Posts tagged with Machine Learning

Automated content is a thing – but should it be?

‘An automated world is coming!’ the headlines inform us. It’s a daunting prospect. Technology develops apace, and the path of automation seems to lead inexorably towards humans being replaced by machines.

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shop the look

Image recognition in ecommerce: Visual search, product tagging and content curation

There are clear use cases for machine learning-powered image recognition in ecommerce – namely visual search, product tagging and content curation.

Fashwell is a company that provides such technology, so I asked a few questions of CEO and co-founder Matthias Dantone.

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edited

How machine learning can set fashion ecommerce strategy & product assortment

Machine learning is having a big impact on fashion retail.

We recently caught up with senior data scientist Joe Berry at retail tech company Edited and asked him about trends in this area, as well as how the Edited product uses machine learning to help set retail strategy.

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seo

AI and search: How one agency does keyword classification at scale using machine learning

Machine learning is rapidly having a big impact on ecommerce as martech and agencies invest in data science.

I recently covered LoveTheSales.com and its use of AI for product categorisation. Off the back of this, performance marketing agency iProspect got in touch to tell me about their work with keyword categorisation.

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lovethesales.com

This online retailer uses AI for product categorisation – here's how

Whilst the use of machine learning in marketing seems to be skyrocketing, there’s a dearth of coverage in the media that tries to get to the bottom of this technology in terms a layman can understand.

I am irrefutably a layman, and have written a little on the topic of AI for Econsultancy, often specifically about ecommerce. You can read some of my previous articles here:

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Google Analytics will soon be able to answer questions in plain English

"How did traffic from search change year-on-year in June?"

In the coming weeks, Google Analytics users will be able to ask questions like this and have them answered in seconds thanks to natural language processing (NLP) and machine learning (ML) technology Google is integrating into its popular analytics platform.

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graph team

A beginner's guide to building a data science team

So, you want to build a data science team? Here's some stuff to think about.

Before long, just like this stock photo, you'll have a team of weird orange people with big bulbous heads, who can sit around a table looking at an enormous hologram of a simple bar chart.

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maturity model analytics

Predictive analytics: Four prerequisites of an effective strategy

Predictive analytics or big data analytics is the process of taking a range of data sources and using algorithmic analysis to identify patterns in the data and predict future user behaviours.

In Econsultancy's Predictive Analytics report, in association with RedEye, a model was proposed detailing three stages of analytics maturity.

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ben chamberlain

A day in the life of... senior data scientist at ASOS

A particularly fascinating Day in The Life this week sees us catch up with a senior data scientist at ASOS.

Ben Chamberlain spends much of his time with machine learning, helping ASOS optimise its website and communications.

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suit you sir

What's the difference between AI-powered personalisation and more basic segmentation?

At a recent Econsultancy event I moderated a discussion about AI (more correctly, machine learning and deep learning) and marketing.

It became apparent that although the power of this technology is very much appreciated in a number of guises (including natural language processing, computer vision, and the processing of unstructured data for account based marketing), there is some confusion about how it applies to personalisation and segmentation.

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Big data: the golden prospect of machine learning on business analytics

The boom in the B2B big data market (from a sub-$100m industry in 2009 to $130bn today) mirrors an enterprise-led scramble to invest in data mining, reminiscent of the California gold rush, accompanied by a similar media buzz.

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robot

Learning to trust the machines: AI and company culture

AI has myriad applications in our industry, but how quickly will marketers accept that the machines know best?

We all like to believe we are rational human beings, and can understand the power of machine learning, just as we understand the simple logic of an A/B test.

But how will company cultures react to machines that could be seen to undermine your star copywriter or best biz dev guy?

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