Machine Learning Archives - Capture Club

Use Case: AI Assists in Orchestrating Supply Chain Management

Orchestrating supply chain management via ML/PA is something Capture Club understands quite well.  In 2001, we were involved with a bleeding-edge effort to automate Trading Partner and Trading Agreement negotiations.  We utilized both Machine Learning and Predictive Analytics to create a system wherein you could define the parameters of your company and it’s trading partner/agreement […]

kmcowan 10 September, 2018 0

Use Case: AI Mitigates Railroad Intermodal Shutdown Effects

A colleague of mine in the railroad industry recently shared this article with me.  As I was reading through, I came across this paragraph: “As a result of CSXT interline intermodal service changes, Union Pacific is no longer able to offer a number of interline intermodal services to the eastern U.S. Due to the complexity […]

kmcowan 9 September, 2018 0

Why is Everyone Ga-Ga for Amazon’s Recommendations Engine?

  I talk to people about Machine Learning and Predictive Analytics everyday. During the course of that conversation, the topic of Amazon’s Amazing Recommendations generally comes up as an example of the Gold Standard of recommendation engines. But you know what? I really don’t think so. As I was browsing around Amazon the other day, […]

kmcowan 28 August, 2018 0

IBM Global Services: A Case Study in Predictive Analytics

Use Case: A Global parts and services company has branches with teams all over the world.  Providing efficient servicing for these teams requires the coordination of Service Level Agreement (SLA) constraints, part availability from hundreds of downstream, supply chain vendors, and the available staff, taking into consideration union and federal regulations. It desires a system that […]

kmcowan 1 August, 2018 0

Case Study: Sphere and the Case of Contextually Related Content.

We began working with related content provider Sphere over a decade ago.  Sphere was the nexus between thousands of “long-tail” bloggers (E.g. private individuals) and high-volume news sites like CNN, Time and the Wall St. Journal.  Personally, I would say that it was easily one of my most exciting opportunities.  Working there, you really felt […]

Why a ‘Research’ Engine is better than Search.

Why would you want to use a Research Engine over a Search Engine?  The answer is simple:  You want a more in-depth answer than a search engine could ever provide.  When we first started showing our platform to the world, the first thing we heard was:  “Oh, okay, so you’re a search engine.” Well, no, […]

kmcowan 27 July, 2018 2

Capture Club Predictive Research Engine Architecture

We are NOT a Search Engine.  We are a Research Engine. Over the years, we have developed a fast, robust, resource-friendly, distributed framework for handling near-real-time Machine Learning and Predictive Analytics. From a high-level, our architecture looks like this: External datasources (E.g. websites, documents, file systems, etc) are ingested using our proprietary Indexing Engine, and […]

kmcowan 26 July, 2018 0

MemeFinder: No Dictionaries Needed

When I was working for the related content provier Sphere, I was presented with an interesting problem. We were using Apache Lucene back before using Lucene was cool, and overall it worked very well. However, there were some contextual gotchas that were causing them trouble. Homonyms, in particular, were causing un-related results to appear. Being […]

kmcowan 22 July, 2018 0

ACREW: Adaptive Crew Response Engagement Work-engine

Author’s Note: The topic of this white paper illustrates a proposed solution to solve complex scheduling issues associated with national and international transportation.  While this solution does not current exist out-of-box, the foundational components that would power it currently exist and have been successfully deployed in a production environment.    Read more about Capture Club’s currently […]