The Fibres & Yarns channel provides a viewpoint on both natural and manmade fibres and yarns, as seen through the eyes of manufacturers, growers, processors and spinners, with a mix of technical articles, analysis and product innovation news.
The Knitting & Weaving channel offers analysis and manufacturing technology updates for the global fabric manufacturing industries and their supply-chain partners.
The Effects channel comprises news, analysis and technical information on the important realms of dyeing, finishing, printing (both screen and digital) and coating.
The Technical Textiles channel features news, market insight, analysis and product development updates from the fast-growing markets in technical textiles, covering all applications and end uses.
The Nonwovens channel brings you unrivalled coverage of the manufacture and uses of engineered polymer and fibre ‘non-textile’ products.
By Fiona Haran
The Textile Economics channel is your instant window on the global raw materials prices, trade movements, resources and manufacturing costs that can affect the profitability of your textile products.
By Jonathan Dyson
By Jonathan Dyson
By Jonathan Dyson
Our Insight channels take a look at global textile and apparel industry innovation, businesses, technology and markets, provided by WTiN’s in-house team of journalists. WTiN Insight is set apart from news content as it discerns the importance of changes and developments in the supply chain. Insight doesn’t only tell you ‘what’ has happened, it also covers impact, the bigger picture and the industry’s response to trends, events and more.
The Digital Textiles channel provides you with industry insight, market information, and the connections you need to examine and evaluate market trends in the roll-to-roll digital textile printing sector.
By Roger Wills
By Madelaine Cornforth
The Protective Textiles channel is a source of market and technical intelligence in the field of protective textile technologies and applications, encompassing both industrial and military markets.
By Shreya Sonalker
By Anna Borkowicz
By Anna Borkowicz
The Textile 4.0 channel helps investors and decision makers in the technology, manufacturing and retail sectors to understand how the coming industrial evolution may impact the future of their business.
By Sophie Darby
Our Intelligence channels offer market intelligence, technical reports and deep-dive analysis of key industry motivators, technologies, materials and impactors. WTiN Intelligence provides detailed analysis of important high-growth areas of the textile and apparel industry. WTiN’s expert team of analysts and network of researchers go beyond the what and the why to look at what might come next, what businesses need to contend with in an evolving global supply chain, and how they can take advantage of the opportunities on the horizon.
Future Textile (FT) is focused on innovation in the fast-growing technical textiles sector, from fibre to finished product, covering all the applications and end uses across the world. As global demand for technical textiles rises, high-level executives and product designers increasingly turn to FT for the latest news, product launches, R&D projects, conference reports and market insight.
Nonwovens Report International (NRI) keeps you up-to-date with the latest developments across the nonwovens market. With its team of technical and industry experts, NRI makes use of its close ties with associations, research institutes and market-leading businesses to bring you international reporting that covers areas all over the world.
Previously known as IoTex, the newly relaunched Textile 4.0 journal delivers vital insights into the burgeoning transformation of the textile and apparel value chain. It covers a spectrum of content, from technologies enabling the personalisation trend to supply chain transparency, the latest in fabric gripping robotics, smart clothing and much more.
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 we’ve got some exciting plans for future features, services and projects. So how are we are leveraging AI, ML and associated technologies and what are those future plans?What?
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. The two terms are not interchangeable and should not be used as such, so I’ll stop doing it!Why?
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:
So how are we doing this? We’re using several tools and processes. Here’s just a few.
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.
Microsoft Machine Learning
The big ‘M’ provide a great platform for building out machine learning, automating models and removing some of the monotony associated with building predictive ML models. This official line sounds pretty impressive:
“Build artificial intelligence (AI) applications that sense, process,
and act on information—augmenting human capabilities, increasing speed
and efficiency, and helping you achieve more.”
We use MML to help learn from our content and sectorise it. When we aggregate content from all over the Internet MML helps us automatically determine which of many WTiN domain specific sectors content belongs in, and it’s learning all the time!
You can find out more about the platform here - https://azure.microsoft.com/en-gb/overview/machine-learning/
Custom R coding
We also utilise some custom developed R code to complete data analysis across several areas of our content.
In truth we use lots of other tools in the process and we’re developing all the time. Keep listening for more news and product developments and if you’d like to learn more then feel free to get in touch!
Head of Media and Technology
Your subscription doesn’t allow access to this content. You’re just minutes away from adding this content to your subscription.