WTiN.com - Technology at its heart

WTiN.com is evolving and it’s doing it quickly! WTiN has for many years delivered unmatched intelligence and insight into the global textile manufacturing industry. Increasingly we are delivering decision making intelligence and helping our customers choose a better and more informed direction for their businesses.

But what next? Step forward Technology, ‘Artificial Intelligence’ and ‘Machine Learning’!

We wanted to let you know how we at WTiN are harnessing technology to develop new features on wtin.com to help you discover new information that will truly help your business.

Interest? Of course, you are, read on!

Artificial intelligence (AI), machine learning (ML), the textile industry – surely not? Surely YES!

Here at WTiN, we’ve been following this subject for some time; in fact, we’ve been using elements in our products for several years now, but with our new ‘Discovery’ suite of tools we are moving from using AI and ML behind the scenes to very much putting them in front of our customers through wtin.com. So, how are we are leveraging AI, ML and associated technologies right now and what are our future plans?


What are AI and ML and the difference between them? Coined in 1956 by John McCarthy, AI involves machines that can perform tasks that are characteristic of human intelligence. These include things like planning, understanding language, recognising objects and sounds, learning, and problem solving. There is (and will always be) a debate around whether AI is truly possible.

ML, on the other hand, is simply a mechanism for achieving AI. ML is:

“The ability to learn without being explicitly programmed.”

Usually, this involves ‘training’ algorithms using large quantities of historical and/or known data to enable prediction (with a certain level of probability) of a future outcome based on changing inputs. This sounds like a classic predictive model, but the difference with ML is that a system can continually update the model and ‘learn’ on the job. As two terms, AI and ML are not interchangeable.

For an information provider like WTiN the availability of these technologies allows the Discovery of information like never before.


Something we’re keen to stress is that we’re not looking to use new technologies just because we can. AI tools mixed with some of our own proprietary ML are and will add value to WTiN’s products:

    • Understanding – What does content mean and what is it about? By using AI to extract content metadata (see the ‘how’ section below) we can analyse, link and extract insight from content like never before
    • Aggregation – We’ve been aggregating content using AI tools for a long time, but technology is now allowing us to use this content in many new, truly valuable ways
    • Sentiment – Understand what the World is thinking about the textile manufacturing industry, a sector of it, a company in it or even an individual key opinion leader! Is it positive or negative?
    • Trend – How are things moving and what are the trends? Knowing what’s happening now is useful, knowing how things have changed and combining this with WTiN’s insight and ML capabilities makes for a very powerful predictive model
    • Discoverability – Overarching the above is the opportunities the technology offers to our customers to discover more information of new types in the most efficient way. Finding the micro detail, not just the macro! Check out our Discovery specific product page


How are we using them? We’re using several tools and processes. Here are just a few:

  • 1. IBM Watson

    This is one of the major tools in our arsenal, which is why you’ll see logos on WTiN.com and on WTiN email communication. We use IBM’s Watson natural language understanding service to process all of our content. Below is a video from IBM about the service that you might find interesting. It’s general and not specific to our industry, but it gives a flavour of how we use the service to extract metadata from our content. We then use this data to help build-out some of the services we’ve already talked about.