Predictive Analytics

804/2015

Deploying Predictive Analytics and Scalability: Part 1 – Patience is required, but can you afford it?

By |April 8th, 2015|Categories: Predictive Analytics|

Having been involved in applied data science for over a decade, one of the most substantive shortcomings of analytics that I’ve seen, in terms of a viable business product, is scalability. Data management, feature engineering, and multivariate statistics/machine learning are conceptually challenging topics and take time to master. Even for a seasoned data scientist (or team, or whatever you call it…) that can tackle the full-stack solution from data collection to predictive output/validation (i.e., end-to-end), […]

2303/2015

Industrial IoT is more about the plunge than the scope

By |March 23rd, 2015|Categories: Internet Of Things (IoT), Predictive Analytics|

Things at Predikto are going well. We have been growing our team, primarily sales, after closing our Series A round 3 months ago. I was asked to run a webinar with a partner company, eMaint, in March. eMaint has a large following to their monthly webinars primarily consisting of Operations and Maintenance folks from asset intensive industries. The topic was the Industrial IoT.

In putting together the content for the webinar, I realized that many of […]

1703/2015

[Webinar] Industrial Internet of Things (IoT): Enabling the “Connected Plant”

By |March 17th, 2015|Categories: Predictive Analytics|

Predikto and eMaint presents the Monthly Best Practices Webinar titled ‘Industrial Internet of Things (IoT): Enabling the ‘Connected Plant'”

The Industrial Internet of Things (IoT) is a fast-growing network of increasingly-intelligent connected devices, machines and physical objects. However, considerable time and money goes into sensors, connectivity, microcontrollers and microprocessors, and the volume of data generated is oftentimes vast and unintuitive.

Using Predictive Analytics (PdA), organizations are able to combine and analyze the data to transform it into […]

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 […]

1401/2015

Internet of Things: The third wave of the Internet?

By |January 14th, 2015|Categories: Predictive Analytics|Tags: , , |

The Internet of Things (IoT) is emerging as the third wave in the development of the Internet. In the 1990’s 1 billion users were connected to the internet, by the 2000’s the release of Internet 2.0 and the popularity of internet capable smart phones that number grew to 3 billion, and now it is expected by 2020 the IoT will connect 28 billion devices to the internet.

According to a report published by Goldman Sachs, “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 […]

1108/2014

Forget the Big Data technology chat and ask “How will I use this?”

By |August 11th, 2014|Categories: Predictive Analytics, Technology & Engineering|

The Industrial Internet of Things is going to revolutionize the way enterprises interact with their assets and equipment. Bill Ruh, VP of Global Software Center at GE, says GE expects there will be 17 Billion unique pieces of equipment by 2015 and only 10% of the devices are equipped with sensors today. Most of the equipment with sensors lacks the basic intelligence they hope to have in the future which is to tell them when […]

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 […]

1007/2014

Why Is Analytics Important To Businesses Today?

By |July 10th, 2014|Categories: Predictive Analytics|

We have been hearing a lot about predictive analytics and how it helps to anticipate future issues that a company might potentially face and also save them a lot of money. But how does predictive analytics spot these issues? And how is it valuable to businesses?

According to IBM’s Predictive Maintenance Quality (PMQ) Red Book, predictive analytics focuses on preventing potential failures and extending the component lifecycle. This is usually carried out by checking if […]

107/2014

Who is going to win?

By |July 1st, 2014|Categories: Predictive Analytics, Predikto News / Events|

We are in a historic moment of horse-versus-locomotive competition, where intuitive and experiential expertise is losing out time and time again to number crunching.
Ian Ayres
Author of “Super Crunchers”

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