Industries

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? […]

2004/2016

What about unplanned?

By |April 20th, 2016|Categories: Industries, Internet Of Things (IoT), Predictive Analytics, Predictive Maintenance, Uncategorized|

Everybody’s looking at process inefficiencies to improve maintenance but there’s lower hanging – and bigger – fruit to focus on first: unplanned events!
Maintenance has pretty simple goals; guarantee and increase equipment uptime and do so at the lowest possible cost. Let’s take a quick look at how unplanned events influence these three conditions.
Guarantee uptime
When production went through the evolutions of JIT (Just In Time), Lean,… and other optimisation schemes, schedules got ever tighter and deviations […]

1310/2015

ARC Guest Blog: Counting toilet flushes help improve bullet train reliability

By |October 13th, 2015|Categories: Internet Of Things (IoT), Railroad|Tags: , , |

Greg Adams was a recent guest blogger on the ARC Advisory Group’s IIoT newsletter. We see a lot of data and it is interesting how mundane and often overlooked data can contain meaning. Read how counting toilet flushes is helping to increase the uptime and reliability of bullet trains.  http://industrial-iot.com/2015/10/how-wc-flushes-relate-to-locomotive-reliability/

 

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1310/2015

Metro Atlanta CEO writes a piece about Predictive Analytics

By |October 13th, 2015|Categories: Industries, Predikto News / Events, Railroad|Tags: , |

Metro Atlanta CEO has an article in their October newsletter covering Predictive Analytics and some of the interesting use cases Predikto has in Transportation.

Predikto, a leader in Predictive Analytics solutions Transportation, has begun to deploy their machine learning / artificial intelligence software to help improve equipment reliability at global companies.

Click on the article to read about actual use cases and gain an understanding of this disruptive technology.

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1707/2015

Predikto, Inc. Partners With New York Air Brake to Incorporate Predictive Analytics In NYAB’s LEADER Advanced Train Control Technology Solutions

By |July 17th, 2015|Categories: Internet Of Things (IoT), Manufacturing, Predictive Analytics, Predictive Maintenance, Railroad|Tags: |

ATLANTA, July 14, 2015 /PRNewswire/ — Predikto, Inc. today announced a new collaborative effort where New York Air Brake will incorporate Predikto’s auto-dynamic predictive analytics platform, MAX, into the company’s LEADER advanced train control technology solutions via its internet of things (IoT) initiative.

New York Air Brake, a subsidiary of the Knorr-Bremse Group (Munich, Germany), an innovation leader and supplier in the rail industry since 1890, will integrate a new predictive analytics component to its Advanced Train Control Technology solution, […]

1507/2015

Predikto: Making Waves in IoT!

By |July 15th, 2015|Categories: Internet Of Things (IoT), Predictive Analytics, Predikto News / Events, Railroad|Tags: , , |

The Internet of Things is generally defined as “Smart” + “Connected” + “Edge Devices” (Planes, Trains, Automobiles, Industrial & Farming Equipment, Medical Equipment, and Consumer Electronics)

Predikto focuses on putting the “smart” into managing smart connected devices, equipment and complex capital assets in order to forecast asset behavior/performance.

Industrial asset OEMs, operators and maintenance organizations are challenged by equipment performance degradation and failure as they impact uptime and efficiency. While reliability and condition-based solutions have been around […]

807/2015

A Software Industry Veteran’s Take on Predictive Analytics

By |July 8th, 2015|Categories: Industries, Internet Of Things (IoT), Predictive Analytics, Railroad|Tags: , , , , , |

I’m about 4 months into the job here at Predikto as VP, Sales.  The predictive analytics market is an exciting new market with predictably (pun intended) its share of hype.  Nevertheless, this is key niche of the Industrial Internet of Things sector. I’d like to share some observations on what I’ve learned thus far.

We focus on asset-intensive industries, helping organizations leverage the terabytes of data they have accumulated to anticipate the likelihood of an adverse […]

2406/2015

Deploying Predictive Analytics (PdA) as an Operational Improvement Solution: A few things to consider

By |June 24th, 2015|Categories: Industries, Internet Of Things (IoT), Predictive Analytics, Predictive Maintenance, Uncategorized|Tags: , , , , |

“…in data science…many decisions must be made and there’s a lot of room to be wrong…”

There are a good number of software companies out there who claim to have developed tools that can potentially deploy a PdA solution to enhance operational performance. Some of these packages appear to be okay, some claim that they are really good, and others seem really ambiguous other than being a tool that a data scientist might use to slice and dice data. What’s missing from […]

303/2015

Maintenance Triage – Uptime Magazine

By |March 3rd, 2015|Categories: Manufacturing, Predictive Analytics|

Predikto has been featured in the article “Maintenance Triage: Identifying Sick and Injured Assets to Improve Population Health” in the Uptime Magazine February 2015 issue. The author of the article, Will McGinnis, is a Mechanical Engineer from Auburn University working at Predikto as a Senior Software Architect. At Predikto, he uses advanced machine learning techniques to leverage pre-existing data in asset intensive industries to predict failures, identify bad actors, and impact bottom lines.

The mission of […]

3107/2014

Using Predictive Analytics in Maintenance

By |July 31st, 2014|Categories: Manufacturing, Predictive Analytics, Predictive Maintenance|Tags: , , |

Predictive Maintenance is the best type of maintenance a company can undertake, but not all assets classes and applications justify Predictive Maintenance. That is why the best type of maintenance is the type that works for each client. The latest technology in Predictive Maintenance is the use of Predictive Analytics. In some cases Predictive Analytics is reaching accuracies above 95% to predict an asset failure. These results are much higher when compared to traditional predictive […]