Predictive Analytics

2109/2015

Predikto among the 5 Atlanta Startups to Watch in 2015

By |September 21st, 2015|Categories: Predictive Analytics|

Predikto, after the well-received presentation at Venture Atlanta 2014, is proud to announce that have been included as one of the 5 Atlanta Startups to Watch in 2015.
The rest of the list is formed by SalesLoft, SafelyStay, GroundFloor, and Pointivo.

You can read the full story here.

Congrats to all finalists.

About Venture Atlanta
Venture Atlanta, Georgia’s technology innovation event, is where the state’s best technology innovators meet the country’s top-tier investors. As the region’s largest investor showcase, […]

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, […]

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 […]

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 […]

1004/2015

Using the Spark Datasource API to access a Database

By |April 10th, 2015|Categories: Predictive Analytics, Technology & Engineering|Tags: , , , , |

At Predikto, we’re big fans of in-memory distributed processing for large datasets. Much of our processing occurs inside of Spark (speed + scale), and now with the recently released Datasource API with JDBC connectivity, integrating with any datasource got a lot easier. The Spark documentation covers the basics of the API and Dataframes. There is a lack of information on actually getting this feature to work on the internet, however.
TL;DR; Scroll to the bottom for the complete Gist.
In this […]