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About Mario Montag

Mario Montag is the Founder and CEO of Predikto, an Atlanta based software company specializing in deploying analytics solutions to predict failures in trains and planes. Mario plays a pivotal role in helping transformational customers deploy actionable IoT solutions. Mario was an Oracle ERP consulting executive for many years playing the role of a bridge between real world operational challenges and information technology solutions. Mario has worked for global organizations including PwC, IBM, McKinsey&Company, and Hitachi. Mario founded Predikto with the mission to enable asset intensive organizations to harness the power of their own data to improve operational performance. As a thought leader in Predictive Analytics and IoT, Mario has spoken at a wide variety of industry conferences. Mario has a Bachelor’s degree in Industrial and Systems Engineering from the University of Florida and a MBA from Georgia State University.
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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1806/2014

Predict. Prevent. Perform.

By |June 18th, 2014|Categories: Predictive Analytics, Predikto News / Events|

You can’t prevent what you can’t predict
K. M. Macaulay
Author of Black Anna

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1006/2014

Here comes the flood-analytics, Manufacturing Industries!

By |June 10th, 2014|Categories: Manufacturing, Predictive Analytics, Predictive Maintenance, Technology & Engineering|

Yes – we have heard about the magic of predictive analytics and how it has helped various companies and industries in predicting the rise and fall of companies’ finances, social media and marketing and such but could the same predictive analytics methods aid manufacturing industries today?

According to Bala Deshpande’s article, manufacturing industries are not entirely oblivious to the idea of collecting data. As a matter of fact, you could call them ‘The Forefathers of Data […]

506/2014

3 Golden Rules to Reduce Equipment Downtime

By |June 5th, 2014|Categories: Predictive Analytics|

The biggest losses incurred by manufacturing plants are often resulted from equipment downtime. A breakdown in any unit of the production chain can cause delays to batches of products which will roll over into more costs, excluding the loss of revenue. These are costs too high for even the largest manufacturing plants to bear.

To avoid the pains of equipment downtime, we should adopt the following golden rules:

Adopt a lean production line: Recommendations can be on redundancies […]

2205/2014

Is the future predictable?

By |May 22nd, 2014|Categories: Internet Of Things (IoT), Predictive Analytics, Predikto News / Events|Tags: , , |

The Idea that the future is unpredictable is undermined
every day by the ease with which the past is explained.”

Daniel Kahneman
Thinking, Fast and Slow 

 
 
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1905/2014

3 Steps to improve your Decision-Making process

By |May 19th, 2014|Categories: Predictive Analytics|Tags: , , |

The ability to make high quality decision is central to any organization. The expansion of the volume, variety, and velocity of information make this ability increasingly difficult. With the state of current data explosion, decision-makers have to respond more quickly and with greater precision than ever.

To improve your decision-making process you should be considering the following:

Do not focus exclusively on historical experience Traditionally, decisions have been made on the basis of anecdotal experience of domain experts. […]

805/2014

Your competition is using it. Are you?

By |May 8th, 2014|Categories: Predictive Analytics, Predikto News / Events|Tags: , , |

In a world with amazing amounts of statistics and demographics
available, If you don’t utilize foresight, statistics, demographics,
projections and predictions the competition will.”

Akutra-Ramses Atenosis Cea
Author of Spidersilk

 

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2904/2014

How to increase the profitability of your organization by 20%

By |April 29th, 2014|Categories: Predictive Analytics|Tags: , |

A recent report published by Gartner state that organizations that use predictive business performance metrics will increase their profitability by 20% by 2017. The report also shows that organizations should alert workers that a business moment is about to occur, and guide them on the next action to take in the context of a particular customer’s expectation.

“Using historical measures to gauge business and process performance is a thing of the past”, says Samantha Searle, analyst […]

1604/2014

Transit Asset Management System 49 U.S.C. 5326 as part of the MAP21

By |April 16th, 2014|Categories: Industries, Market Analysis, Predictive Analytics, Railroad|Tags: , , |

Transit provides more than 10 billion passenger trips each year, which represents more trips each month than all of the Nation’s airlines combined will make in a year. When transit assets are not in a state of good repair (SGR), the consequences often include increased safety risks, decreased reliability, higher maintenance costs, and an overall lower quality of service to customers.

The Moving Ahead for Progress in the 21st Century Act, MAP-21, states in its section […]