analytics for the Internet of Things

2107/2017

You’re going to need a bigger boat!

By |July 21st, 2017|Categories: Internet Of Things (IoT), Predictive Analytics|Tags: , , |

With the recent 42nd anniversary of ‘Jaws’ the film, everyone always comes up with the tagline above ‘you’re going to need a bigger boat’ and that led me recently to consider where we have come from regarding engineering, calculations (to solve problems), data, data science and now to Big Data, the Internet of Things (IoT) and its Industrial counterpart and the role of the engineer and the data scientist.

Back in my day, not quite 42 […]

1307/2017

Digital Transformations : From Analysis Paralysis to Execution Mode

By |July 13th, 2017|Categories: Industries, Internet Of Things (IoT), Predictive Analytics, Predictive Maintenance|Tags: , , , |

I have never been more excited about the future of Predikto. We started 4 yrs ago with the Vision of “Moving Unplanned to Planned”. We wanted to help large industrials “To harness the power of predictive analytics to optimize operational performance”. We are enabling this with:

Our software platform including Predikto MAX which automates machine learning algorithm generation at a massive scale
Our unique approach to data preparation optimized for Machine Learning

So why am I so excited? […]

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 […]

2812/2016

The Missing Link in Why You’re Not Getting Value From Your Data Science

By |December 28th, 2016|Categories: Internet Of Things (IoT), Predictive Analytics, Predictive Maintenance, Technology & Engineering|Tags: , , , , , , |

The Missing Link in Why You’re Not Getting Value From Your Data Science

by Robert Morris, Ph.D.

DECEMBER 28, 2016

Recently, Kalyan Veeramachaneni of MIT published an insightful monologue in the Harvard Business Review entitled “Why You’re Not Getting Value from Your Data Science.” The author argued that businesses struggle to see value from machine learning/data science solutions because most machine learning experts tend not to build and design models around business value. Rather, machine learning models are built […]

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 […]

2107/2016

What did the Coffee Pot say to the Toaster?

By |July 21st, 2016|Categories: Internet Of Things (IoT), Technology & Engineering|

The Internet of Things (IoT) is at the precipice of the Gartner Hype cycle and there is no shortage of the “answers to everything” being promised. Many executives are just now beginning to find their feet after the storm wave that was the transition from on-premise to cloud solutions and are now being faced with an even faster paced paradigm shift. The transformative tidal wave that is IoT is crashing through CEO, CTO, and CIO’s […]