Predictive Maintenance

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? […]

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 […]

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 […]

209/2015

5 Reasons Why You Suck at Predictive Analytics

By |September 2nd, 2015|Categories: Predictive Analytics, Predictive Maintenance|Tags: , , |

We see it every day… Customer X embarked on a grand in-house initiative to implement Big Data analytics. $X million and Y years later, they can predict nothing, aside from the fact that their consultants seem to get fatter with every passing month, and the engineering guys keep asking for more time and bigger budgets. It’s understandable… These days, cutting through all the noise related to big data analytics can be difficult. The bloggers, analysts, and consultants certainly make it […]

1308/2015

Should you buy a tool or a solution?

By |August 13th, 2015|Categories: Predictive Analytics, Predictive Maintenance|

There is an old saying “keep your hand on the plow”. It was quite interesting to read about how this phrase came to be, and how it applies to business today.

Most of us pay little attention to tractors in a field as we drive past.  Yet it was not long ago that this task was done with a horse and plow.  Now I know you are thinking, what the heck does that have to do with […]

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, […]

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 […]

2304/2015

The Scalability of Data Science: Part 3 – Reality Check  

By |April 23rd, 2015|Categories: Predictive Analytics, Predictive Maintenance, Uncategorized|Tags: , |

You’re an operations manager, or even a CEO. Let’s say you have a big predictive analytics initiative and need to deploy several instances of your solution. What are your options? Ok, go ahead and hire a team of 5 data scientists, each with a relatively modest salary of $100k (US) per year (this is very conservative estimate). Now step back… You’ve just spent half a million dollars on staffing (plus the time for hiring, software procurement, etc.) […]

1404/2015

The Scalability of Data Science: Part 2 – The Reality of Deployment

By |April 14th, 2015|Categories: Predictive Analytics, Predictive Maintenance, Uncategorized|Tags: , |

To put my previous post into perspective, let me give you a for instance… An organization wants to develop a deployed predictive analytics solution for an entire class of commuter trains. Let’s be modest and go with 10 different instances from within the data (e.g.,  1) predicting engine failure, 2) turbo charger pressure loss, 3) door malfunction, … and so on…). We’ll focus on just one…

Data from dozens of assets (i.e., trains) are streaming in by the […]

409/2014

3 ways to improve performance using predictive maintenance

By |September 4th, 2014|Categories: Predictive Analytics, Predictive Maintenance|

With the rapid acceleration of information technology advancement and proliferation into business, success depends on how businesses leverage their access to information and data while processing and analyzing them for clearer insights.

A recent study revealed “failure of critical assets” to be the biggest problem faced in operations. This is attributed not only by the lack of insight but possibly the absence of “predictability” in the health and performance of assets. This reduces asset productivity and […]