Actionable Analytics

1510/2015

How Predikto hired thousands of data scientists

By |October 15th, 2015|Categories: Predictive Analytics, Technology & Engineering|Tags: , , , |

GE’s Jeff Immelt was recently interviewed on the Predictive Analytics investments and overall initiatives that have been ongoing over the last 5 years within his walls. The transcript, available here, is an excellent read on how a legacy company is attempting to transform itself for the digital future, leveraging vast amounts of sensor data to predict failure in large machinery. This marks a pivotal moment in GE’s history, where turning around a Titanic-size ship won’t […]

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 […]

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 […]

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 […]

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 […]

601/2015

Predikto raises $4M from TechOperators, ATA to predict machine failure

By |January 6th, 2015|Categories: Predikto News / Events|Tags: , , , |

By Urvaksh Karkaria
Staff Writer-Atlanta Business Chronicle

Atlanta software firm Predikto has raised nearly $4 million to help manufacturers predict product failures earlier.

Predikto’s software engine — dubbed Max — allows manufacturers, railroad companies and other asset-intensive industries to predict equipment failure and warranty claims.

By detecting failures before they happen, companies can increase productivity, reduce downtime and tweak the manufacturing process to increase production volume, CEO Mario Montag said.

Max — an artificial intelligence and machine learning software robot built […]

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. […]

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 […]